利用高分影像与特征匹配算法标定滑坡位移场

发布时间：2018-02-25 15:41

本文关键词： 高分影像 ASIFT算法 CSIFT算法滑坡位移场标定　出处：《测绘通报》2017年08期 　论文类型：期刊论文

【摘要】：滑坡灾害是世界上破坏力极大的自然灾害之一,滑坡监测是预防滑坡灾害的重要基础。针对SIFT算法在滑坡遥感监测应用中存在特征点数量少、分布不均的问题,提出了一种将ASIFT算法和CSIFT算法相结合进行滑坡位移场标定的方法,即利用ASIFT处理全色影像,利用CSIFT处理多光谱融合影像,将两种方法提取的互不相同的特征点叠加综合得到更多的特征匹配点。该方法在露天矿滑坡的应用结果表明:与SIFT算法相比,新改进的方法大幅度增加了特征点数量,提高了滑坡位移场标定精度,且成本低、效率高,非常适合于大型滑坡后期大变形场监测。
[Abstract]:Landslide disaster is one of the most destructive natural disasters in the world, and landslide monitoring is an important foundation to prevent landslide disaster. Aiming at the problem that the number of feature points is small and the distribution is uneven in the application of SIFT algorithm in landslide remote sensing monitoring. A method of landslide displacement field calibration based on ASIFT algorithm and CSIFT algorithm is proposed, which uses ASIFT to process panchromatic image and CSIFT to multispectral fusion image. More feature matching points are obtained from the superposition of different feature points extracted by the two methods. The results of the application of this method in the landslide of opencast mine show that compared with the SIFT algorithm, the new improved method greatly increases the number of feature points. The calibration accuracy of displacement field of landslide is improved, and the cost is low and the efficiency is high. It is very suitable for monitoring large deformation field in the late stage of large landslide.
【作者单位】：东北大学资源与土木工程学院;辽宁省交通高等专科学校测绘系;
【基金】：国家自然科学基金(41440032;41074127) 国家重点基础研究发展计划(973)项目(2011CB707102)
【分类号】：P642.22;TP751

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