地球信息科学学报 ›› 2021, Vol. 23 ›› Issue (6): 1106-1117.doi: 10.12082/dqxxkx.2021.200532
李志红1,2(), 李旺平1,2,*(
), 王玉1,2, 陈璐1,2, 郁林1,2, 周兆叶1,2, 郝君明1,2, 吴晓东3, 李传华4
收稿日期:
2020-09-16
修回日期:
2021-01-06
出版日期:
2021-06-25
发布日期:
2021-08-25
通讯作者:
*李旺平(1982— ),男,甘肃天水人,副教授,主要从事3S技术及应用研究。E-mail: lwp_136@163.com作者简介:
李志红(1996— ),女,甘肃白银人,硕士生,主要从事3S技术及应用研究。E-mail: 1824316193@qq.com
基金资助:
LI Zhihong1,2(), LI Wangping1,2,*(
), WANG Yu1,2, CHEN Lu1,2, YU Lin1,2, ZHOU Zhaoye1,2, HAO Junming1,2, WU Xiaodong3, LI Chuanhua4
Received:
2020-09-16
Revised:
2021-01-06
Online:
2021-06-25
Published:
2021-08-25
Contact:
LI Wangping
Supported by:
摘要:
随着遥感技术在水体提取与监测方面的广泛应用,更多的研究者致力于提高遥感水体提取的精度。离散粒子群算法在遥感图像分类研究中获得了较高的精度和更稳健的分类效果,已经被应用到遥感水体提取领域,但其在水体提取中的适用性和精度还有待对比与验证。本文采用最新提出的2种基于离散粒子群算法的水体提取方法,即光谱匹配耦合离散粒子群算法(SMDPSO)与最大熵耦合离散粒子群算法(MEDPSO),基于Landsat8_OLI遥感影像,分别选择了有冰雪、有云、有山体阴影和有建筑物的4种环境复杂,常规方法提取精度较低的区域进行水体提取,并与2种常用的水体指数法(NDWI、MNDWI)进行了对比与验证。结果表明:① SMDPSO和MEDPSO方法在4个实验区都能快速地寻找出最佳的水体分布,具有一定的通用性;NDWI和MNDWI方法对有冰雪、有云、有山体阴影和有建筑物影响的区域表现出水体信息的错分现象,提取精度较低;② SMDPSO方法能够识别细小河流和离散水体,水体提取精度较高,但在有冰雪、云、山体阴影和建筑物的复杂环境下提取精度较低、误判率高;MEDPSO方法不仅可以识别细小水体,而且也解决了其他3种方法在提取过程中无法抑制背景信息干扰的问题,在4个实验区的总体精度均在97.8%以上,高于其他3种方法;③ 将离散粒子群算法引入到水体提取方法之中,可增强方法的区域整体性,也可提高其水体提取的精度和自动化程度;④ 运用最大熵模型等机器学习方法,可以结合光谱、形状和纹理等影像信息以及地形信息来进行水体识别,使得水体信息提取精度更高。本文的研究可为离散粒子群算法的推广以及遥感水体提取方法的选择提供参考。
李志红, 李旺平, 王玉, 陈璐, 郁林, 周兆叶, 郝君明, 吴晓东, 李传华. 基于离散粒子群算法的2种新型水体提取方法的对比与验证[J]. 地球信息科学学报, 2021, 23(6): 1106-1117.DOI:10.12082/dqxxkx.2021.200532
LI Zhihong, LI Wangping, WANG Yu, CHEN Lu, YU Lin, ZHOU Zhaoye, HAO Junming, WU Xiaodong, LI Chuanhua. Comparison and Verification of Two New Lake Water Extraction Methods based on Discrete Particle Swarms Optimization Algorithm[J]. Journal of Geo-information Science, 2021, 23(6): 1106-1117.DOI:10.12082/dqxxkx.2021.200532
[1] | 张毅, 陈成忠, 吴桂平, 等. 遥感影像空间分辨率变化对湖泊水体提取精度的影响[J]. 湖泊科学, 2015,27(2):335-342. |
[ Zhang Y, Chen C Z, Wu G P, et al. Influence of spatial resolution change of remote sensing image on extraction accuracy of lake water[J]. Lake Science, 2015,27(2):335-342. ] | |
[2] | 张莹莹, 蔡晓斌, 杨超, 等. 1974-2017年洪湖湿地自然保护区景观格局演变及驱动力分析[J]. 湖泊科学, 2019,31(1):171-182. |
[ Zhang Y Y, Cai X B, Yang C, et al. Driving force analysis of landscape pattern changes in Honghu wetland nature reserve in recent 40 years[J]. Lake Science, 2019,31(1):171-182. ] | |
[3] | 陈亚宁, 杨青, 罗毅, 等. 西北干旱区水资源问题研究思考[J]. 干旱区地理, 2012,35(1):1-9. |
[ Chen Y N, Yang Q, Luo Y, et al. Ponder on the issues of water resources in the arid region of northwest China[J]. Arid Land Geography, 2012,35(1):1-9. ] | |
[4] | 张奇, 刘元波, 姚静, 等. 我国湖泊水文学研究进展与展望[J]. 湖泊科学, 2020,32(5):1360-1379. |
