Please wait a minute...
 首页  期刊介绍 期刊订阅 联系我们 横山亮次奖 百年刊庆
 
最新录用  |  预出版  |  当期目录  |  过刊浏览  |  阅读排行  |  下载排行  |  引用排行  |  横山亮次奖  |  百年刊庆
清华大学学报(自然科学版)  2020, Vol. 60 Issue (2): 147-161    DOI: 10.16511/j.cnki.qhdxxb.2019.22.038
  水利水电工程 本期目录 | 过刊浏览 | 高级检索 |
基于卫星遥感的水体信息提取研究进展与展望
李丹1, 吴保生1, 陈博伟2, 薛源1, 张翼1
1. 清华大学 水沙科学与水利水电工程国家重点实验室, 北京 100084;
2. 中国科学院 遥感与数字地球研究所, 数字地球重点实验室, 北京 100094
Review of water body information extraction based on satellite remote sensing
LI Dan1, WU Baosheng1, CHEN Bowei2, XUE Yuan1, ZHANG Yi1
1. State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China;
2. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth(RADI), Chinese Academy of Sciences, Beijing 100094, China
全文: PDF(2003 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 水体时空分布特征对于水资源监测与应用具有重要意义,而包括水体分布在内的地物覆盖类型分类和变化分析是遥感技术最常见的应用。对大区域的水体参数提取,尤其是高山无人区的水体的定量分析,利用卫星遥感数据进行水体位置、面积、形状和河宽等水体参数提取,不仅节省人力、保障安全,还提高了工作效率,已经成为一种快速获取水体参数的有效方法和手段。该文从4个方面对卫星遥感在水体信息提取上的应用现状进行综述:水体在电磁波波谱各波谱段的反射特性;1980年以来国内外基于雷达和光学遥感数据提取水体信息的研究状况和具体应用方向;各种水体信息提取方法的工作原理和优缺点;应用卫星遥感技术提取水体信息面临的挑战和尚待解决的关键问题,利用遥感技术提取水体遥感信息的发展趋势展望。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
李丹
吴保生
陈博伟
薛源
张翼
关键词 水资源监测水体时空分布卫星遥感定量分析水体参数提取    
Abstract:The spatial and temporal distributions of water bodies are of great significance for monitoring the use of water resources. The most common remote sensing applications are classifying the surface cover types and analyzing changes in the spatial distributions of these water resources. In recent years, satellite remote sensing data has been used to extract key features such as the location, area, morphology and river width especially for large water bodies or for those in inaccessible regions in high mountains. This not only saves manpower and promotes safety, but also improves work efficiency. This study analyzes methods for using satellite remote sensing data for water body information extraction with reviews of the reflection characteristics of water bodies in various spectral regions of the electromagnetic spectrum; water extraction methods based on radar and optical remote sensing data at home and abroad since 1980; the working principles, advantages and disadvantages of various water information extraction methods; and some challenges of water information extraction applying remote sensing and the key issues to solve these problems. Finally, this paper forecasts future applications of remote sensing for water body information extraction.
Key wordswater resources monitoring    spatial and temporal distributions of water bodies    satellite remote sensing    quantitative analyses    water body parameter extraction
收稿日期: 2019-05-22      出版日期: 2020-01-15
基金资助:吴保生,教授,E-mail:baosheng@tsinghua.edu.cn
引用本文:   
李丹, 吴保生, 陈博伟, 薛源, 张翼. 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 Dan, WU Baosheng, CHEN Bowei, XUE Yuan, ZHANG Yi. Review of water body information extraction based on satellite remote sensing. Journal of Tsinghua University(Science and Technology), 2020, 60(2): 147-161.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2019.22.038  或          http://jst.tsinghuajournals.com/CN/Y2020/V60/I2/147
  表1 论文数量≥100篇的国家的论文数量和中心节点重要度
  表2 水体信息提取方法的细类划分
  表3 几种常用的水体指数及其模型
  图1 典型地物的光谱特征曲线[10]
  图2 全球研究所和高校论文产量(≥20篇)和中心节点重要度
  图3 期刊被引用次数(≥200)和中心节点重要度
[1] KIRCHNER K, KOLÁŘ J, PLACHÝ S. Satellite detection of water surfaces in Northwestern Bohemia[J]. Soviet Journal of Remote Sensing, 1986, 5(1):63-68.
