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  • 2011 Volume 13 Issue 1
    Published: 25 February 2011
      

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  • ARTICLES
    YUAN Yecheng, ZHOU Chenghu, QIN Biao, OU Yang
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    The article presented a Nearest Neighbor Index Fuzzy Clustering (NNI-FC) algorithm for ecological regionalization based on multi-layer grid model with consideration of spatial distribution of geographical factors such as climate, vegetation and topography. It's a "bottom-up" regionalization approach and solved the problem of how to determine the ecological regionalizations type and its boundary by calculating the Nearest Neighbor Index (NNI) and the similarity between grids. Numeric and non-numeric features were considered simultaneously in the NNI and similarity, so the algorithm integrated both qualitative and quantitative regionalization methods. The algorithm consisted of three consequence steps: data preprocessing, core region generation and fragmented region elimination. In the data preprocess, some numeric property values were transformed to non-numeric ones through classification of the combination of geographical factors. Next, core regions and fragmented regions were generated by ROCK algorithm, which clustering the adjacent discrete grids with the same property values. Then, on the basis of analyzing the fragmented regions area coverage and its spatial distribution by using NNI, the algorithm divided the fragmented regions into small pieces and merged them into the core region which has the biggest similarity. Finally, an eco-regionalization scheme for the given natural section is formed. The experiment of ecological regionalization for North of Xinjiang shows that the algorithm achieves over 80% classification accuracy and can be very good at expressing the diversity of regional characteristics. Besides, different levels of eco-regionalization scheme can be obtained by adjusting the thresholds of the algorithm and its time complexity is between linear and quadratic ones depending on the thresholds.
  • ARTICLES
    HUANG Lin, SHAO Quanqin, LIU Jiyuan
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    Sanjiangyuan Region, as the headwaters of the Yellow River, Yangtze River and Lancang River, is known as China's Water Tower. In recent several decades, continuously grassland ecosystem degradation and soil erosion in the region were increasingly serious due to natural and human activities such as global warming, overgrazing, mining etc. Currently, the degradation of grassland ecosystem has attracted attention worldwide. Therefore, the spatial and temporal patterns of soil erosion in the region were beneficial to provide scientific foundation for ecological protection and construction. This study aims to analysis the relation between grassland degradation and soil erosion, and spatial variations and dynamic of grassland soil erosion in the region since 1970s, according to remote sensing interpretation of soil erosion, land use and grassland degradation information. This paper analyzed spatial difference of soil erosion and its dynamic status over the past 30 years in grassland ecosystem in Sanjiangyuan Region, Qinghai Province. The results showed that the proportion of soil erosion in this region account for 46.74%, and 56.04% in the grassland. The primary types of soil erosion in Sanjiangyuan Region are composition of freeze-thaw and wind or freeze-thaw and water erosion, about 41.93% and 20.48% of total erosion area respectively, and most of the erosion degree is slight. The distribution altitude range were 3200~4600m, 2800~3600m and more than 4400m, and the slope range were 5~25°, less than 3° and 5~15° for water erosion, wind erosion and composition freeze-thaw erosion respectively. The erosion degree of wind erosion and composition freeze-thaw erosion increased with elevation rising, and decreased for water erosion. Soil erosion from the beginning of 1990s to 2004 showed more enormous degradation than the former period, and the warming climate and grassland degradation resulted overloading and overgrazing were the main driving forces.
