【作者】 安如； 王慧麟； 晏翔；

【Author】 AN Ru~1 WANG Hui-lin~2 YAN Xiang~1 1.Geo-informatics Department of College of Hydrology and Water Resources.Hohai University,Jiangsu Nanjing 210098; 2.College of Geography and Sea Sciences,Nanjing University,Jiangsu Nanjing 210093

【机构】 河海大学水文水资源学院地理信息科学系； 南京大学地理与海洋科学学院；

【摘要】 本文研究了通过自动寻找同名特征点进行多源遥感图像匹配的方法。运用 SIFT 进行特征点提取与描述,获得初始匹配的特征点对;对于初始的错误匹配点对,采用渐进的几何约束策略进行剔除,进而得到用于匹配纠正的同名特征点对。应用多源遥感图像进行了匹配实验,表明该方法具有尺度、旋转和光照不变的特点,是一种有效的匹配方法。更多还原

【Abstract】 A method for automatic matching for multi-sources remote sensing imagery based on SIFT(Scale Invariant Feature Transform)and heuristic local geometric constrained strategy is investigated.SIFT is used to key-points detection and description,and initial matched key-point pairs is obtained.A heuristic local geometrically constrained strategy is employed to remove mis-matched key-point pairs in initial matching stage,and homonymous key-points pairs are derived for next image matching.Multi-sources remote sensing imageries are used to experiment,and it is manifest that the approach in this paper is an efficient matching method with invariant characteristics of scale,rotation and illumination.更多还原