基于距离权重的分块MASK匀光算法  

An Improved MASK Dodging Method Research on Neighborhood Pixles

作　　者：王文滔 闻德保[1] 陈正超 朱俊杰 

机构地区：[1]长沙理工大学交通运输工程学院,湖南长沙410114 [2]中国科学院遥感与数字地球研究所,北京100094

出　　处：《测绘与空间地理信息》2017年第12期47-50,56,共5页Geomatics & Spatial Information Technology

基　　金：国家自然科学基金项目(41271370)资助

摘　　要：匀光处理是遥感影像处理中十分重要的一个步骤,现有的MASK匀光算法对消除影像内部光照不均匀现象有较好的效果。但是,MASK算法仍具有一定的局限性,如高斯滤波器最佳尺寸的选择问题,匀光后影像依然存在反差分布不一致问题。针对这些问题,本文提出了一种基于距离权重的分块MASK匀光算法。通过实验,与传统MASK算法进行对比分析,证明本方法得到的结果影像质量更好,反差也趋于一致。The dodging processing is a very important step in remote sensing image processing. The existent MASK dodging algorithm is a good method for removing the uneven lightness within a single image. However,this method still have some limitations,such as how to choice the best size of Gaussian filter,and the contrast is inconsistent in the image after MASK dodging processing. For solving these problems,a block MASK dodging algorithm based on distance weighting was proposed in this paper. The experiment showed that this method can make image contrast more consistent and image quality better than existent MASK dodging method.

关 键 词：遥感影像 MASK匀光算法 距离权重 截止频率 

分 类 号：P237[天文地球—摄影测量与遥感]