  • ARTICLES
    ZENG Hongwei, LI Lijuan, LIU Yumei, LI Bin, ZHANG Yongxuan
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    To extract digital rivers, catchments and sub-catchments from DEM is a fundamental problem in hydrologic analysis, simulation and non-point source (NPS) pollution management. The method and the accuracy of extraction from different DEMs were introduced. This paper mainly includes three parts. Firstly, the fundamental characteristics of HYDRO1K, SRTM3-2 and ASTER GDEM were analyzed, and the differences of spatial resolution levels, trends, coverage area and errors of the three data sources were compared. Secondly, the key steps of extracting digital drainage networks and catchments and sub-catchments boundary from DEM by using Arc Hydro Tools were discussed, which includes DEM Reconditioning, Build Walls, Adjust Flow Direction in Lakes and Flow Direction with Streams. Thirdly, Taoerhe drainage was choosed to be the study area, and the classified accuracy of drainage network extraction, catchment and sub-catchments delineation from multisource DEMs at different landscapes’ types with or without the river vector data has been studied. Results showed that: (1)Without aid of river vector data, digital drainage networks of medium mountains and low mountains-hills, which extracted by three types of DEM mentioned above, were consistent with the real river networks. Furthermore, the main channels extracted by HYDRO1K were similar with the real main channels, while there were great deviation between the real main channels and the main channels extracted by SRTMS-2 and ASTER GDEM, especially by ASTER GDEM. There were a little difference between the real drainage boundary and the boundary extracted by HYDRO1K, SRTM3-2 and GDEM. Therefore, it could be a good choice of extracting hydrographic patterns from HYDRO1K without aid of river vector data. (2)By aid of real river networks, digital drainage networks of medium mountains and low mountains-hills, extracted by three types of DEM, were consistent with the real river network, the same to the main channels, especially digital drainage networks extracting from SRTM3-2 and ASTER GDEM have got great improvement. The drainage boundary extracted by HYDRO1K, SRTM3-2 and GDEM conformed to real drainage boundary, especially HYDRO1K has got a good result.
  • ARTICLES
    CHEN Junming, LIN Guangfa, YANG Zhihai, CHEN Hanyue
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    Digital Elevation Model (DEM) is the main data source for digital drainage network extraction. But the extracted result would have great subjectivity because of the scale influences by the parameters such as the drainage area threshold and DEM resolution. Therefore, it is of great significance that how to optimize these factors for extracting the drainage networks better. The existing researches are mainly concerned on any two factors qualitatively or quantitatively. It is yet to be answered about how to define the drainage area threshold and the spatial resolution in a given research area. Taking Xiamen City of Fujian Province as the study area and using the Digital Line Graphic (DLG) on the scale of 1:10 000 as the original data to construct the DEM with grid cell size of 2.5m, we re-sampled the DEM into a series of DEMs with nested grid size as 5m, 10m, 20m, 40m, 80m, 160m and 320m using the Nearest Re-sampling method. And then the D8 algorithm and the Hydrology module in ArcGIS software was employed to extract the drainage networks from each DEM mentioned above with 7 drainage area thresholds as 0.9km2, 2.7km2, 4.5km2, 7.2km2, 9km2, 13.5km2 and 18km2. Finally, the length of the drainage networks, as a key factor, was calculated to analyse quantitatively the relationship between the three parameters mentioned above and to further discuss the optimization of these parameters. The research results revealed that:(1)The length of the drainage networks obeys one composite power function;(2)When thresholds keeps constant, drainage network features decreased with DEM grid cell size continuously;(3)According to the mathematical analysis of the composite function, the optimal grid cell size and drainage area threshold are 40m and 7.2km2 respectively. The extracted drainage networks with the optimal parameters met with those extracted from the SPOT5 remote sensing image very well.
  • ARTICLES
    WANG Jingjing, WANG Wenjie, LANG Haiou, RAO Sheng, WANG Wei, BAI Xue
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    In this study, taking Xiaojiang Watershed of the Three Gorges Reservoir Area as the research object, comprehensively considering the effects of land system, aquatic system, and socio-economic system on the water environment, an index system of integrated water environment regionalization was established, and the basic unit of division was developed under the watershed DEM. In accordance with the method of dominant factors and space overlay, combined with GIS software, integrated water environment regionalization in Xiaojiang Watershed was separated into three zones, i.e. water conservation and ecological conservation zone in the north, pollution control zone in the south, and eutrophication control zone on the mainstream area of Xiaojiang Watershed, respectively. And according to the characteristics and the main environmental problems of the region, put forward environmental protection requirements and measures. In the water conservation and ecological conservation zone, vegetation are not high, and degradation is obvious, requesting to protect existing forest, prohibite excessive deforestation, and facilitate afforestation; in the pollution control zone, forest and grass cover is low, soil erosion is very serious, and industrial pollution emission is the most important factor causing changes in water quality, needing to take pollution control as the main approach; Xiaojiang Watershed is the largest fluctuation band in Three Gorges Reservoir eutrophication control area, requiring proper resettlement, while focusing on strengthening eutrophication management. By exploring the integrated environmental management approach in Xiaojiang Watershed, we proposed zone management of water environment as a new idea, in order to improve the management of water environment in China.
