地球信息科学学报 ›› 2021, Vol. 23 ›› Issue (1): 16-28.doi: 10.12082/dqxxkx.2021.200632
收稿日期:
2020-10-22
修回日期:
2020-12-09
出版日期:
2021-01-25
发布日期:
2021-03-25
通讯作者:
杨晓梅
作者简介:
王志华(1988— ),男,河南信阳人,副研究员,主要从遥感地学分析研究。E-mail: 基金资助:
WANG Zhihua1,2(), YANG Xiaomei1,2,*(
), ZHOU Chenghu1,2
Received:
2020-10-22
Revised:
2020-12-09
Online:
2021-01-25
Published:
2021-03-25
Contact:
YANG Xiaomei
Supported by:
摘要:
由于地球表面的时空异质性与复杂性,传统从遥感影像具有的信息特征出发,构建智能解译算法解决遥感地学认知的思路在应对面向全球的海量遥感大数据分析时,其精度和地学实用性已触及瓶颈。为此,本文从地学知识为核心的角度出发,结合当前知识图谱理论的发展,提出一种新的面向遥感大数据分析的地学思维构想——地学知识图谱。本构想将地学知识的概念进行重构,依次划分为数据性知识、概念性知识和规律性知识3个层次,并分别利用图模型的节点和边进行统一化表达和关联,打通不同层次地学知识间的反馈迭代与更新,在此基础上赋予地学知识图谱分析遥感大数据分析时知识的查询检索、知识推理、动态校正、拓展更新等功能。其中,如何构建具有多尺度、高维度特征的地理实体以及大体量、异质性的知识层级间的关联推理是地学知识图谱构想实现的关键难点。得益于知识的分层次和图模型结构的统一化表达,提出的地学知识图谱构想在促进遥感大数据时代背景下的地学知识精准化,提升遥感大数据解译精度和地学实用性,深化地学规律认知等方面应该具有广阔的前景。
王志华, 杨晓梅, 周成虎. 面向遥感大数据的地学知识图谱构想[J]. 地球信息科学学报, 2021, 23(1): 16-28.DOI:10.12082/dqxxkx.2021.200632
WANG Zhihua, YANG Xiaomei, ZHOU Chenghu. Geographic Knowledge Graph for Remote Sensing Big Data[J]. Journal of Geo-information Science, 2021, 23(1): 16-28.DOI:10.12082/dqxxkx.2021.200632
[1] |
李德仁, 张良培, 夏桂松 . 遥感大数据自动分析与数据挖掘[J]. 测绘学报, 2014,43(12):1211-1216.
doi: 10.13485/j.cnki.11-2089.2014.0187 |
[ Li D R, Zhang L P, Xia G S . Automatic analysis and mining of remote sensing big data[J]. Acta Geodaetica et Cartographica Sinica, 2014,43(12):1211-1216. ] | |
[2] |
郭华东, 王力哲, 陈方 , 等. 科学大数据与数字地球[J]. 科学通报, 2014,59(12):1047-1054.
doi: 10.1360/972013-1054 |
[ Guo H D, Wang L Z, Chen F , et al. Scientific big data and digital earth[J]. Chinese Science Bulletin, 2014,59(12):1047-1054. ] | |
[3] |
Jordan M. I., Mitchell T. M., . Machine learning: Trends, perspectives, and prospects[J]. Science, 2015,349(6245):255-260.
doi: 10.1126/science.aaa8415 pmid: 26185243 |
[4] |
Lake B M, Salakhutdinov R, Tenenbaum J B . Human-level concept learning through probabilistic program induction[J]. Science, 2015,350(6266):1332-1338.
doi: 10.1126/science.aab3050 pmid: 26659050 |
[5] |
Silver D, Schrittwieser J, Simonyan K , et al. Mastering the game of Go without human knowledge[J]. Nature, 2017,550(7676):354-359.
doi: 10.1038/nature24270 pmid: 29052630 |
[6] |
Silver D, Huang A, Maddison C J ., et al. Mastering the game of Go with deep neural networks and tree search[J]. Nature, 2016,529(7587):484-489.
