SAR影像中叠掩与阴影区域的识别——以湖北巴东为例  

Identification of layover and shadows regions in SAR images:——taking Badong as an example

作　　者：张同同 杨红磊[1,2] 李东明 李永杰[1] 刘俊男 ZHANG Tongtong;YANG Honglei;LI Dongming;LI Yongjie;LIU Junnan(China University of Geosciences,Beijing 100083,China;Shanxi Key Laboratory of Resources,Environment and Disaster Monitoring,Jinzhong 030600,China;National Center of Quality Inspection&Testing for Hydraulic Metal Structure Ministry of Water Resources,Henan Zhengzhou 450044,China)

机构地区：[1]中国地质大学(北京),北京100083 [2]资源环境与灾害监测山西省重点实验室,山西晋中030600 [3]水利部水工金属结构质量检验测试中心,河南郑州450044

出　　处：《测绘通报》2019年第11期85-88,共4页Bulletin of Surveying and Mapping

基　　金：国家自然科学基金青年科学基金(41304012);国家自然科学基金仪器专项(61427802);国家自然科学基金重点项目NSFC(41330634);国家自然科学基金面上项目(41374016);国家电网公司科技项目(GCB17201700121)

摘　　要：SAR影像中叠掩和阴影区域的识别是滑坡监测中的首要工作,本文针对这一工作利用雷达卫星成像时的几何模型与图像处理中形态学方法综合识别叠掩与阴影区域,以ALOS-2数据为例,对比该地区雷达强度图像,验证了本文试验方法的可靠性。The identification of overlapping and shadow areas in SAR images is the primary work in landslide monitoring. In this paper,the geometric model of radar satellite imaging and the morphological method in image processing are used to comprehensively identify the overlap and shadow regions. Take the ALOS-2 data as an example. The reliability of the experimental method is verified by comparing the radar intensity images in this area.

关 键 词：雷达影像 叠掩 阴影 几何模型 滑坡 

分 类 号：P237[天文地球—摄影测量与遥感]