基于遥感影像和矢量数据的水系变化检测

River Change Detection Based on Remote Sensing Imagery and Vector Data

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。

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.