doi: 10.1038/nature16961 pmid: 26819042 |
[7] |
Lary D J, Alavi A H, Gandomi A H , et al. Machine learning in geosciences and remote sensing[J]. Geoscience Frontiers, 2016,7(1):3-10.
doi: 10.1016/j.gsf.2015.07.003 |
[8] |
Jean N, Burke M, Xie M . Combining satellite imagery and machine learning to predict poverty[J]. Science, 2016,353(6301):790-794.
doi: 10.1126/science.aaf7894 pmid: 27540167 |
[9] | Baez-Villanueva O M, Zambrano-Bigiarini M, Beck H , et al. RF-MEP: A novel Random Forest method for merging gridded precipitation products and ground-based measurements[J]. Remote Sensing of Environment, 2020,239(111606):1-19. |
[10] | Zhang L P, Zhang L F, Du B . Deep learning for remote sensing data: A technical tutorial on the state of the art[J]. IEEE Geoscience & Remote Sensing Magazine, 2016,4(2):22-40. |
[11] | Yuan Q Q, Shen H F, Li T W , et al. Deep learning in environmental remote sensing: Achievements and challenges[J]. Remote Sensing of Environment, 2020,241(111716). |
[12] | Goodfellow I, Bengio Y, Courville A. Deep learning[M]. Cambridge: The MIT Press, 2016. |
[13] | 周成虎, 骆剑承 . 高分辨率卫星遥感影像地学计算[M]. 北京: 科学出版社, 2008. |
[ Zhou C H, Luo J C. Geographic computing of high spatial resolution satellite images[M]. Beijing: Science Press, 2008. ] | |
[14] | 宫鹏 . 对遥感科学应用的一点看法[J]. 遥感学报, 2019,23(4):567-569. |
[ Gong P . Towards more extensive and deeper application of remote sensing[J]. Journal of Remote Sensing, 2019,23(4):567-569. ] | |
[15] |
Blaschke T . Object based image analysis for remote sensing[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2010,65(1):2-16.
doi: 10.1016/j.isprsjprs.2009.06.004 |
[16] |
Blaschke T, Hay G J, Kelly M , et al. Geographic object-based image analysis-towards a new paradigm[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014,87:180-191.
doi: 10.1016/j.isprsjprs.2013.09.014 |
[17] |
Zhu A X, Band L E . A knowledge-based approach to data integration for soil mapping[J]. Canadian Journal of Remote Sensing, 1994,20(4):408-418.
doi: 10.1080/07038992.1994.10874583 |
[18] | 阎守邕 . 遥感影像群判读理论与方法[M]. 北京: 海洋出版社, 2007. |
[ Yan S Y. Interpretation theories and methods of cluster remote sensing images[M]. Beijing: China Ocean Press, 2007. ] | |
[19] |
Yao Y H, Suonan D Z, Zhang J Y . Compilation of 1: 50 000 vegetation type map with remote sensing images based on mountain altitudinal belts of Taibai Mountain in the North-South transitional zone of China[J]. Journal of Geographical Sciences, 2020,30(2):267-280.
doi: 10.1007/s11442-020-1727-6 |
[20] |
Rahbek C, Borregaard M K, Colwell R K , et al. Humboldt's enigma: What causes global patterns of mountain biodiversity?[J]. Science, 2019,365(6458):1108-1113.
doi: 10.1126/science.aax0149 pmid: 31515383 |
[21] |
Fattorini S, Di B L, Chiarucci A . Recognizing and interpreting vegetational belts: New wine in the old bottles of a von Humboldt's legacy[J]. Journal of Biogeography, 2019,46(8):1643-1651.
doi: 10.1111/jbi.2019.46.issue-8 |
[22] |
张百平, 周成虎, 陈述彭 . 中国山地垂直带信息图谱的探讨[J]. 地理学报, 2003,58(2):163-171.
