一种稳健的多时相遥感图像相对辐射校正方法

变化检测是通过分析多时相遥感图像实现土地利用动态监视的一种有效方法，但在变化检测 分析前，需要经过辐射校正消除光照等因素对地物光谱辐射的影响，使同一地物在不同时相 影像中具有相同的辐射量。根据地物在不同时相遥感图像中的光谱特性满足线性关系的 特点，提出一种自动实现多时遥感图像相对辐射校正的稳健方法，首先通过最小差分回归找 出非变化地物在多时相遥感图像中的辐射关系 |然后利用变化区域证实过程消除变化区域对 辐射校正处理的影响 |最后通过循环迭代实现图像间的辐射校正。提出的方法不仅可以自动 地实现多时相遥感图像的相对辐射校正，而且能够保证图像的辐射分辨率不会因为辐射校正而降低。

An Automatic and Robust Relative Radiometric Calibration Method for Multitemporal Remote Sensing Images

Multitemporal remote sensing images change detection has been employed in land use and land cover change widely.The radiometric normalization of multitemporal satellite optical images of the same terrain is often necessary for land cover change detection.An automatic and robust relative radiometric calibration method for multitemporal remote sensing images is introduced in this paper.The selection of pseudo invariant features is done statistically.With quality control,least absolute deviation(LAD) is used to find linear relationships between multitemporal images of the same area.In order to eliminate the influence of change area,change area is got rid of with the help of regress line.At last, the radiometric calibration parameter is improved iteratively based on the slope of the regress line.The new procedure is applied to two Landsat Thematic Mapper(TM) images from different years(1997 and 2003) and of the same area.Results show that the error in radiometric consistency between the multitemporal images is reduced effectively.