[2] JUPP D L B, KIRK J T O, HARRIS G P. Detection, identification and mapping of cyanobacteria:Using remote sensing to measure the optical quality of turbid inland waters[J]. Australian Journal of Marine and Freshwater Research, 1994, 45(5):801-828.
[3] ZHOU H P, HONG J, XIAO Z Y, et al. Water quality assessment and change detection in urban wetland using high spatial resolution satellite imagery[C]//Proceedings Volume 6752, Geoinformatics 2007:Remotely Sensed Data and Information. Nanjing, China, 2007.
[4] DANDAWATE Y H, KINLEKAR S. Rivers and coastlines detection in multispectral satellite images using level set method and modified Chan Vese algorithm[C]//Proceedings of the 2nd International Conference on Advanced Computing, Networking and Security. Mangalore, India, 2013:41-46.
[5] ALMAAZMI A. Water bodies extraction from high resolution satellite images using water indices and optimal threshold[C]//Proceedings Volume 10004, Image and Signal Processing for Remote Sensing XXII. Edinburgh, UK, 2016, 10004:100041J.
[6] CHEN Y, FAN R S, YANG X C, et al. Extraction of urban water bodies from high-resolution remote-sensing imagery using deep learning[J]. Water, 2018, 10(5):585.
[7] 何智勇, 章孝灿, 黄智才, 等. 一种高分辨率遥感影像水体提取技术[J]. 浙江大学学报(理学版), 2004, 31(6):701-707. HE Z Y, ZHANG X C, HUANG Z C, et al. A water extraction technique based on high-spatial remote sensing images[J]. Journal of Zhejiang University (Science Edition), 2004, 31(6):701-707. (in Chinese)
[8] 都金康, 黄永胜, 冯学智, 等. SPOT卫星影像的水体提取方法及分类研究[J]. 遥感学报, 2001, 5(3):214-219. DU J K, HUANG Y S, FENG X Z, et al. Study on water bodies extraction and classification from SPOT image[J]. Journal of Remote Sensing, 2001, 5(3):214-219. (in Chinese)
[9] 闵文彬. 长江上游MODIS影像的水体自动提取方法[J]. 高原气象, 2004, 23(S1):141-145. MIN W B. A method to identify water-body from MODIS image data in upper reach of Changjiang river[J]. Plateau Meteorology, 2004, 23(S1):141-145. (in Chinese)
[10] 童庆禧. 中国典型地物波谱及其特征分析[M]. 北京:科学出版社, 1990. TONG Q X. Spectrum and characteristics analysis of typical features in China[M]. Beijing, China:Science Press, 1990. (in Chinese)
[11] 梅安新, 彭望琭, 秦其明, 等. 遥感导论[M]. 北京:高等教育出版社, 2001. MEI A X, PENG W L, QIN Q M, et al. An introduction to remote sensing[M]. Beijing, China:Higher Education Press, 2001. (in Chinese)
[12] 李小文, 汪骏发, 王锦地, 等. 多角度与热红外对地遥感[M]. 北京:科学出版社, 2001. LI X W, WANG J F, WANG J D, et al. Multi-angle and thermal infrared remote sensing[M]. Beijing, China:Science Press, 2001. (in Chinese)
[13] 马延辉, 林辉, 孙华, 等. 基于CIWI模型的水体信息提取研究[J]. 中国水土保持, 2009(5):41-43. MA Y H, LIN H, SUN H, et al. Water information extraction of CIWI model[J]. Soil and Water Conservation in China, 2009(5):41-43. (in Chinese)
[14] 谭衢霖, 刘正军, 胡吉平, 等. 应用多源遥感影像提取鄱阳湖形态参数[J]. 北京交通大学学报, 2006, 30(4):26-30. TAN Q L, LIU Z J, HU J P, et al. Measuring lake water level using multi-source remote sensing images combined with hydrological statistical data[J]. Journal of Beijing Jiaotong University, 2006, 30(4):26-30. (in Chinese)
[15] 段秋亚, 孟令奎, 樊志伟, 等. GF-1卫星影像水体信息提取方法的适用性研究[J]. 国土资源遥感, 2015, 27(4):79-84. DUAN Q Y, MENG L K, FAN Z W, et al. Applicability of the water information extraction method based on GF-1 image[J]. Remote Sensing for Land & Resources, 2015, 27(4):79-84. (in Chinese)
[16] DELMEIRE S. Use of ERS-1 data for the extraction of flooded areas[J]. Hydrological Processes, 1997, 11(10):1393-1396.