[ Zhang Q, Liu Y B, Yao J, et al. Lake hydrology in China: advances and prospects[J]. Lake Science, 2020,32(5):1360-1379. ] | |
[5] | Frazier S P, Page J K . Water body detection and delineation with Landsat TM data[J]. Photogrammetric Engineering & Remote Sensing, 2000,66(12):1461-1467. |
[6] | 周成虎, 骆剑承, 杨晓梅, 等. 遥感影像地学理解与分析[M]. 北京: 科学出版社, 1999: 68-90. |
[ Zhou C H, Luo J C, Yang X M, et al. Geological understanding and analysis of remote sensing images[M]. Beijing: Science Press, 1999: 68-90. ] | |
[7] | 李晶, 李恩来, 苗慧玲, 等. 基于LandsatTM数据的济宁市水体识别方法研究[J]. 环境科学与技术, 2013,36(9):175-179,186. |
[ Li J, Li E L, Miao H L, et al. Identification of water bodies in Jining city based on Landsat TM dataset[J]. Environmental Science and Technology, 2013,36(9):175-179,186. ] | |
[8] |
McFeeters K S. The use of the normalized difference water index (NDWI) in the delineation of open water features[J]. International Journal of Remote Sensing, 1996,17(7):1425-1432.
doi: 10.1080/01431169608948714 |
[9] | 徐涵秋. 利用改进的归一化差异水体指数( MNDWI) 提取水体信息的研究[J]. 遥感学报, 2005,9(5):589-595. |
[ Xu H Q. A study on information extraction of water body with the modified normalized difference water index (MNDWI)[J]. Journal of Remote Sensing, 2005,9(5):589-595. ] | |
[10] | 王占昌. 利用决策树对卫星遥感数据进行分类[J]. 青海科技, 2005(5):28-33. |
[ Wang Z C. Using decision trees to classify satellite remote sensing data[J]. Qinghai Science and Technology, 2005(5):28-33. ] | |
[11] | 曹凯, 江南, 吕恒, 等. 面向对象的 SPOT 5影像城区水体信息提取研究[J]. 国土资源遥感, 2007,19(2):27-30. |
[ Cao K, Jiang N, Lv H, et al. The extraction of water information in urban areas based on Spot 5 image using object-oriented method[J]. Remote Sensing for Land and Resources, 2007,19(2):27-30. ] | |
[12] | 陈前, 郑利娟, 李小娟, 等. 基于深度学习的高分遥感影像水体提取模型研究[J]. 地理与地理信息科学, 2019,35(4):43-49. |
[ Chen Q, Zheng L J, Li X J, et al. Water body extraction from high-resolution satellite remote sensing images based on deep learning[J]. Geography and Geo-information Science, 2019,35(4):43-49. ] | |
[13] | 王栋, 李开渊, 王鹏. 城市水体信息提取方法对比分析研究[J]. 经纬天地, 2016(2):34-39. |
[ Wang D, Li K Y, Wang P. Comparison and analysis of urban water information extraction methods[J]. Jing wei World, 2016(2):34-39. ] | |
[14] | Li L Y, Chen Y, Yu X, et al. Sub-pixel flood inundation mapping from multispectral remotely sensed images based on discrete particle swarm optimization[J]. Isprs Journal of Photogrammetry & Remote Sensing, 2015,(101):10-21. |
[15] |
Jia K, Jiang W G, Li J, et al. Spectral matching based on discrete particle swarm optimization: a new method for terrestrial water body extraction using multi-temporal Landsat 8 images[J]. Remote Sensing of Environment, 2018,209:1-18.
