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首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >STUDY ON LANDSLIDE DISASTER EXTRACTION METHOD BASED ON SPACEBORNE SAR REMOTE SENSING IMAGES – TAKE ALOS PALSAR FOR AN EXAMPLE
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STUDY ON LANDSLIDE DISASTER EXTRACTION METHOD BASED ON SPACEBORNE SAR REMOTE SENSING IMAGES – TAKE ALOS PALSAR FOR AN EXAMPLE

机译：基于空间SAR影像的滑坡灾害提取方法研究-以ALOS PALSAR为例

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In this paper, sequence ALOS PALSAR data and airborne SAR data of L-band from June 5, 2008 to September 8, 2015 are used. Based on the research of SAR data preprocessing and core algorithms, such as geocode, registration, filtering, unwrapping and baseline estimation, the improved Goldstein filtering algorithm and the branch-cut path tracking algorithm are used to unwrap the phase. The DEM and surface deformation information of the experimental area were extracted. Combining SAR-specific geometry and differential interferometry, on the basis of composite analysis of multi-source images, a method of detecting landslide disaster combining coherence of SAR image is developed, which makes up for the deficiency of single SAR and optical remote sensing acquisition ability. Especially in bad weather and abnormal climate areas, the speed of disaster emergency and the accuracy of extraction are improved. It is found that the deformation in this area is greatly affected by faults, and there is a tendency of uplift in the southeast plain and western mountainous area, while in the southwest part of the mountain area there is a tendency to sink. This research result provides a basis for decision-making for local disaster prevention and control.
机译：本文采用2008年6月5日至2015年9月8日的L波段序列ALOS PALSAR数据和机载SAR数据。在对SAR数据预处理和地理编码，配准，滤波，展开和基线估计等核心算法进行研究的基础上，采用改进的Goldstein滤波算法和分支切路径跟踪算法对相位进行展开。提取了实验区域的DEM和表面变形信息。结合SAR特有的几何学和差分干涉法，在多源图像合成分析的基础上，提出了一种结合SAR图像相干性的滑坡灾害检测方法，弥补了单一SAR和光学遥感采集能力的不足。 。特别是在恶劣的天气和异常的气候区域，灾难应急的速度和提取的准确性得以提高。发现该区域的变形受断层影响很大，东南平原和西部山区有隆升的趋势，而山区西南部有下陷的趋势。该研究结果为地方防灾决策提供了依据。

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