以南京市为研究区,基于面向对象的分类方法,对TM影像进行LBV变换,选择B分量阈值进行水体信息提取. 结果表明,水体信息提取精度为94.6%. 与基于像元的B分量阈值法和基于像元及面向对象的改进的归一化水体指数(MNDWI)阈值法相比,该方法提取水体信息快速准确,不但消除了山体阴影和城市建筑物的影响,还减少了分类"椒盐现象". 该方法简单易行,适用于水体信息的自动提取.
Taking the Nanjing city as the research area, we transform the TM image with the LBV way to extract the water information based on object-oriented classification method. The experiment results show that the extraction accuracy of water information reaches 94.6%. This method not only removes the influence of the mountain shadow and city buildings, but also reduces the salt-phenomenon. This method is simple and has practical value. It is suitable for automatic extraction of water information.
[1] Du Y Y, Zhou C H. Automatically extracting remote sensing information for water bodies[J].Journal of Remote Sensing, 1998,2(4):264-269(in Chinese). 杜云艳,周成虎. 水体的遥感信息自动提取方法[J]. 遥感学报,1998,2(4):264-269.
[2] Jupp D L B, Mayo K K, Kuchler D A, et al. Landsat based interpretation of the cairns section of the Great Barrier Reef Marine Park [C]//CSIROC Natural Resources Series.Australia: Division of Water and Land Resources,1985.
[3] 杨存建,徐美. 遥感信息原理的水体提取方法的探讨[J]. 地理研究,1998,17:86-89.
[4] 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.
[5] Xu H Q. A study on information extraction of wayer body with the modified normalized differencr water index(MNDWI) [J]. Journal of Remote Sensing,2005,9(5):589-595 (in Chinese). 徐涵湫. 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.
[6] Fu J, Wang J Z, Li J R. Study on the automatic extraction of water body from TM image using decision tree algorithm [C]//ISPDI,2007.Beijing,China,2007:1-9.
[7] Zhang Z H, Prinet V, Ma S. Water body extraction from mutisource satellite images [C]//IEEE IGARSS. Toulouse,France,2003:3970-3972.
[8] Sun X X, Zhang J X, Liu Z J. Extracting the river and the road using an object oriented technique from IKONOS panchromatic imagery[J]. Science of Surveying and Mapping,2006,31(1):62-64 (in Chinese). 孙小霞,张继贤,刘正军. 利用面向对象的方法从IKONOS全色影像中提取河流和道路[J]. 测绘科学,2006,31(1):62-64.
[9] Cao K, Jiang N, Lü 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 & Resources, 2007,2:27-30 (in Chinese). 曹凯,江南,吕恒, 等. 面向对向的SPOT5影像城区水体信息提取研究[J]. 国土资源遥感,2007,2:27-30.
[10] Xu T, Tan Z K, Yan X P, Extraction techniques of urban water bodies based on object-oriented[J]. Geospatial Information,2010,8(3):64-66 (in Chinese). 徐涛,谭宗坤,闫小平. 面向对象的城市水体信息提取方法[J]. 地理空间信息,2010,8(3):64-66.
[11] Zeng Z Y. A new method of data transformation for satellite images:I.Methodology and transformation equations for TM images[J].Remote Sensing,2007,28(18):4095-4124.
[12] Li M G, Fan H D, Deng K Z. New methods for water body extraction from TM data based on LBV transformation [J].Science of Surveying and Mapping,2010,35(3):138-139 (in Chinese). 栗敏光,范洪冬,邓喀中. 基于LBV变换的TM数据水体提取新方法[J]. 测绘科学,2010,35(3):138-139.
[13] 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):317-320(in Chinese). 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,2006,31(4):317-320.
[14] 南京市水利局. 南京市水利简介 [R/OL].中国,南京市水利局. (2009) [2011-10-21]. http://www.njsl.gov.cn/www/njsl/slgk.htm.
