基于自分类和颜色空间变换的遥感图像色彩校正方法

提出了一种基于遥感自动分类和lab 颜色空间变换的色彩校正方法, 并用此方法对不同时间的ETM遥感图像进行了多景色彩校正后的拼接实验。实验结果显示, 相对于重叠区域校正、直方图匹配等常规方法, 该方法能够很好地校正不同获取时间所导致的景间颜色、亮度差异, 提高遥感图像后续分类、变化检测的准确性以及多景遥感图像的拼接效果。

Color calibration of remote sensing imagery based on automatic classification and color space transformation

The remote sensing images captured at different time may be quite different in color, brightness because of various atmospheric conditions, seasonal changes in vegetation characteristics and other reasons. These differences not only cause great impact on subsequent image classification and change detection, but also bring difficulties in remote sensing image mosaicking. This paper presents a color calibration method based on remote sensing automatically classification and lab color space transformation. Multi-images mosaic with ETM captured at different time are experimented by applying this method. The results of experiments show that color calibration method can calibrate difference of color and brightness in images caused by the different time more effectively than conventional methods, such as overlapping zone calibration and histogram matching. So it can improve the accuracy of follow-up image classification and change detection, as well as the remote sensing images mosaicking effect.