  • ARTICLES
    ZHANG Zimin, ZHOU Ying, LI Qi, MAO Xi
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    Model coupling has been a prevalent research method in geoscience recently. Modeling framework is of the same category among various modeling environments by coupling, which gains many applications at present time. But the requirement of the frameworks decreases their usability, and also throws a heavy burden to users, which is researchers have to perform the coding and compiling tasks for coupling models. Taking ESMF as the foundation that is a representative modeling framework, this paper gives a detailed discussion on the problems presented in the research of building an icon-based modeling environment by coupling and their solutions. A methodology of generating codes of coupled models automatically is first proposed according to the coupling modes refined, as well as the relationships implicated by them which are the orders of calling models and the dependency of the input and output variables of coupled models. Then an approach of Open Concept Framework is developed with the purpose of expressing and confirming the semantic similarity between model variables. Based on the OCF and its building foundations, model metadata, a method is designed to verify the spatial and temporal consistency between the coupling models, and the matching between the input and output variables. Lastly, a prototype of icon-based modeling environment by coupling is developed, which implements the methodologies given above. Furthermore, two testing scenes are devised to examine the characters of the prototype. The results indicate that the entire error coupling operations existing in the scenes are refused by the system, and oppositely the correct couplings are accepted completely. Also, valid codes for the accepted coupling models are generated by the system and run in ESMF successfully.
  • ARTICLES
    YU Linjun, PAN Ying
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    3D GIS will be the next generation of geographic information system (GIS). Ideally, 3D GIS should be developed based on good theoretical foundation. Currently, many researches have been carried out both by academic groups and commercial sector to develop 3D GIS application. So far, there is no ideal 3D GIS product available on market partly due to the complicated topology of spatial objects in 3D environment, inappropriate spatial data structures and hardware limitation. Studies carried out indicated that the integration of 3D visualization technology with current 2D GIS applications could be an alternative for realizing 3D GIS. One obvious benefit of such combination is that it can take advantages of both technologies. Service-based integration aims to realize the integration of 2D GIS with 3D virtualization technology based on service framework. Data transmission speed between remote server and client is the main bottleneck of providing textures for 3D rendering engine. Thus, the key problem of this type of integration is how to maintain the frame rate of rendering in 3D client under the limited data transmission speed. This paper promotes a system architecture based on C/S framework, in which the core is consisted of a LOD-based rendering architecture and a data service architecture based on double cache mechanism, which will help overcome above problems. The double cache mechanism is designed to improve the performance of data serving at both client side and sever side by using a client data cache and a sever data cache. The prototype GIS sever is developed by ArcGIS Engine to provide data and traditional 2D GIS service, for example, spatial querying, for 3D client. The client application is developed with help of World Wind, an open source software, which acts as a user interface. The results obtained by this prototype system show that how this framework helps to overcome the key problem of the integration of 2D service GIS with 3D visualization technology, which would be extended for various applications in feature. This framework is also suitable for B/S framework simply by encapsulating 3D client into a web component.
