Deriving glacier border information based on analysis of decorrelation in SAR interferometry  

作　　者：JianMin Zhou Zhen Li Qiang Xing 

机构地区：[1]Key Laboratory of Digital Earth, Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China

出　　处：《Research in Cold and Arid Regions》2010年第3期212-217,共6页寒旱区科学（英文版）

基　　金：supported by funds from 973 Program (No.2009CB723901);863 Program (No. 2009AA12Z122);863 Program (No. 2008AA12Z145)

摘　　要：Variations of glaciers are important parameters for monitoring glacial change. Although optical remote sensing method can extract variations of glaciers effectively and accurately in cloudless regions, these variations are difficult to extract in cloudy conditions and bad weather. In this paper, a new method is presented, based on the decorrelation of repeat SAR interferometry, to extract the variations of glaciers. This method uses the decorrelation of the inland glacier＇s surface to extract the variation of glacier by comparing the coherence of the glacier and land cover in threshold values. For validation of this method, we compared classification results with that derived from TM images. An accuracy of better than 89% can be achieved if we consider the classification result from TM image as the ground truth. Results show that this method provides an effective way to identify icy areas from the coherent image.Variations of glaciers are important parameters for monitoring glacial change. Although optical remote sensing method can extract variations of glaciers effectively and accurately in cloudless regions, these variations are difficult to extract in cloudy conditions and bad weather. In this paper, a new method is presented, based on the decorrelation of repeat SAR interferometry, to extract the variations of glaciers. This method uses the decorrelation of the inland glacier＇s surface to extract the variation of glacier by comparing the coherence of the glacier and land cover in threshold values. For validation of this method, we compared classification results with that derived from TM images. An accuracy of better than 89% can be achieved if we consider the classification result from TM image as the ground truth. Results show that this method provides an effective way to identify icy areas from the coherent image.

关 键 词：SAR interferometry decorrelation glacier border 

分 类 号：TP72[自动化与计算机技术—检测技术与自动化装置] P343.6[自动化与计算机技术—控制科学与工程]