[17] KUSSUL N, SHELESTOV A, SKAKUN S. Grid system for flood extent extraction from satellite images[J]. Earth Science Informatics, 2008, 1(3-4):105-117.
[18] GIUSTARINI L, HOSTACHE R, MATGEN P, et al. A change detection approach to flood mapping in urban areas using TerraSAR-X[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(4):2417-2430.
[19] RAHMAN M R, THAKUR P K. Detecting, mapping and analysing of flood water propagation using synthetic aperture radar (SAR) satellite data and GIS:A case study from the Kendrapara district of Orissa State of India[J]. The Egyptian Journal of Remote Sensing and Space Science, 2018, 21(S1):S37-S41.
[20] FENG J, CHEN L, WEI H, et al. A novel algorithm of water region detection in SAR image based on bag of visual words and local pattern histogram[J]. Chinese Journal of Electronics, 2016, 25(5):974-979.
[21] HAN B, WU Y Q. River extraction of SAR images via active contours driven by adaptive global fitting energies[J]. International Journal of Remote Sensing, 2018, 39(20):6995-7013.
[22] HENDERSON F M. Environmental factors and the detection of open surface water areas with X-band radar imagery[J]. International Journal of Remote Sensing, 1995, 16(13):2423-2437.
[23] 胡德勇, 李京, 陈云浩, 等. 单波段单极化SAR图像水体和居民地信息提取方法研究[J]. 中国图象图形学报, 2008, 13(2):257-263. HU D Y, LI J, CHEN Y H, et al. Water and settlement area extraction from single-band, single-polarization SAR images based on SVM method[J]. Journal of Image and Graphics, 2008, 13(2):257-263. (in Chinese)
[24] WANG D, ZHOU W F, FAN W, et al. Water objects extraction from polarimetric SAR imagery based on blind source separation and morphological reconstruction[C]//Proceedings of the 3rd International Congress on Image and Signal Processing. Yantai, China, 2010:1028-1032.
[25] HONG S, JANG H, KIM N, et al. Water area extraction using RADARSAT SAR imagery combined with Landsat imagery and terrain information[J]. Sensors, 2015, 15(3):6652-6667.
[26] CUTLER P J, SCHWARTZKOPF W C, KOEHLER F W. Robust automated thresholding of SAR imagery for open-water detection[C]//Proceedings of 2015 IEEE International Radar Conference. Arlington, USA, 2015:310-315.
[27] ZENG C Q, WANG J F, HUANG X D, et al. Urban water body detection from the combination of high-resolution optical and SAR images[C]//Proceedings of 2015 Joint Urban Remote Sensing Event. Lausanne, Switzerland, 2015.
[28] WON J S, KIM H Y, RYU J H. Coastal geomorphologic change detection using SAR and optical remote sensing data at the Nakdong River Estuary, Korea[C]//IEEE 1999 International Geoscience and Remote Sensing Symposium. Hamburg, Germany, 1999, 2735:2733-2735.