  • ARTICLES
    CHEN Wenjun, CHEN Suozhong, DU Ee, WANG Yanfei
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    Emergency monitoring is a very important step in response to dealing with sudden air pollution accidents; however, the traditional monitoring methods sometimes appear passive effects in practice, owing to the lack of techniques. In this paper, we presented and discussed the overall requirements analysis, the system architecture, four function modules and three key technologies of the emergency monitoring system to sudden air pollution accidents. Through analyzing the working process of air pollution emergency monitoring, we proposed that the design and development of the system should base on the storage and management of a variety of emergency monitoring data, and accord with the working process of emergency monitoring. The system uses Client/Server architecture, and is deployed in the Local Area Network to ensure a highly safe reliable and real-time environment. In this paper, we discussed the four function modules in detail and analysis the three key technologies that contain spatial information processing. The four function modules are basic information management, emergency monitoring response, spot emergency monitoring and recovering monitoring. And the key technologies are the location and query of varieties of spatial objects, the definition of air pollution accident danger zone through integrating Gaussian pollution dispersion model, and the expression and analysis of monitoring data by comprehensive use of statistical charts and contours. The result shows that comparing with traditional methods, this emergency monitoring system helps to respond sudden air pollution accidents more rapidly for the emergency monitoring staff.
  • ARTICLES
    SUN Jian, YUAN Linwang, LV Guonian, YU Zhaoyuan, XIE Zhiren
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    With the implementations of global-change and other major science programs, there is an urgent need to collect and share multi-source heterogeneous mass of data at regional and even global scale systematically. Traditional data centers only provide downloading service, which significantly lacks services to diversified needs of users. Therefore, it is one of the main directions of data sharing network development to meet the demand for users and achieve spatially displaying and data mining based on GIS technology. Taking the construction of climate and sea-level change dataset in the Geodata-sharing network as an example, aiming at the management and retrieval of geo-scientific datasets, based on research of climate and sea-level change data model, in this article we carried out unified planning, designing and management of the related databases. Furthermore, ASP.NET, ADO. NET system development environment are used to build the retrieval system of climate and sea-level changes based on .NET and ArcIMS technologies. Users in a unified platform can achieve single retrieval such as basic data, thematic themes, spatial contents and literature searches or multi-angle integrated retrieval. Simultaneously, with the application of GIS, a number of data analysis and data mining functions are achieved preliminarily and the literature and related geodata visualization are also achieved. The user-oriented services to unified storage management, publication, retrieval and sharing are accomplished preliminarily, which is a valuable attempt to science data centers by converting the simplex data downloading centers to the multi-functional data service centers.
  • ARTICLES
    WU Tong, NI Shaoxiang, ZHANG Chunhui, WU Xiaoming
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    This paper focuses on the Web Geographic Information System (WebGIS) for atmospheric equipment monitoring based on ArcGIS Server technique. MVC design pattern based on JSF and ArcGIS Server techniques was implemented in the system (i.e. Atmospheric Equipment Monitoring System) which combined with WebGIS key technology. Atmospheric Equipment Monitoring System was divided into four layers, i.e. client layer, web layer, WebGIS application service layer and database layer. Web layer includes view, controller and non-spatial business logic, mainly implementing the user interface in the four layers. WebGIS application service layer, which contained the business logic, was accomplished by invoking the ArcObjects on GIS server and the Application Program Interface (API) of ArcGIS Server, and JavaBeans with spatial data processing functions were also used in this layer. Spatial data was managed and stored by ArcGIS SDE 9.3 and Oracle 10g, which was accessed by means of service objects' calling from WebGIS application service layer. The key technologies such as Asynchronous JavaScript and XML (Ajax), dynamic change of vector data and raster data were used in the information system. The Atmospheric Equipment Monitoring System consisted of equipment operation status monitoring, meteorological element mapping, abnormal weather monitoring, extreme value monitoring, data quality assessment and comprehensive information display. Users can monitor the operation status of meteorological equipment by the system, which is useful for making decision. At the same time, it would contribute to weather process analysis, early detection of abnormal weather phenomena, would enhance analysis and decision-making capacity for disaster prevention in China.
