Aimed at efficient processing of the massive image data obtained by multi-sensors in planetary exploration missions,the authors proposed a solution to automatic accurate geo-rectification of the remote sensing images by matching them to the available reference images,which are already mapped into certain coordinate frame. Considering the large resolution gap between some of the images, this paper recommended an indirect matching strategy. The authors also tackled the problem concerning the choice of the appropriate reference image according to the characteristics of the typical lunar and Mars images. Using CCD images of CE-1 and CE-2 images from Chang'E missions and HiRISE images from MRO mission,with reference images from LROC WAC and THEMIS VIS respectively,the authors conducted the experiments. The accuracy of the corrected image were evaluated with manually selected checkpoints. The results show that, by matching them with referenced images, the control points can be chosen automatically and the subsequent rectification can achieve a significant accuracy improvement compared with that without any control points. The proposed solution is effective and practical for automatic geometric processing of planetary remote sensing images.
孙义威, 刘斌, 邸凯昌, 刘召芹. 基于参考图像的行星遥感图像自动几何精纠正[J]. 国土资源遥感, 2015, 27(1): 23-28.
SUN Yiwei, LIU Bin, DI Kaichang, LIU Zhaoqin. Automatic accurate geo-rectification of planetary remote sensing image based on reference image. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(1): 23-28.
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