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基于DTM的水边线遥感信息提取方法
引用本文:郑宗生,周云轩,沈芳,蒋雪中,田波.基于DTM的水边线遥感信息提取方法[J].国土资源遥感,2007,18(2):56-59.
作者姓名:郑宗生  周云轩  沈芳  蒋雪中  田波
作者单位:华东师范大学河口海岸国家重点实验室,上海,200062
基金项目:国家重点基础研究发展计划(973计划) , 教育部高等学校优秀青年教师教学科研奖励计划
摘    要:水边线附近的高浊度悬沙及浅滩表层的残余水体是影响水边线信息提取的重要因素。在分析长江口区不同浓度水体与背景地物光谱特征的基础上,采用决策树分析方法进行水边线提取,在分类器的节点用水深信息作为约束条件,消除了水边线附近热流对热红外波段水边线提取的影响。同时,利用参考DTM及潮位信息实施了水边线的提取,此方法有效消除了表层残余水体对水边线提取的影响。最后运用统计学中自身一致性校验及平均偏移指数来评价提取结果。结果表明,两种方法的总体提取效果较好,精度令人满意。

关 键 词:水边线  长江口  决策树模型  DTM
文章编号:1001-070X(2007)02-0056-04
收稿时间:2006-08-09
修稿时间:2006-08-092006-10-30

WATERLINE EXTRACTION FROM REMOTELY SENSED IMAGES WITH DTM
ZHENG Zong-sheng,ZHOU Yun-xuan,SHEN Fang,JIANG Xue-zhong,TIAN Bo.WATERLINE EXTRACTION FROM REMOTELY SENSED IMAGES WITH DTM[J].Remote Sensing for Land & Resources,2007,18(2):56-59.
Authors:ZHENG Zong-sheng  ZHOU Yun-xuan  SHEN Fang  JIANG Xue-zhong  TIAN Bo
Institution:State Key Laboratory of Estnarine and Coastal Research, East China Normal University, Shanghai 200062, China
Abstract:The locations of waterline in remotely sensed images are mainly affected by high concentration suspended sediments and surface remnant water.A decision tree model considering the water depth was applied in this paper to detecting waterline.Furthermore,waterline was also traced from the reference digital terrain model(DTM) and the associated tidal elevation.The two approaches were both used to delineate the waterline in the Yangtze Estuary,and the experimental results indicate that they are fairly effective in waterline extraction.
Keywords:Waterline  The Yangtze Estuary  Decision tree model  DTM
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