doi: 10.11821/xb200302001 |
[ Zhang B P, Zhou C H, Chen S P . The Geo-info-spectrum of Montane Altitudinal Belts in China[J]. Acta Geographica Sinica, 2003,58(2):163-171. ] | |
[23] |
Gorelick N, Hancher M, Dixon M , et al. Google Earth Engine: Planetary-scale geospatial analysis for everyone[J]. Remote Sensing of Environment, 2017,202:18-27.
doi: 10.1016/j.rse.2017.06.031 |
[24] | Esch T, Thiel M, Schenk A , et al. Delineation of urban footprints from TerraSAR-X data by analyzing speckle characteristics and intensity information[J]. IEEE Transactions on Geoscience & Remote Sensing, 2010,48(2):905-916. |
[25] | 陈军, 陈晋, 廖安平 , 等. 全球30 m地表覆盖遥感制图的总体技术[J]. 测绘学报, 2014,43(6):551-557. |
[ Chen J, Chen J, Liao A P , et al. Concepts and key techniques for 30 m global land cover mapping[J]. Acta Geodetica et Cartographica Sinica, 2014,43(6):551-557. ] | |
[26] |
Pekel J F, Cottam A, Gorelick N , et al. High-resolution mapping of global surface water and its long-term changes[J]. Nature, 2016,540(7633):418-422.
doi: 10.1038/nature20584 pmid: 27926733 |
[27] | 杨晓梅 . 遥感影像的地学理解与分析[D]. 北京:中国科学院地理研究所, 1999. |
[ Yang X M . Geo-Understanding and analysis of remote sensing images[D]. Beijing: Institute of Geography, Chinese Academy of Sciences, 1999. ] | |
[28] | 陈述彭, 赵英时 . 遥感地学分析[M]. 北京: 测绘出版社, 1990. |
[ Chen S P, Zhao Y S. Geographic analysis of remote sensing[M]. Beijing: Surveying and Mapping Press, 1990. ] | |
[29] | Goodenough D G, Goldberg M, Plunkett G , et al. An expert system for remote-sensing[J]. IEEE Transactions on Geoscience & Remote Sensing, 1987,25(3):349-359. |
[30] | Matsuyama T . Knowledge-based aerial image understanding systems and expert systems for image-processing[J]. IEEE Transactions on Geoence & Remote Sensing, 1987,25(3):305-316. |
[31] | Nicolin B, Gabler R . A knowledge-based system for the analysis of aerial images[J]. IEEE Transactions on Geoence & Remote Sensing, 1987,25(3):317-329. |
[32] |
Wang Z H, Yang X M, LU C , et al. A scale self-adapting segmentation approach and knowledge transfer for automatically updating land use/cover change databases using high spatial resolution images[J]. International Journal of Applied Earth Observation and Geoinformation, 2018,69:88-98.
doi: 10.1016/j.jag.2018.03.001 |
[33] |
Wu T J, Luo J C, Xia L G , et al. Prior knowledge-based automatic object-oriented hierarchical classification for updating detailed land cover maps[J]. Journal of the Indian Society of Remote Sensing, 2015,43(4):653-669.
doi: 10.1007/s12524-014-0446-9 |
[34] |
吴田军, 骆剑承, 夏列钢 , 等. 迁移学习支持下的遥感影像对象级分类样本自动选择方法[J]. 测绘学报, 2014,43(9):908-916.
