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Use of stereo-matching to coregister multiangle data from MISR

机译:使用立体匹配从MISR共配准多角度数据

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The pattern-matching algorithms originally developed for Multi-angle Imaging SpectroRadiometer (MISR) (flying on the Earth Observing System (EOS) Terra platform) cloud retrieval have also proven useful in independently providing quality assurance of the coregistration of multiangle measurements with the nadir view. Two new techniques developed to test the coregistration are described in this paper along with results of the misregistration detection on both historical and current data. No ground-control points are strictly necessary for these calculations-just simultaneous clear-sky land imagery for three cameras and knowledge of the terrain altitude. The difficulty of registration increases with the obliquity of the view angle, so our emphasis is on coregistering to the nadir view. This paper also provides proxy validation of the stereo-matching algorithms for clear-sky land scenes.
机译:最初为多角度成像光谱辐射仪(MISR)(在地球观测系统(EOS)Terra平台上飞行)云检索而开发的模式匹配算法还被证明可用于在天底视图下独立地提供多角度测量的一致性的质量保证。 。本文介绍了开发的两种用于测试配准性的新技术,以及历史数据和当前数据的配准错误检测结果。这些计算完全不需要地面控制点-只需同时使用三台摄像机的晴朗天空陆地图像和有关地形高度的知识即可。配准的难度随着视角的倾斜而增加,因此我们的重点是对天底视图进行配准。本文还提供了晴朗天空陆地场景立体匹配算法的代理验证。

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