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SAR影像中叠掩与阴影区域的识别 ——以湖北巴东为例

SAR影像中叠掩与阴影区域的识别 ——以湖北巴东为例

ISSN:0494-0911
2019年第11期
学术研究
张同同1,杨红磊2,李东明3,李永杰1,刘俊男1 ZHANG Tongtong1, YANG Honglei1,2, LI Dongming3, LI Yongjie1, LIU Junnan1
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 1. China University of Geosciences, Beijing 100083, China;2. Shanxi Key Laboratory of Resources, Environment and Disaster Monitoring, Jinzhong 030600, China;3. National Center of Quality Inspection & Testing for Hydraulic Metal Structure Ministry of Water Resources, Henan Zhengzhou 450044, China

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
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ISSN:0494-0911
2019年第11期
学术研究

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