[29] GONG M G, JIA M, SU L Z, et al. Detecting changes of the Yellow River Estuary via SAR images based on a local fit-search model and kernel-induced graph cuts[J]. International Journal of Remote Sensing, 2014, 35(11-12):4009-4030.
[30] 陈升来, 李云茹, 李涛. 基于合成孔径雷达图像的河流检测方法研究[J]. 计算机测量与控制, 2009, 17(7):1267-1269. CHEN S L, LI Y R, LI T. Study on river detection based on SAR image[J]. Computer Measurement & Control, 2009, 17(7):1267-1269. (in Chinese)
[31] 张怀利, 倪国强, 许廷发, 等. 从SAR遥感图像中提取水域的一种双模式结合方法[J]. 光学技术, 2009, 35(1):77-79, 83. ZHANG H L, NI G Q, XU T F, et al. A two pattern combined method to detect water area from SAR remote image[J]. Optical Technique, 2009, 35(1):77-79, 83. (in Chinese)
[32] GAO F, MA F, WANG J, et al. Visual saliency modeling for river detection in high-resolution SAR imagery[J]. IEEE Access, 2018, 6:1000-1014.
[33] 刘建国. 陆地卫星MSS图像地表水域信息的机助识别提取[J]. 遥感学报, 1989, 4(1):19-28. LIU J G. A technique for computer aided recognition and extraction of surface water area information using MSS images[J]. Journal of Remote Sensing, 1989, 4(1):19-28. (in Chinese)
[34] GAO F, DE COLSTOUN E B, MA R H, et al. Mapping impervious surface expansion using medium-resolution satellite image time series:A case study in the Yangtze River Delta, China[J]. International Journal of Remote Sensing, 2012, 33(24):7609-7628.
[35] ALLEN G H, PAVELSKY T M. Global extent of rivers and streams[J]. Science, 2018, 361(6402):585-588.
[36] JAWAK S D, LUIS A J. A rapid extraction of water body features from Antarctic coastal oasis using very high-resolution satellite remote sensing data[J]. Aquatic Procedia, 2015, 4:125-132.
[37] 李艳华, 丁建丽, 闫人华. 基于国产GF-1遥感影像的山区细小水体提取方法研究[J]. 资源科学, 2015, 37(2):408-416. LI Y H, DING J L, YAN R H. Extraction of small river information based on China-made GF-1 remote sense images[J]. Resources Science, 2015, 37(2):408-416. (in Chinese)
[38] ZHAO L L, YU H J, ZHANG L J. Water body extraction in urban region from high resolution satellite imagery with near-infrared spectral analysis[C]//Proceedings Volume 7383, International Symposium on Photoelectronic Detection and Imaging 2009:Advances in Infrared Imaging and Applications. Beijing, China, 2009, 7383:73833I.
[39] DILLABAUGH C R, NIEMANN K O, RICHARDSON D E. Semi-automated extraction of rivers from digital imagery[J]. GeoInformatica, 2002, 6(3):263-284.
[40] YANG X C, CHEN L. Evaluation of automated urban surface water extraction from Sentinel-2A imagery using different water indices[J]. Journal of Applied Remote Sensing, 2017, 11(2):026016-2.
[41] KAPLAN G, AVDAN U. Object-based water body extraction model using Sentinel-2 satellite imagery[J]. European Journal of Remote Sensing, 2017, 50(1):137-143.
[42] WU G P, LIU Y B. Satellite-based detection of water surface variation in China's largest freshwater lake in response to hydro-climatic drought[J]. International Journal of Remote Sensing, 2014, 35(11-12):4544-4558.