doi: 10.1016/j.rse.2018.02.012 |
[16] | 许卫东, 尹球, 匡定波. 地物光谱匹配模型比较研究[J]. 红外与毫米波学报, 2005(4):296-300. |
[ Xu W D, Yin Q, Kuang D B. Comparison of different spectral match models[J]. Journal of Infrared and Millimeter Waves, 2005(4):296-300. ] | |
[17] |
Wang X Y, Wang W J, Jiang W G, et al. Analysis of the dynamic changes of the Baiyangdian lake surface based on a complex water extraction method[J]. Water, 2018,10:1616.
doi: 10.3390/w10111616 |
[18] | 王玉, 张万昌, 李旺平, 等. 耦合最大熵模型的离散粒子群水体提取[J]. 河南科学, 2020,38(4):538-545. |
[ Wang Y, Zhang W C, Li W P, et al. Coupling discrete particle swarm optimization algorithm with maximum entropy model for water extraction from remote sensing image[J]. Henan Science, 2020,38(4):538-545. ] | |
[19] | 徐涵秋. 从增强型水体指数分析遥感水体指数的创建[J]. 地球信息科学, 2008,10(6):6776-6780. |
[ Xu H Q. Comment on the Enhanced Water Index (EWI): A discussion on the creation of a water index[J]. Geo-information Science, 2008,10(6):6776-6780. ] | |
[20] | 丁凤. 一种基于遥感数据快速提取水体信息的新方法. 遥感技术与应用, 2009,24(2):167-171. |
[ Ding F. A new method for fast information extraction of water bodies using remotely sensed data[J]. Remote Sensing Technology and Application, 2009,24(2):167-171. ] | |
[21] | R Eberhart, J Kennedy. A new optimizer using particle swarm theory[C]. Symposium on Micro Machine and Human Science, 1995: 39-43. |
[22] | 蔡伟, 杨少愚, 杨娜. 基于改进粒子群算法在GIS最优路径中的研究[J]. 测绘与空间地理信息, 2018,41(6):116-118. |
[ Cai W, Yang S Y, Yang N. Study on the optimal path of GIS based on improved particle swarm optimization[J]. Surveying and Geospatial Information, 2018,41(6):116-118. ] | |
[23] | J. Kennedy. R Eberhart. A discrete binary version of the particle swarm optimization[A]. Proceeding of the conference on System, Man, and Cybernetics[C]. NJ,USA:IEEE Service Center, 1997, 4104-4109. |
[24] |
Li Q B, Wang Q, Shi S L. Method for estimating the number of mixed spectral endmembers based on feature-enhanced spatial spectral matching algorithm[J]. Journal of Applied Spectroscopy, 2020,87(2):1-7.
doi: 10.1007/s10812-020-00953-z |
[25] | 王彩艳, 王瑷玲, 王介勇, 等. 基于面向对象的海岸带土地利用信息提取研究[J]. 自然资源学报, 2014,29(9):1589-1597. |
[ Wang C Y, Wang A L, Wang J Y, et al. Coastal zone land use information extraction based on objectoriented classification method[J]. Journal of Natural Resources, 2014,29(9):1589-1597. ] | |
[26] | 张华杰, 李庆军. 中甸灯台报春与鹅黄灯台报春的系统演化[J]. 广西植物, 2017,37(2):153-161,259. |
[ Zhang H J, Li Q J. Phylogenetic analysis of primula chungensis and P.cockburniana[J]. Guangxi Flora, 2017,37(2):153-161,259. ] | |
[27] |
Jaynes E T. Information theory and statistical mechanics[J]. Physical Review, 1957,106(4):620.
