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利用高分影像与特征匹配算法标定滑坡位移场
引用本文:张慧慧,王茹.利用高分影像与特征匹配算法标定滑坡位移场[J].测绘通报,2017(8).
作者姓名:张慧慧  王茹
作者单位:1. 东北大学资源与土木工程学院,辽宁 沈阳 110819;辽宁省交通高等专科学校测绘系,辽宁 沈阳 110122;2. 东北大学资源与土木工程学院,辽宁 沈阳,110819
基金项目:国家自然科学基金,国家重点基础研究发展计划(973)项目
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。

关 键 词:高分影像  ASIFT算法  CSIFT算法  滑坡位移场  标定

Calibrating Landslide Displacement Field by Using High-resolution Image and Feature Matching Algorithm
ZHANG Huihui,WANG Ru.Calibrating Landslide Displacement Field by Using High-resolution Image and Feature Matching Algorithm[J].Bulletin of Surveying and Mapping,2017(8).
Authors:ZHANG Huihui  WANG Ru
Abstract:Landslide hazard is one of the most destructive natural disasters in the world.Landslide monitoring is an important foundation for preventing landslide hazard.In view of the problem that feature points extracted by SIFT which is applied to landslide remote sensing monitoring is few and uneven distribution, a new improved method of calibrating landslide displacement field which uses ASIFT to process panchromatic images and CSIFT to process multi-spectral fusion images is proposed.This method can combine the different feature points extracted from ASIFT and CSIFT to get more feature matching points.The results show that compared with the SIFT algorithm, this method greatly increases the number of feature points and improves the calibration precision of the landslide displacement field.It has the advantages of low cost and high efficiency, and is very suitable for large scale large deformation field monitoring in later stage of landslide.
Keywords:high-resolution image  ASIFT algorithm  CSIFT algorithm  landslide displacement field  calibration
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