一种遥感卫星影像的自适应色彩增强算法  

Remote Sensing Image Color Enhancement Based on Self-Adaptive Gray Value Transformation

作　　者：夏琴[1] 邢帅[1] 马东洋 莫德林[1] 张军军[1] 葛忠孝 

机构地区：[1]信息工程大学,河南郑州450001 [2]中国天绘卫星中心,北京102102

出　　处：《测绘科学技术学报》2016年第1期59-64,共6页Journal of Geomatics Science and Technology

基　　金：国家自然科学基金项目(41371436);国家973计划项目(2012CB720001)

摘　　要：国产遥感卫星多光谱影像普遍存在着亮度、对比度低的问题,人工调整在一定程度上能得到较好的视觉效果,但是处理效率低且存在显著的不确定性。为此,提出了一种基于灰度变换的自适应色彩增强算法,通过分析异常像素值在灰度直方图中的分布特点自适应地确定截止阈值,并利用色彩调整使不同波段间灰度均值趋于一致。与几种经典的色彩增强方法的比较实验结果表明,提出方法的自动调整效果与人工调整一致,且能保持影像的多光谱信息的完整、不失真。The low brightness and contrast is usually a problem of domestic remote sensing satellite multispectral images. Manual adjustment using the existing software can improvethe visual effect in a certain extent with low efficiency and significant uncertainty. A new color enhancement algorithm based on self-adaptive gray value transformation has been proposed, which could determine the cut-off threshold adaptively by analyzing the distribution of abnormal gray values in histogram. Then the color adjustment has conducted to make the average gray value of different bands become more consistent. The comparative experiment results with several classical methods have shown that, the performance of the proposed algorithm was in accordance with manual adjustment, and it could keep the multispectral information of the image complete and undistorted.

关 键 词：卫星影像 色彩增强 自适应 灰度变换 质量评价 

分 类 号：P237[天文地球—摄影测量与遥感]