[43] 周成虎, 杜云艳, 骆剑承. 基于知识的AVHRR影像的水体自动识别方法与模型研究[J]. 自然灾害学报, 1996, 5(3):100-108. ZHOU C H, DU Y Y, LUO J C. A description model based on knowledge for automatically recognizing water from NOAA/AVHRR[J]. Journal of Natural Disasters, 1996, 5(3):100-108. (in Chinese)
[44] 赵书河, 冯学智, 都金康. 中巴资源一号卫星水体信息提取方法研究[J]. 南京大学学报(自然科学版), 2003, 39(1):106-112. ZHAO S H, FENG X Z, DU J K. Methods of water information extraction of CBERS-1[J]. Journal of Nanjing University (Natural Sciences), 2003, 39(1):106-112. (in Chinese)
[45] LUDWIG C, WALLI A, SCHLEICHER C, et al. A highly automated algorithm for wetland detection using multi-temporal optical satellite data[J]. Remote Sensing of Environment, 2019, 224:333-351.
[46] NSUBUGA F W N, BOTAI J O, OLWOCH J M, et al. Detecting changes in surface water area of Lake Kyoga sub-basin using remotely sensed imagery in a changing climate[J]. Theoretical and Applied Climatology, 2017, 127(1-2):327-337.
[47] CUI X T, GUO X Y, WANG Y D, et al. Application of remote sensing to water environmental processes under a changing climate[J]. Journal of Hydrology, 2019, 574:892-902.
[48] VAN DIJK A I J M, BECK H E, CROSBIE R S, et al. The millennium drought in southeast Australia (2001-2009):Natural and human causes and implications for water resources, ecosystems, economy, and society[J]. Water Resources Research, 2013, 49(2):1040-1057.
[49] JIANG H, FENG M, ZHU Y Q, et al. An automated method for extracting rivers and lakes from Landsat imagery[J]. Remote Sensing, 2014, 6(6):5067-5089.
[50] GAO H, WANG L, JING L, et al. An effective modified water extraction method for Landsat-8 OLI imagery of mountainous plateau regions[J]. IOP Conference Series:Earth and Environmental Science, 2016, 34(1):012010.
[51] KAPLAN G, AVDAN U. Water extraction technique in mountainous areas from satellite images[J]. Journal of Applied Remote Sensing, 2017, 11(4):046002.
[52] YANG X C, QIN Q M, GRUSSENMEYER P, et al. Urban surface water body detection with suppressed built-up noise based on water indices from Sentinel-2 MSI imagery[J]. Remote Sensing of Environment, 2018, 219:259-270.
[53] MOHAMAD N, KHANAN M F A, MUSLIMAN I A, et al. Spatio-temporal analysis of river morphological changes and erosion detection using very high resolution satellite image[J]. IOP Conference Series:Earth and Environmental Science, 2018, 169(1):012020.
[54] CHEN Z Q, LUO J, CHEN N C, et al. RFim:A real-time inundation extent model for large floodplains based on remote sensing big data and water level observations[J]. Remote Sensing, 2019, 11(13):1585.
[55] PAPA F, PRIGENT C, AIRES F, et al. Interannual variability of surface water extent at the global scale, 1993-2004[J]. Journal of Geophysical Research:Atmospheres, 2010, 115(D12):D12111.
[56] 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.
[57] OTSU N. A threshold selection method from gray-level histograms[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1979, 9(1):62-66.
[58] 李景刚, 黄诗峰, 李纪人. ENVISAT卫星先进合成孔径雷达数据水体提取研究:改进的最大类间方差阈值法[J]. 自然灾害学报, 2010, 19(3):139-145. LI J G, HUANG S F, LI J R. Research on extraction of water body from ENVISAT ASAR images:A modified Otsu threshold method[J]. Journal of Natural Disasters, 2010, 19(3):139-145. (in Chinese)
[59] LEE J S, JURKEVICH I. Coastline detection and tracing in SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 1990, 28(4):662-668.
[60] DESCOMBES X, MOCTEZUMA M, MA AI^G TRE H, et al. Coastline detection by a Markovian segmentation on SAR images[J]. Signal Processing, 1996, 55(1):123-132.
[61] ZHU J J, GUO H D, FAN X T, et al. A wavelet transform method to detect boundaries between land and water in SAR image[C]//Proceedings of 2004 IEEE International Geoscience and Remote Sensing Symposium. Anchorage, USA, 2004:4262-4264.