  • ARTICLES
    WU Jianhua
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    Vehicle monitoring and dispatching system based on GPS/GIS can real-timely know of the vehicle’s status messages such as position, speed and direction. This technology provides a brand-new vehicle management method for people. GIS system for vehicle monitoring in client-side is an important component part of vehicle monitoring system, and researching and developing this system has strong practical significance and application value. In order to meet the actual demand of vehicle monitoring project, by using ArcGIS Engine, Oracle database and Visual Basic6.0, this paper developed client-side software in monitoring center, i.e. GIS system for vehicle monitoring. This paper discussed development process and function integration method of vehicle monitoring GIS system by utilizing some controls such as MapControl, TocControl, ToolbarControl and some component interfaces, including ICommand, ITool, and IToolBarDef, designed system’s technology frame, functions and database for vehicle monitoring GIS system, implemented prototype system, and provided implementation methods of system’s feature and key functions. These functions include the following aspects: (1) Measurement function: coordinate dynamic transforming when measuring arbitrary length or area, implemented snap function by using the cache technology of IFeatureCache interface, achieved better effect. (2) Dynamic display of vehicle’s moving: using self-defined symbol to symbolize the vehicle on digital map, symbol’s direction will change along with vehicle’s moving direction after starting monitoring. (3) Querying and drawing of historical track: provides querying and displaying of historical track in a certain period for one vehicle. (4) Getting the latest position: provides querying of the latest position information and spatial positioning for vehicle on digital map. The results show that the proposed development method is simple and practical, helping to optimize the system structure and improve development efficiency. The system’s functions are easy to use, meeting the needs of practical application. So, it has great reference value for related GIS system construction.
  • ARTICLES
    LI Muzi, XU Zhu, HUANG Zechun, LU Caixia, MU Yonglei
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    It is desirable that massive data of Web maps can be incorporated into desktop GIS systems for use and analysis. But Web maps can not be added into desktop GIS systems directly, because Web maps don’t conform to the geospatial service standard published by OGC. Fortunately, the tile of Web maps can be downloaded and advanced desktop GIS has a built-in extension mechanism. Those together make it possible to integrate desktop GIS applications and Web Maps. This paper presents a generic method for the integration. Most Web maps consist of sets of tiles of multiple scales, covering the entire surface of the Earth at each zoom level. A key of the method is the acquisition of dynamic information of Web maps, such as the extent and zoom level of the right set of tiles and the URL of each tile, from the projection and resolution of Web maps and the extent of the active view in the desktop GIS system. In order to accelerate the process of downloading the tiles and to make it not interfere with other operations of desktop GIS system, the process of tiles downloading should be asynchronous and Multi-Threaded. After fetching the tiles, the tiles may be cached. By tagging spatial reference information to the tiles, the tile images can be turned into raster layers supported by most GIS platforms. The custom layers control the drawing properties and the actual drawing of the set of tiles. Furthermore, different Web maps can be accessed using a uniform interface through the introduced configuration mechanism for dealing with multiple data source. To test and verify the proposed method, we choose ArcGIS Desktop as the test platform. Custom extension and custom toolbar have been employed in the implementation of custom layers. With the developed extension and its associated toolbar, Web maps can be added into and displayed instantly and dynamically in ArcGIS Desktop. Four categories of Web maps are supported, which amount to twelve layers, including Google maps, Bing maps and Esri map services. The advantages and limitations of the method are discussed. The proposed method may find wide applications in other cases of integrating desktop and web applications.
  • ARTICLES
    TANG Zhongshi, WANG Yanzuo, XIN Yu, WU Fenzhi, ZHOU Weiqiang, ZHOU Bin
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    Three-dimensional GIS is more and more extensively used in the modeling and analyzing of geological bodies. It has the advantages of intuition, real and powerful analysis functions. The High-Cutting Slope is a special kind of geological body, which has its own characteristics and is necessary to be modeled in an integrated way. It is appropriate and efficient to develop a visualized and aided analysis system of the high-cutting slopes using the 3D GIS. By studying the 3D visualized modeling algorithms, we noticed that there isn’t an algorithm which can effectively model underground objects, ground objects and ground surface from the same viewport and at the same time, but it is needed in the modeling of the high-cutting slopes because of their characteristics and potential hazards. As a result of this, we proposed a new concept of underground ground surface-ground objects integrated visualization which points out the way to solve the problem of integrated model. Based on this new concept, we extended the data structure and modeling algorithm of 3D GIS, and implemented some relative functions such as: three-dimensional navigation, format converting from common GIS data formats, visualization of the integrated models and so on by using OpenGL and C#. We also implemented some spatial analysis functions such as spatial query and spatial plane slice based on the new data structure, and developed an information system which is currently used in the monitoring and early-warning information system for the high-cutting slopes in the Three Gorges Area.
