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低空遥感影像由于其飞行平台的不稳定性,影像间旋偏角和比例尺差异较大,因此常用的基于区域灰度的匹配方法很难获得令人满意的匹配结果,甚至无法进行匹配。本文针对低空遥感影像的特点,介绍了基于SIFT算子的特征匹配原理及其在低空遥感影像全自动匹配中的应用。试验结果表明,利用核线约束进行SIFT特征匹配,其速度和精度能够满足低空遥感影像的应用需求。
Due to the instability of the flight platform and the large difference between the declination angle and the scale of the image, the commonly used method based on regional gray-scale matching is difficult to obtain satisfactory matching results or even unable to match. In view of the characteristics of low altitude remote sensing images, this paper introduces the principle of feature matching based on SIFT operator and its application in automatic matching of low altitude remote sensing images. The experimental results show that the speed and accuracy of the SIFT feature matching using the nuclear line constraint can meet the application requirements of low-altitude remote sensing images.