高光谱影像黄河口裸滩与黄河水区分能力评价  

Separating Capacity Evaluation of Yellow River Estuary Mudflat and Yellow River Water in Hyperspectral Image

作　　者：王建步[1] 张杰[1] 吴培强[1] 马毅[1] 

机构地区：[1]国家海洋局第一海洋研究所,山东青岛266061

出　　处：《遥感信息》2015年第4期81-84,共4页Remote Sensing Information

基　　金：国家海洋局第一海洋研究所基本科研业务费项目(2013G08;2013G21)

摘　　要：针对黄河口湿地高光谱影像中裸滩和黄河水不易区分的问题,该文基于CHRIS高光谱影像,利用水体指数算法开展了黄河口裸滩与黄河水的区分能力研究,结合模式识别领域中的"类距离"来分析不同波段组合情况下的水体指数算法的区分能力。结果表明:对于CHRIS高光谱影像来说,水体指数算法中波段组合为波段2和波段18以及波段3和波段18时,裸滩和黄河水的类距离最大,可达0.9803和0.9129,区分能力最强。The Yellow River estuary mudflat and the Yellow River water is not easy to separate in hyperspectral image.To this problem,based on CHRIS hyperspectral image,the separating capacity of the Yellow River estuary mudflat and the Yellow River water is studied in this paper by using water index algorithm.Class distance,a method from pattern recognition field,is used to analyze the separating capacity of water index algorithm based on different band combination.The result shows that the class distance between mudflat and the Yellow River water is maximum when the combination is of band 2 and band 18,as well as band 3 and band 18 is used.

关 键 词：裸滩 黄河口 高光谱影像 水体指数 波段组合 

分 类 号：P332[天文地球—水文科学] P343[水利工程—水文学及水资源]