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Geometric correction algorithms for satellite imagery using a bi-directional scanning sensor

机译:使用双向扫描传感器的卫星图像几何校正算法

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摘要

High-precision geometric correction algorithms for a bidirectionally scanned image that are based on separate geometric models according to the distortion characteristics are described. The modeling accuracy is evaluated through the use of simulated and observed Landsat Thematic Mapper (TM) images. TM images include a discontinuous distortion and a high-frequency distortion due to attitude fluctuations and bidirectional scans. A geometric model consisting of a single-valued-function is used to correct these distortions. The iteration calculation of the mapping cannot be converged, resulting in an enormous amount of calculation and data. Therefore, geometric models consisting of separate geometric models of the bidirectional scans and frequency components are proposed.
机译:描述了用于双向扫描图像的高精度几何校正算法,该算法基于畸变特性基于单独的几何模型。通过使用模拟和观察到的Landsat Thematic Mapper(TM)图像来评估建模精度。由于姿态波动和双向扫描,TM图像包括不连续失真和高频失真。由单值函数组成的几何模型用于校正这些变形。映射的迭代计算无法收敛,从而导致大量的计算和数据。因此,提出了由双向扫描的单独几何模型和频率分量组成的几何模型。

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