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基于遥感影像和矢量数据的水系变化检测
引用本文:张剑清,朱丽娜,潘励.基于遥感影像和矢量数据的水系变化检测[J].武汉大学学报(信息科学版),2007,32(8):663-666.
作者姓名:张剑清  朱丽娜  潘励
作者单位:武汉大学遥感信息工程学院,武汉市珞喻路129号,430079
摘    要:介绍了基于遥感影像和矢量数据的水系变化检测方法。根据矢量的拓扑结构,将水系分为主干河流、湖泊和支流水系网。对主干河流采用"模式分类、区域生长、形态学处理、边缘提取、缓冲区检测"的流程,对湖泊采用"区域生长、形态学处理、多边形面积相减"的处理,对支流水系网采用"金字塔分解和多尺度模板匹配、Ziplock Snakes模型优化、缓冲区检测"的策略。实验结果验证了上述方案的可行性。

关 键 词:变化检测  模式分类  区域生长  缓冲区检测
文章编号:1671-8860(2007)08-0663-04
修稿时间:2007-05-20

River Change Detection Based on Remote Sensing Imagery and Vector Data
ZHANG Jianqing,ZHU Lina,PAN Li.River Change Detection Based on Remote Sensing Imagery and Vector Data[J].Geomatics and Information Science of Wuhan University,2007,32(8):663-666.
Authors:ZHANG Jianqing  ZHU Lina  PAN Li
Institution:1. School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Abstract:River change detection based on remote sensing imagery and vector data is introduced.According to different shapes,rivers are divided into main rivers,lakes and confluent net."Pattern classification-region growing-morphologic processing-edge detection-buffer detection" are employed to main river change detection;"region growing-morphologic processing-polygon area subtracting" are used to lake and "pyramid decomposing and multiply scale template matching-Ziplock Snakes-buffer detection" are applied to confluent net.Experimental results show that schemes mentioned above are feasible.
Keywords:Ziplock Snakes
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