中文摘要：

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、ZiplockSnakes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。

英文摘要：

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.