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提出一种基于有理多项式模型(RFM)的高分辨率卫星遥感影像自动匹配方法。首先利用RFM进行高分辨率卫星影像直接定位和同名点预测,并分析预测精度;然后基于投影轨迹建立近似核线方程,并分析核线精度;接着采用金字塔影像策略进行核线约束的近似一维影像匹配,并经最小二乘影像匹配精化匹配结果;最后采用RANSAC算法剔除误匹配点以获取最终的匹配结果。试验结果表明,该方法的匹配成功率和稳定性高于传统的二维灰度匹配方法和现流行的SIFT匹配方法,能够很好地解决高分辨率卫星遥感影像自动匹配中不同成像模式、多时相、大姿态角等情况导致的匹配难题。 更多还原

【Abstract】 A matching method for high resolution satellite images based on RFM is presented.Firstly,the RFM parameters are used to predict the initial parallax of corresponding points and the prediction accuracy is analyzed.Secondly,the approximate epipolar equation is constructed based on projection tracking and its accuracy is analyzed.Thirdly,approximate 1D image matching is executed on pyramid images and least square matching on base images.At last RANSAC is imbedded to eliminate mis-matching points an... 更多还原