基于雷达干涉失相干特性提取冰川边界方法研究  

Deriving Glacier Border Information Based on Analysis of Decorrelation in SAR Interferometry

作　　者：周建民[1,2,3] 李震[1] 邢强[1,3] 

机构地区：[1]中国科学院对地观测与数字地球科学中心数字地球重点实验室,北京100101 [2]中国科学院遥感应用研究所,北京100101 [3]中国科学院研究生院,北京100049

出　　处：《冰川冻土》2010年第1期133-138,共6页Journal of Glaciology and Geocryology

基　　金：国家重点基础研究发展计划(973计划)项目(2009CB723901);中国科学院知识创新工程重要方向项目(KZCX2-YW-301);国家自然科学基金项目(40671140);中国科学院遥感应用研究所知识创新项目(08S03100CX)资助

摘　　要：冰川边界提取是冰川变化监测的一个重要参数,光学冰川遥感方法可以有效、精确的提取出无云区域冰川的边界信息,但是,对于有云区域和天气状况不好的冰川区域却很难获取冰川的边界信息.提出了一种基于SAR干涉失相干特性的提取冰川边界信息的方法,该方法利用内陆冰川表面失相干问题严重的特点,通过比对冰面相干系数和非冰覆盖区域的相干系数,采用阈值法对冰川区域的干涉相干图进行冰川边界的提取.根据上述方法提取冰川边界的精度达到89%,结果表明利用雷达干涉失相干特性进行冰川边界提取是可行的.Variation of glacier border is an important parameter of the glacier change monitoring. Although now the optical remote sensing method can extract the variations of glaciers effectively and accurately in the cloudless regions, the variation of glacier with more cloud and bad weather is difficult to be extracted. In this paper, a new method is presented, based on the decorrelation of repeated SAR interferometry, to extract the variation of glacier. 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, the classification result is compared with that derived from TM image. An accuracy of better than 89% can be achieved if the classification result from TM image is considered as the ground truth. The results show that this method provides an effective way to identify the glacierized area from the coherent image.

关 键 词：雷达干涉测量 失相干 冰川边界 

分 类 号：TP751[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]