  • ARTICLES
    CHEN Jiangping, HUANG Bingjian
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    Spatial autocorrelation is a very general statistical property of spatial variables, it indicates correlation of a variable with itself through space. Spatial association rule mining, discovery of interesting, meaningful rules in spatial databases, ignores autocorrelation of spatial data, or just generalizes the spatial data into attribute data currently. In most of the ways on spatial association rules mining, they transferred the spatial relations into non-spatial relations by virtue of spatial analysis. This means the separation of spatial autocorrelation from spatial association rule mining. In order to study the relations between spatial autocorrelation and spatial association rule mining, in this paper, the spatial association rules were mined by developed Apriori algorithm. Then, spatial autocorrelation analysis was implemented in the same spatial data set. A basic assumption of many spatial association rules mining is lacking for a priori information about spatial attributes. The two dimensional spatial autocorrelation results were used as priori knowledge in spatial association rules mining in this paper. The experimental data is about the amount of the hay fever (disease caused by pollen allergic rhinitis) patients and its factors, including temperature, precipitation and vegetation types of each county in the United Kingdom in 2000. The obtained frequent itemsets and the spatial association rules prove that factors have stronger correlation with hay fever (correlation coefficient is lager) appear with hay fever simultaneously more frequently in the spatial database, which confirms the existence of the effects that spatial autocorrelation has on spatial association rule mining. The analysis results not only point out the relation between spatial autocorrelation and spatial association rule mining, but also provide priori knowledge in the process of spatial association rule mining, making the mining process more targeted. Besides, without calculating the Cartesian in developed Apriori algorithm, spatial autocorrelation analysis can get the correlation coefficients efficiently, making the mining process more effectively. Further work would focus on how to evaluate the effects of the spatial autocorrelation on spatial association rules mining, how to find out the candidate frequent spatial itemsets from the results of spatial autocorrelation analysis in practical application.
  • ARTICLES
    XIAO Fei, PARROT J.F., DU Yun, LING Feng
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    We developed and tested a geo-statistical methodology to correct the spatially correlated errors of SRTM DEM and downscale the spatial resolution of the DEM using auxiliary street map and GPS data in city areas. The methodology was based on geo-statistics and spatial analysis techniques in GIS. The calculation procedures were illustrated using a case study in the Xico area of Mexico City. Spatial structures of all the surface features contributing the elevation value within a single SRTM resolution cell were separated into basic components. Then the syntagmatic relationships among the basic components were evaluated and verified using GPS survey data in the study area. Afterwards, spatial relations between the structure of the basic components and the errors surface of the DEM were analyzed using GIS spatial analytical methods. From spatial analysis, the error surface of SRTM DEM proved to be spatially correlated with spatial patterns of streets in the study area. A global error of the DEM was also identified through the above process. Accordingly, the spatially correlated random errors and the global error can be located and corrected by using the auxiliary street map and GPS data. Since the auxiliary street map has finer resolution than the SRTM DEM and is spatially correlated with the error surface of the DEM, the coarse-resolution DEM in the city area can be downscaled to a finer resolution DEM according to the spatial relations between DEM and the auxiliary street map using geo-statistical methodology. The result shows that the downscaled DEM has better performance on the representation of real topography and urban structure. Even though the result was determined by the accuracy of the original DEM, the methodology presented here is effective at downscaling of spatial resolution and the correction of the spatially correlated errors for SRTM in city areas, and could be helpful in topographical information collection provided that there are deficient of other higher resolution DEMs.