doi: 10.1103/PhysRev.106.620 |
[28] |
J S Phillips, Dudik Miroslav. Modeling of species distributions with maxent: new extensions and a comprehensive evaluation[J]. Ecography, 2008,31(2):161-175.
doi: 10.1111/j.0906-7590.2008.5203.x |
[29] |
何红术, 黄晓霞, 李红旮, 等. 基于改进U-Net网络的高分遥感影像水体提取[J]. 地球信息科学学报, 2020,22(10):2010-2022.
doi: 10.12082/dqxxkx.2020.190622 |
[ He H S, Huang X X, Li H Y, et al. Water body extraction of high resolution remote sensing image based on improved U-Net network[J]. Journal of Geo-information Science, 2020,22(10):2010-2022. ] | |
[30] | 李宜雪, 董增川, 肖敬, 等. 结雅、布列亚水库对黑龙江防洪需求的响应[J]. 人民黄河, 2019,41(3):53-59. |
[ Li Y X, Dong Z C, Xiao J, et al. Response of Zeya reservoir and Bureya reservoir to the flood control demand of the main stream of the Heilongjiang river[J]. People's Yellow River, 2019,41(3):53-59. ] | |
[31] | 张廷军, 钟歆玥. 欧亚大陆积雪分布及其类型划分[J]. 冰川冻土, 2014,36(3):481-490. |
[ Zhang T J, Zhong X Y. Classification and regionalization of the seasonal snow cover across the eurasian continent[J]. Journal of Glaciology and Geocryology, 2014,36(3):481-490. ] | |
[32] | 张红叶, 蔡庆华, 唐涛, 等. 洱海流域湖泊生态系统健康综合评价与比较[J]. 中国环境科学, 2012,32(4):715-720. |
[ Zhang H Y, Cai Q H, Tang T, et al. Comprehensive assessment and comparison of lakes' ecosystem health in Erhai watershed[J]. China Environmental Science, 2012,32(4):715-720. ] | |
[33] | 黄慧君, 王永平, 李庆红. 气候变暖背景下洱海水面蒸发量的变化及影响因素[J]. 气象与环境学报, 2010,26(1):32-35. |
[ Huang H J, Wang Y P, Li Q H. Evaporation variation from Erhai lake and its controls under climatic warming[J]. Journal of Meteorology and Environment, 2010,26(1):32-35. ] | |
[34] | 苟照君, 刘峰贵. 鄂陵湖[J]. 全球变化数据学报(中英文), 2019,3(1):91-92,200-201. |
[ Gou Z J, Liu F G. Ngoring lake, Qinghai-Tibet plateau, China[J]. Journal of Global Change Data(Chinese and English), 2019,3(1):91-92,200-201.] | |
[35] | 吉红霞, 范兴旺, 吴桂平, 等. 离散型湖泊水体提取方法精度对比分析[J]. 湖泊科学, 2015,27(2):327-334. |
[ Ji H X, Fan X W, Wu G P, et al. Accuracy comparison and analysis of methods for water area extraction of discrete lakes[J]. lake Science, 2015,27(2):327-334. ] | |
[36] | 王大钊, 王思梦, 黄昌. Sentinel-2和Landsat8影像的四种常用水体指数地表水体提取对比[J]. 国土资源遥感, 2019,31(3):157-165. |
[ Wang D Z, Wang S M, Huang C. Sentinel-2 and Landsat8 images of four commonly used water index surface water extraction comparison[J]. Remote Sensing for Land and Resources, 2019,31(3):157-165.] | |
[37] |
冯珊珊, 樊风雷. Landsat/OLI与夜间灯光数据在提取城市不透水面中的精度差异分析[J]. 地球信息科学学报, 2019,21(10):1608-1618.