[62] 窦建方, 陈鹰, 翁玉坤. 基于序列非线性滤波SAR影像水体自动提取[J]. 海洋测绘, 2008, 28(4):69-72. DOU J F, CHEN Y, WENG Y K. Automatic water body extraction from SAR images based on sequence non-linear filter[J]. Hydrographic Surveying and Charting, 2008, 28(4):69-72. (in Chinese)
[63] KLEMENJAK S, WASKE B, VALERO S, et al. Automatic detection of rivers in high-resolution SAR data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2012, 5(5):1364-1372.
[64] LV W T, YU Q Z, YU W X. Water extraction in SAR images using GLCM and support vector machine[C]//10th International Conference on Signal Processing. Beijing, China, 2010:740-743.
[65] 董斯扬, 薛娴, 尤全刚, 等. 近40年青藏高原湖泊面积变化遥感分析[J]. 湖泊科学, 2014, 26(4):535-544. DONG S Y, XUE X, YOU Q G, et al. Remote sensing monitoring of the lake area changes in the Qinghai-Tibet Plateau in recent 40 years[J]. Journal of Lake Sciences, 2014, 26(4):535-544. (in Chinese)
[66] 陆家驹, 李士鸿. TM资料水体识别技术的改进[J]. 环境遥感, 1992, 7(1):17-23. LU J J, LI S H. Improvement of the techniques for distinguishing water bodies from TM data[J]. Remote Sensing of Environment China, 1992, 7(1):17-23. (in Chinese)
[67] ROKNI K, AHMAD A, SELAMAT A, et al. Water feature extraction and change detection using multitemporal Landsat imagery[J]. Remote Sensing, 2014, 6(5):4173-4189.
[68] SONG Y, WU Y Q, DAI Y M. Automatic river target detection from remote sensing images based on image decomposition and distance regularized CV model[J]. Computers & Electrical Engineering, 2016, 54:285-295.
[69] 王航, 秦奋. 遥感影像水体提取研究综述[J]. 测绘科学, 2018, 43(5):23-32. WANG H, QIN F. Summary of the research on water body extraction and application from remote sensing image[J]. Science of Surveying and Mapping, 2018, 43(5):23-32. (in Chinese)
[70] 陈文倩, 丁建丽, 李艳华, 等. 基于国产GF-1遥感影像的水体提取方法[J]. 资源科学, 2015, 37(6):1166-1172. CHEN W Q, DING J L, LI Y H, et al. Extraction of water information based on China-made GF-1 remote sense image[J]. Resources Science, 2015, 37(6):1166-1172. (in Chinese)
[71] 毕海芸, 王思远, 曾江源, 等. 基于TM影像的几种常用水体提取方法的比较和分析[J]. 遥感信息, 2012, 27(5):77-82. BI H Y, WANG S Y, ZENG J Y, et al. Comparison and analysis of several common water extraction methods based on TM image[J]. Remote Sensing Information, 2012, 27(5):77-82. (in Chinese)
[72] FRAZIER P S, PAGE K J. Water body detection and delineation with Landsat TM data[J]. Photogrammetric Engineering & Remote Sensing, 2000, 66(12):1461-1467.