  • ARTICLES
    LIN Zhilei, YAN Luming
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    Hyperspectral remote sensing is a frontier technology that is currently being investigated by researchers and scientists with regard to the detection and identification of minerals, vegetation, crops, ocean and other backgrounds. Hyperspectral remote sensing imagery has tens or even several hundreds of bands with bandwidth of nanometer level and contains abundant spectral information, but its redundancy made by mass data and high correlation in adjacent bands restricts the application of hyperspectral remote sensing. So, rational feature extraction will be required to find the optimal characteristics for maximum separability before the hyperspectral imagery classification. This thesis, taking Hyperion hyperspectral visible/infrared sensor aboard an earth observation satellite platform (EO-1) for example, applied independent component analysis (ICA) to carry on the feature extraction on Hyperion hyperspectral imagery with high dimensions, a strong correlation and huge data. Then, a modified independent component analysis algorithm (M-ICA) was put forward. Finally, the results by the algorithm (M-ICA) and principal component analysis (PCA) were compared with experimental data of selected test area, while using the maximum likelihood classification method to classify objects to verify its validity on object type extraction. Experimental results show that the operation efficiency of M-ICA algorithm is apparently higher than the traditional FastICA algorithm, which average iteration number and time are only 14.49% and 17.32% of the latter. In addition, the total classification accuracy of M-ICA result image is up to 90.57%, which is raised 10.8% and 20.0% more than that of PCA result image and that of Original Hyperion imagery. Therefore, the results indicate that M-ICA is a good feature extraction method with fast convergence speed, can effectively realize the dimension reduction of the hyperspectral imagery, and improve the objects separability in different categories.
  • ARTICLES
    SONG Chunqiao, YOU Songcai, KE Linghong, LIU Gaohuan
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    Remote sensing vegetation index time-series datasets have been applied widely in various fields, such as monitoring and simulation of terrestrial ecological environment system on global and regional scales, analysis of vegetation cover dynamics, recognizing features and extracting information of vegetation phenology and so on. However, due to errors from information collection and transmission process of sensors, different atmospheric conditions and random ground situations etc, various residual noise exists in NDVI time-series data. Therefore, a series of NDVI time-series data reconstruction methods have been developed to solve the problem. In this paper, various newly proposed and modified reconstruction methods are summarized and evaluated firstly. Then the three primary methods, i.e. asymmetric Guassian (AG) function fitting, double logistic (D-L) fitting method and Savitzky-Golay (S-G) filteration, are introduced in terms of basic principles and features. Based on the TIMESAT program, by taking some NDVI time-series of pixel samples of different land cover types as instance, the suitability and defects of the three approaches are analyzed and discussed. The result shows that the former two methods generally present similar performances, but on fittings of peak of these time-series curves there are minor differences. Besides, the three methods have inconsistence effects in different study areas, land cover and research purposes. In detail, the S-G method has a more excellent performance in reconstructing NDVI curves in alpine desert and forest-covered area with much noise, while the D-L and AG function fitting methods could conduct more accurate reconstructed time-series dataset in alpine shrub or marshy grassland regions, especially for fitting the start and end period of vegetation growing season. For crops-planted land cover, the double logistic fitting method can't fit the correct curve of NDVI time-series, and the asymmetric Guassian function fitting has the best performance. Finally, based on AG function fitting method, the NDVI time-series of 2007-2009 in North Tibet are reconstructed, and the processed NDVI values are clearly more homogeneous than those in raw data.
  • ARTICLES
    YAO Jin, LI Jingrong, LING Zao
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    The exploitation of geothermal resource has very important significance to make the best use of clean energy sources, play down the strain in energy sources and develop circulatory economy. At present, the traditional geophysical exploration method of geothermal resource has the disadvantages of long period and large investment resulted by the anomalies in gravity, magnetism and electricity. It is likely to appear large risk investment or blind mining. However, the exploitation of geothermal resource based on modern remote sensing technique that uses infrared wave band has the characteristics of speediness, large area and lower cost in geothermal information extraction. Using relative data processing method, we carried through remote sensing geological interpretation. According to the differences of ground object radiation temperature reflected by earth satellite infrared remote sensing data, we enhanced effects in band difference algorithm and HIS (HLS) color switch in order to distill the distribution of geothermal anomaly. Finally, based on an information pattern, we got the geothermal area through combining remote sensing geological interpretation with information in geological structure and landform, and directed the searching of geothermal water in unknown region. This technique is scientific, valid, and ought to be applied in other regions.