弱辐射特征遥感影像的自动伽马校正

Automatic Gamma Correction of Low Radiation Image

为了有效地消除光照不均对成像效果的影响,还原原始图像信息,通过分析Gamma校正函数及对函数包含参数的适应性实验,研究并提出了依据原始图像像素分布自动确定Gamma函数参数值的伽马校正方法,实现了弱辐射特征图像的自动灰度修正。对近海区域的遥感影像进行了辐射校正实验,证明该方法对弱辐射特征的遥感影像有很好的校正效果。

This paper analyses Gamma correction function and function parameter adaptability and put forward a Gamma correction method which can automatically calculate the parameters of Gamma function according to pixel distribution of original image for eliminating effect of uneven illumination and renewing original image information. This method realizes automatic amendment of gray levels of low radiant characteristic image. This paper carry out an experiment on inshore remote sensing image to testily that this method has a very good correction result on low radiant characteristic remote sensing image.