Kalman-CS非均匀性场景校正算法的研究

Kalman-CS Scene-Based Algorithm for Nonuniformity Correction

多元探测器的应用必然会给遥感图像带来非均匀性,这是目前国内外遥感界竞相研究的领域。本文将Kalman滤波器校正算法与常数统计(CS)校正算法相结合,提出了Kalman-CS校正算法。对美国TERRA卫星MODIS图像进行的校正试验表明:采用Kalman-CS校正算法能有效去除遥感图像中的非均匀性条带,校正后的图像品质显著提高。

The use of multi-element detectors would results in the nonuniformity of remote sensing images. This is the field being studied by the remote sensing communities at home and abraod now. In this paper, a Kalman-CS scene-based correction algorithm which combines the Kalman filtering algorithm with the constant-statistics （CS） algorithm is proposed. The correction tests carried out for the images from MODIS onboard TERRA satellite show that this Kalman-CS scene-based correction algorithm can be used to remove the nonuniform stripes in the remote sensing images effectively and the quality of the corrected images is improved obviously.