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Registration of CBERS-02B Satellite Imagery in quick GIS Updating

机译:在快速GIS更新中注册CBERS-02B卫星影像

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摘要

Three key techniques in registration of CBERS-02B image are introduced in this paper. Including an improved image matching strategy aided by a voting algorithm, the voting algorithm directly estimates the transformation parameters of image instead of finding the one to one corresponding, making the image matching much more efficient and reliable. Beside that, the method of handling the interior deformation problem caused by the incorrect splicing of three sub CCD arrays is introduced. At last, a virtual combination of satellite image technique is introduced, the adjacent satellite images in the same orbit are virtually combined to form a large image which is taken as the orientation unit, purposed on accelerating the orientation process speed and decreasing the probability of orientation failure. With the techniques mentioned above, the two main problems about CBERS-02B image: the inaccurate ephemeris parameters and the poor internal accuracy caused by the incorrect splicing of three sub CCD arrays are solved successfully, the absolute positioning accuracy reaches 1:10000 mapping accuracy and the internal accuracy reaches sub-pixel after the orientation process. It indicates that extensive usage of Chinese high resolution satellite imagery may become possible and practical.
机译:介绍了CBERS-02B图像配准的三种关键技术。包括一种改进的图像匹配策略,该算法借助表决算法,可以直接估计图像的转换参数,而无需寻找一对一的对应参数,从而使图像匹配更加有效和可靠。除此之外,还介绍了处理由于三个子CCD阵列的不正确拼接而导致的内部变形问题的方法。最后,介绍了卫星图像技术的虚拟组合,将同一轨道上的相邻卫星图像虚拟组合成一个大图像,作为定向单元,以加快定向过程的速度,降低定向的可能性。失败。利用上述技术,成功解决了CBERS-02B图像的两个主要问题:星历表参数不正确和三个子CCD阵列拼接不正确造成的内部精度差,绝对定位精度达到1:10000的映射精度,定向过程后,内部精度达到亚像素。这表明中国高分辨率卫星图像的广泛使用可能成为可行和实用的。

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