doi: 10.12082/dqxxkx.2019.190102 |
[ Feng S S, Fan F L. Accuracy comparison between Landsat/OLI and nighttime light data in extracting urban impervious surface[J]. Journal of Geo-Information Science, 2019,21(10):1608-1618.] | |
[38] |
李健锋, 叶虎平, 张宗科, 等. 基于Landsat影像的斯里兰卡内陆湖库水体时空变化分析[J]. 地球信息科学学报, 2019,21(5):781-788.
doi: 10.12082/dqxxkx.2019.180643. |
[ Li J F, Ye H P, Zhang Z K, et al. Spatiotemporal change analysis of water bodies in Sri Lanka's inland lakes and reservoirs based on Landsat images[J]. Journal of Geo-information Science, 2019,21(5):781-788. ] | |
[39] | 李丹, 吴保生, 陈博伟, 等. 基于卫星遥感的水体信息提取研究进展与展望[J]. 清华大学学报(自然科学版), 2020,60(2):147-161. |
[ Li D, Wu B S, Chen B W, et al. Review of water body information extraction based on satellite remote sensing[J]. Journal of Tsinghua University (Natural Science Edition), 2020,60(2):147-161. ] | |
[40] | 龚文峰, 周莹, 李恒, 等. 基于RS和GIS的磨盘山水库面积提取方法研究[J]. 水利科学与寒区工程, 2018,1(12):37-41. |
[ Gong W F, Zhou Y, Li H, et al. Study on the extraction methods of reservoir surface area of Mopanshan reservoir based on RS and GIS[J]. Water Science and Cold Area Engineering, 2018,1(12):37-41. ] | |
[41] | 肖茜, 杨昆, 洪亮. 基于多源数据的云贵高原湖泊水体提取方法对比研究[J]. 云南师范大学学报(自然科学版), 2018,38(2):73-78. |
[ Xiao Q, Yang K, Hong L. Comparative study of extraction methods of lake water in Yunnan-Guizhou plateau based on multi-source images[J]. Journal of Yunan Normal University (Natural Sciences Edition), 2018,38(2):73-78. ] | |
[42] | 徐蓉, 张增祥, 赵春哲. 湖泊水体遥感提取方法比较研究[J]. 遥感信息, 2015,30(1):111-118. |
[ Xu R, Zhang Z X, Zhao C Z. Different models used in extraction of lake water body based on MODIS data[J]. Remote Sensing Information, 2015,30(1):111-118.] | |
[43] |
Acharya D T, Subedi A, Lee H D. Evaluation of water indices for surface water extraction in a Landsat 8 scene of nepal[J]. Sensors, 2018,18(8):2580-2595.
doi: 10.3390/s18082580 |
[44] | 张文, 崔长露, 李林宜, 等. 基于长时间序列遥感数据的鄱阳湖水面面积监测分析[J]. 水文, 2019,39(3):29-35,21. |
[ Zhang W, Cui C, Li L Y, et al. Monitoring and analysis of Poyang lake water area based on long time series remote sensing data[J]. Hydrology, 2019,39(3):29-35,21. ] | |
[45] | 郭文忠, 陈晓华, 刘耿耿, 等. 基于混合离散粒子群优化的轨道分配算法[J]. 模式识别与人工智能, 2019,32(8):758-770. |
[ Guo W Z, Chen X H, Liu G G, et al. Orbital assignment algorithm based on hybrid discrete particle swarm optimization[J]. Pattern Recognition and Artificial Intelligence, 2019,32(8):758-770. ] | |
[46] | 赵娟娟, 谈树成, 杨林. 不同辐射校正水平下植被指数特征对比分析[J]. 云南地理环境研究, 2017,29(6):1-8,79. |
[ Zhao J J, Tan S C, Yang L. Comparative analysis of NDVI under different radiometric correction levels[J]. Yunnan Geographical Environment Research, 2017,29(6):1-8,79. ] | |
[47] | 杨磊, 潘志强, 傅俏燕, 等. 资源三号卫星多光谱数据的大气校正研究[J]. 光谱学与光谱分析, 2013,33(7):1903-1907. |
[ Yang L, Pan Z Q, Fu Q Y, et al. Research on the atmospheric correction for ZY-3 MUX image[J]. Spectroscopy and Spectral Analysis, 2013,33(7):1903-1907. ] |
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