doi: 10.13485/j.cnki.11-2089.2014.0163 |
[ Wu T J, Luo J C, Xia LG , et al. An automatic sample collection method for object-oriented classification of remotely sensed imageries based on transfer learning[J]. Acta Geodetica et Cartographica Sinica, 2014,43(9):908-916. ] | |
[35] | 陈述彭, 岳天祥, 励惠国 . 地学信息图谱研究及其应用[J]. 地理研究, 2000,19(4):337-343. |
[ Chen S P, Yue T X, Li H G . Studies on geo-informatic Tupu and its application[J]. Geographical research, 2000,19(4):337-343. ] | |
[36] | 张洪岩, 秦承志, 周成虎 , 等. 试论地学信息图谱思想的内涵与传承[J]. 地球信息科学学报, 2020,22(4):653-661. |
[ Zhang H Y, Zhou C H, Lv G N , et al. The connotation and inheritance of Geo-information Tupu[J]. Journal of Geo-information Science, 2020,22(4):653-661. ] | |
[37] | 廖克 . 地学信息图谱的探讨与展望[J]. 地球信息科学学报, 2002,4(1):14-20. |
[ Liao K . The discussion and prospect for geo-informatic Tupu[J]. Journal of Geo-information Science, 2002,4(1):14-20. ] | |
[38] | 齐清文 . 地学信息图谱的最新进展[J]. 测绘科学, 2004,28(6):15-23. |
[ Qi Q W . The latest development on Geo Info Tupu[J]. Science of Surveying and Mapping, 2004,28(6):15-23. ] | |
[39] | 张荣群 . 地学信息图谱研究进展[J]. 测绘科学, 2009,34(1):14-16,24. |
[ Zhang R Q . Approaches of research on geo-information Tupu[J]. Science of Surveying and Mapping, 2009,34(1):14-16,24. ] | |
[40] |
骆剑承, 吴田军, 夏列钢 . 遥感图谱认知理论与计算[J]. 地球信息科学学报, 2016,18(5):578-589.
doi: 10.3724/SP.J.1047.2016.00578 |
[ Luo J C, Wu T J, Xia L G . The theory and calculation of spatial-spectral cognition of remote sensing[J]. Journal of Geo- information Science, 2016,18(5):578-589. ] | |
[41] | Eder J S . Knowledge graph based search system: U S, US20120158633A1[P/OL]. 2012-6-21 |
[42] | Hogan A, Blomqvist E, Cochez M , et al. Knowledge graphs[J]. arXiv preprint arXiv: 2003. 02320, 2020. |
[43] | 马忠贵, 倪润宇, 余开航 . 知识图谱的最新进展、关键技术和挑战[J]. 工程科学学报, 2020. DOI: 10.13374/j.issn2095-9389.2020.02.28.001 |
[ Ma Z G, Ni R Y, Yu K H . Recent advances, key techniques and future challenges of knowledge graph[J]. 2020] DOI 10.13374/j.issn2095-9389.2020.02.28.001 | |
[44] |
陆锋, 余丽, 仇培元 . 论地理知识图谱[J]. 地球信息科学学报, 2017,19(6):723-734.
doi: 10.3724/SP.J.1047.2017.00723 |
[ Lu F, Yu L, Qiu P Y . On geographic knowledge graph. Journal of Geo-information Science, 2017,19(6):723-734. ] | |
[45] | 蒋秉川, 万刚, 许剑 , 等. 多源异构数据的大规模地理知识图谱构建[J]. 测绘学报, 2018,47(8):1051-1061. |
[ Jiang B C, Wan G, Xu J , et al. Geographic knowledge graph building extracted from multi-sourced heterogeneous[J]. Acta Geodaetica et Cartographica Sinica, 2018,47(8):1051-1061. ] | |