[73] 周成虎, 骆剑承, 杨晓梅. 遥感影像地学理解与分析[M]. 北京:科学出版社, 1999. ZHOU C H, LUO J C, YANG X M. Geological understanding and analysis of remote sensing images[M]. Beijing, China:Science Press, 1999. (in Chinese)
[74] 汪金花, 张永彬, 孔改红. 谱间关系法在水体特征提取中的应用[J]. 矿山测量, 2004(4):30-32. WANG J H, ZHANG Y B, KONG G H. Application of spectro-photometric method in extracting the water characteristics[J]. Mine Surveying, 2004(4):30-32. (in Chinese)
[75] 陈华芳, 王金亮, 陈忠, 等. 山地高原地区TM影像水体信息提取方法比较:以香格里拉县部分地区为例[J]. 遥感技术与应用, 2004, 19(6):479-484. CHEN H F, WANG J L, CHEN Z, et al. Comparison of water extraction methods in mountainous plateau region from TM image[J]. Remote Sensing Technology and Application, 2004, 19(6):479-484. (in Chinese)
[76] 张明华. 用改进的谱间关系模型提取极高山地区水体信息[J]. 地理与地理信息科学, 2008, 24(2):14-16, 22. ZHANG M H. Extracting water-body information with improved model of spectal relationship in a higher mountain area[J]. Geography and Geo-Information Science, 2008, 24(2):14-16, 22. (in Chinese)
[77] MCFEETERS S K. 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.
[78] OUMA Y O, TATEISHI R. A water index for rapid mapping of shoreline changes of five East African Rift Valley lakes:An empirical analysis using Landsat TM and ETM+ data[J]. International Journal of Remote Sensing, 2006, 27(15):3153-3181.
[79] 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. (in Chinese)
[80] FEYISA G L, MEILBY H, FENSHOLT R, et al. Automated water extraction index:A new technique for surface water mapping using Landsat imagery[J]. Remote Sensing of Environment, 2014, 140:23-35.
[81] 沈占锋, 夏列钢, 李均力, 等. 采用高斯归一化水体指数实现遥感影像河流的精确提取[J]. 中国图象图形学报, 2013, 18(4):421-428. SHEN Z F, XIA L G, LI J L, et al. Automatic and high-precision extraction of rivers from remotely sensed images with Gaussian normalized water index[J]. Journal of Image and Graphics, 2013, 18(4):421-428. (in Chinese)
[82] 曹荣龙, 李存军, 刘良云, 等. 基于水体指数的密云水库面积提取及变化监测[J]. 测绘科学, 2008, 33(2):158-160. CAO R L, LI C J, LIU L Y, et al. Extracting Miyun reservoir's water area and monitoring its change based on a revised normalized different water index[J]. Science of Surveying and Mapping, 2008, 33(2):158-160. (in Chinese)
[83] 闫霈, 张友静, 张元. 利用增强型水体指数(EWI)和GIS去噪音技术提取半干旱地区水系信息的研究[J]. 遥感信息, 2007(6):62-67. YAN P, ZHANG Y J, ZHANG Y. A study on information extraction of water system in semi-arid regions with the enhanced water index (EWI) and GIS based noise remove techniques[J]. Remote Sensing Information, 2007(6):62-67. (in Chinese)
[84] 周艺, 谢光磊, 王世新, 等. 利用伪归一化差异水体指数提取城镇周边细小河流信息[J]. 地球信息科学学报, 2014, 16(1):102-107. ZHOU Y, XIE G L, WANG S X, et al. Information extraction of thin rivers around built-up lands with false NDWI[J]. Journal of Geo-Information Science, 2014, 16(1):102-107. (in Chinese)
[85] VAPNIK V N. An overview of statistical learning theory[J]. IEEE Transactions on Neural Networks, 1999, 10(5):988-999.
[86] ROLI F, FUMERA G. Support vector machines for remote sensing image classification[C]//Proceedings Volume 4170, Image and Signal Processing for Remote Sensing VI. Barcelona, Spain, 2001, 4170:160-166.
[87] AUNG E M M, TINT T. Ayeyarwady river regions detection and extraction system from Google Earth imagery[C]//Proceedings of 2018 IEEE International Conference on Information Communication and Signal Processing. Singapore, 2018:74-78.
[88] PAUL A, TRIPATHI D, DUTTA D. Application and comparison of advanced supervised classifiers in extraction of water bodies from remote sensing images[J]. Sustainable Water Resources Management, 2018, 4(4):905-919.
[89] QUINLAN J R. Simplifying decision trees[J]. International Journal of Man-Machine Studies, 1999, 27(3):221-234.
