基于小波分析的河道主溜线遥感检测研究  

Research on River Main-stream Detection with Wavelet Transform from Remote Sensing

作　　者：韩琳[1,2] 张艳宁[1] 刘学工[2] 宋瑞鹏[2] 吴岩[2] 

机构地区：[1]西北工业大学计算机学院,陕西西安710072 [2]黄河水利委员会,河南郑州450004

出　　处：《遥感技术与应用》2012年第5期790-796,共7页Remote Sensing Technology and Application

基　　金：教育部高等学校科技创新工程重大项目培育资金项目"黄河自然灾害信息监测与预警网络系统"(708085)

摘　　要：河道主溜是河势的关键要素,是防洪决策需要及时掌握的重要信息,遥感则是快速获取河道主溜的重要途径。根据对现实河道水流中主溜表象的实际观测,分析了河道横断面上主溜区域与非主溜区域表象特征,提出了基于小波多尺度峰值分析的河道主溜检测算法,并利用黄河下游河道TM遥感影像进行了主溜检测实验,以人工查勘主溜线为真值,对检测结果进行了精度评价,验证了该算法对检测河道主溜的有效性。River Main-stream is the key factor flood control decision. It is a good approach to of river regime, which is a very important information for get the main-stream information from remote sensing images in time. According to the field observation on water surface phenomena of river main-stream, water surface characteristics on main-stream and non main-stream were analyzed on river transect, and a river main- stream detection algorithm based on wavelet transform and its multi-scale peak value analysis was pro- posed. The proposed algorithm was verified by TM images on the lower reaches of Yellow River, and the precision was evaluated through comparing with manual-surveyed line on the same reaches, therefore the results validated that the proposed method can be used to river main-stream detection in the lower Yellow River.

关 键 词：小波变换 TM图像 黄河下游 河势 主溜 

分 类 号：TP753[自动化与计算机技术—检测技术与自动化装置]