[46] | 刘俊楠, 刘海砚, 陈晓慧 , 等. 面向多源地理空间数据的知识图谱构建[J]. 地球信息科学学报, 2020,22(7):1476-1486. |
[ Liu J N, Liu H Y, Chen X H , et al. The Construction of knowledge graph towards multi-source geospatial data[J]. Journal of Geo-information Science, 2020,22(7):1476-1486. ] | |
[47] | 许珺, 裴韬, 姚永慧 . 地学知识图谱的定义,内涵和表达方式的探讨[J]. 地球信息科学学报, 2010,12(4):496-502,509. |
[ Xu J, Pei T, Yao Y H . Conceptual framework and representation of geographic knowledge map[J]. Journal of Geo-information Science, 2010,12(4):496-502,509. ] | |
[48] | 中华人民共和国国土资源部. GB/T 21010-2017·土地利用现状分类[S], 2017. |
[ Ministry of Land and Resources, PRC. GB/T 21010-2017·Current Land Use Classification[S]. ] | |
[49] | 闾国年, 俞肇元, 周良辰 , 等. 地理实体分类与编码体系的构建[J]. 现代测绘, 2019,42(1):1-6. |
[ Lv G N, Yu Z Y, Zhou L C , et al. Construction of geographical entity classification and coding system[J]. Modern Surveying and Mapping, 2019,42(1):1-6. ] | |
[50] | Ren C Y, Wang Z M, Zhang Y Z , et al. Rapid expansion of coastal aquaculture ponds in China from Landsat observations during 1984-2016[J]. International Journal of Applied Earth Observation and Geoinformation, 2019,82:1-12. |
[1] | 施海霞, 韦玉春, 徐晗泽宇, 周爽, 程琪. 高分遥感图像相对辐射校正中的伪不变地物自动提取和优化选择[J]. 地球信息科学学报, 2021, 23(5): 903-917. |
[2] | 刘俊楠, 刘海砚, 陈晓慧, 郭漩, 郭文月, 朱新铭, 赵清波. 面向多源地理空间数据的知识图谱构建[J]. 地球信息科学学报, 2020, 22(7): 1476-1486. |
[3] | 黄娟, 陈崇成, 叶晓燕, 马腾. “民国清流”名人文化主题数据的组织和可视化方法[J]. 地球信息科学学报, 2020, 22(5): 954-966. |
[4] | 张洪岩, 周成虎, 闾国年, 吴志峰, 陆锋, 王劲峰, 岳天祥, 骆剑承, 葛咏, 秦承志. 试论地学信息图谱思想的内涵与传承[J]. 地球信息科学学报, 2020, 22(4): 653-661. |
[5] | 杨存建. 地学信息图谱思想与实践探索[J]. 地球信息科学学报, 2020, 22(4): 697-704. |
[6] | 聂拼, 梁明, 李玉洁, 游欣妍, 孙晓娟. 基于最邻近时空距离的土地变化过程时空模式分析[J]. 地球信息科学学报, 2020, 22(3): 628-637. |
[7] | 高嘉良,余丽,仇培元,陆锋. 基于通用知识库的地理实体开放关系过滤方法[J]. 地球信息科学学报, 2019, 21(9): 1392-1401. |
[8] | 刘菊, 陈璨, 许珺. 基于众包的古琴名人时空信息采集与移动轨迹时空分析[J]. 地球信息科学学报, 2019, 21(6): 844-853. |
[9] | 侯志伟, 诸云强, 高楹, 宋佳, 秦承志. 地质年代本体及其在语义检索中的应用[J]. 地球信息科学学报, 2018, 20(1): 17-27. |
[10] | 陆锋, 余丽, 仇培元. 论地理知识图谱[J]. 地球信息科学学报, 2017, 19(6): 723-734. |
[11] | 叶钰, 秦建新, 胡顺石. 长沙市热岛效应时空特征变化研究[J]. 地球信息科学学报, 2017, 19(4): 518-527. |
[12] | 程熙, 吴炜, 夏列钢, 罗瑞, 沈占锋. 集成夜间灯光数据与Landsat TM影像的不透水面自动提取方法研究[J]. 地球信息科学学报, 2017, 19(10): 1364-1374. |
[13] | 杜国明, 刘美, 孟凡浩, 匡文慧, 春香, 冯悦. 基于地学知识的大尺度土地利用/土地覆盖精细化分类方法研究[J]. 地球信息科学学报, 2017, 19(1): 91-100. |
[14] | 周亚男, 赵威, 范亚男. 遥感大数据实时渲染与交互可视化研究[J]. 地球信息科学学报, 2016, 18(5): 664-672. |
[15] | 胡晓东, 张新, 屈靖生. 大数据架构的遥感资源存储管理方法[J]. 地球信息科学学报, 2016, 18(5): 681-689. |
|