[90] ZHU Y, SUN L J, ZHANG C Y. Summary of water body extraction methods based on ZY-3 satellite[J]. IOP Conference Series Earth and Environmental Science, 2017, 100(1):012200.
[91] 张真鲜. 新疆特克斯河流域生态环境遥感监测与评价[D]. 北京:中国地质大学(北京), 2012. ZHANG Z X. Eco-environmental monitoring and evaluation of Tekes watershed in Xinjiang using remote sensing images[D]. Beijing, China:China University of Geosciences (Beijing), 2012. (in Chinese)
[92] 陈云浩, 冯通, 史培军, 等. 基于面向对象和规则的遥感影像分类研究[J]. 武汉大学学报(信息科学版), 2006, 31(4):316-320. CHEN Y H, FENG T, SHI P J, et al. Classification of remote sensing image based on object oriented and class rules[J]. Geomatics and Information Science of Wuhan University, 2006, 31(4):316-320. (in Chinese)
[93] DURO D C, FRANKLIN S E, DUBÉ M G. A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery[J]. Remote Sensing of Environment, 2012, 118:259-272.
[94] 崔齐, 王杰, 汪闽, 等. 矢量约束的面向对象高分遥感影像水体提取[J]. 遥感信息, 2018, 33(4):115-121. CUI Q, WANG J, WANG M, et al. Water extraction from high-resolution remote sensing imagery based on vector data constraint and object-based image analysis[J]. Remote Sensing Information, 2018, 33(4):115-121. (in Chinese)
[95] YANG J, DU X R. An enhanced water index in extracting water bodies from Landsat TM imagery[J]. Annals of GIS, 2017, 23(3):141-148.
[96] ZHOU Y N, LUO J C, SHEN Z F, et al. Multiscale water body extraction in urban environments from satellite images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(10):4301-4312.
[97] QIAO C, LUO J C, SHENG Y W, et al. An adaptive water extraction method from remote sensing image based on NDWI [J]. Journal of the Indian Society of Remote Sensing, 2012, 40(3):421-433.
[98] 车向红, 冯敏, 姜浩, 等. 2000-2013年青藏高原湖泊面积MODIS遥感监测分析[J]. 地球信息科学学报, 2015, 17(1):99-107. CHE X H, FENG M, JIANG H, et al. Detection and analysis of Qinghai-Tibet Plateau lake area from 2000 to 2013[J]. Journal of Geo-Information Science, 2015, 17(1):99-107. (in Chinese)
[99] NGOC D D, LOISEL H, JAMET C, et al. Coastal and inland water pixels extraction algorithm (WiPE) from spectral shape analysis and HSV transformation applied to Landsat 8 OLI and Sentinel-2 MSI[J]. Remote Sensing of Environment, 2019, 223:208-228.
[100] IRWIN K, BEAULNE D, BRAUN A, et al. Fusion of SAR, optical imagery and airborne LiDAR for surface water detection[J]. Remote Sensing, 2017, 9(9):890.
[101] MANAF S A, MUSTAPHA N, SULAIMAN M N, et al. Artificial neural networks for satellite image classification of shoreline extraction for land and water classes of the north west coast of Peninsular Malaysia[J]. Advanced Science Letters, 2018, 24(2):1382-1387.
[102] 王知音. 基于机器学习的遥感图像水体提取研究[D]. 乌鲁木齐:新疆大学, 2016. WANG Z Y. Research on water body extraction from remote sensing image based on machine learning[D]. Urumqi, China:Xinjiang University, 2016. (in Chinese)
[103] 朱长明, 骆剑承, 沈占锋, 等. DEM辅助下的河道细小线性水体自适应迭代提取[J]. 测绘学报, 2013, 42(2):277-283. ZHU C M, LUO J C, SHEN Z F, et al. River linear water adaptive auto-extraction on remote sensing image aided by DEM[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(2):277-283. (in Chinese)
No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《清华大学学报(自然科学版)》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn