唐德可^{1, 2, 3},
王峰^{1, 2,,},
王宏琦^{1, 2, 3}
1.中国科学院大学 ??北京 ??100049
2.中国科学院电子学研究所 ??北京 ??100190
3.中国科学院空间信息处理与应用系统技术重点实验室 ??北京 ??100190

详细信息

作者简介:唐德可：男，1980年生，高级工程师，博士生，研究方向为动态目标识别与监视应用
王峰：男，1988年生，博士，助理研究员，研究方向为多源遥感图像识别处理
王宏琦：男，1964年生，研究员，博士生导师，研究方向为遥感图像目标检测和识别

通讯作者:王峰 wfeng_gucas@126.com

中图分类号:TP7

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出版历程

收稿日期:2018-05-03
修回日期:2018-10-24
网络出版日期:2018-11-02
刊出日期:2019-03-01

Single-polarization SAR Data Flood Water Detection Method Based on Markov Segmentation

Deke TANG^{1, 2, 3},
Feng WANG^{1, 2,,},
Hongqi WANG^{1, 2, 3}
1. University of Chinese Academy of Sciences, Beijing 100049, China
2. Insititute of Electronics, Chinese Academy of Sciences, Beijing 100190, China
3. Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China


摘要
摘要:我国是个洪涝灾害多发的国家，每年7月、8月份洪涝灾害时常发生。因此，实现洪涝受灾区域的水体快速检测对灾害救援和评估具有重要的意义。高分3号SAR卫星数据采用主动式对地观测技术，全天时、全天候成像的特点在洪涝减灾应用中具有明显的优势。以湖南省洪涝灾害区域快速检测为目的，该文提出基于高分3号单极化SAR数据的洪涝区域水体快速检测方法，包括SAR预处理，顾及SAR分布特性且保边缘的马尔科夫模型洪涝水体提取，基于SAR几何构象模型的阴影虚警干扰去除等步骤，并利用人工检测结果进行相对精度评价。测试结果表明，所提方法可以实现洪涝受灾区域的快速、精确提取。
关键词:SAR/
高分3号卫星/
马尔科夫随机场/
洪涝/
减灾
Abstract:China is a flood disaster-prone country, where floods occur frequently every year, from July to August. Therefore, rapid disaster detection and assessment of floods affected areas is of great significance. GF-3 SAR satellite data has obvious advantages of all-day, all-weather imaging characteristics in flood disaster reduction applications because of its active observation technology. For the purpose of rapid water detection in flooding area, a rapid detection method of flood area based on GF-3 single-polarized SAR data is proposed, including SAR preprocessing, flood extraction based on Markov random fields, shadow false alarm removal. Its detecting accuracy is evaluated with manual detection result. The test results show that this method can realize the rapid and accurate extraction of waters in flood disaster area.
Key words:SAR/
GF-3/
Markov Random Field (MRF)/
Flood disaster/
Disaster reduction



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