一种改进IKONOS融合影像中植被色偏的IHS算法  

An IHS Algorithm Improving the Vegetation Color Distortion of the Fused IKONOS Image

作　　者：王万同[1] 刘鹏飞[1] 

机构地区：[1]河南大学环境与规划学院,开封475001

出　　处：《遥感信息》2011年第4期71-75,共5页Remote Sensing Information

基　　金：国家自然科学基金项目(40771146)资助

摘　　要：在分析几种改进IHS算法的基础上,针对IKONOS影像融合后植被区出现的色偏问题,提出一种改进算法。该算法采用缨帽变换的方法提取植被信息,并对植被区与非植被区分别采用不同的融合策略,最终得到融合影像。实验结果表明,该算法在保持光谱和提高空间细节之间获得较好均衡的同时,植被区的色偏问题也得到改善,具有更好的目视效果,与几种改进的IHS算法对比分析,该算法均优于其他几种改进算法。This paper proposes an improved algorithm,which is dealing with the color distortion problem of the vegetation region after the IKONOS image fusion,based on the analysis of some other improved algorithms of Intensity-Hue-Saturation（IHS）.The proposed algorithm adopts the method of Tasseled Cap Transform to extract the vegetation information and employs the different fusion strategies to analyze the vegetation region and non-vegetation region separately in order to get a final fused image.Experiment result demonstrates that while the algorithm keeps the balance between spectrum and the improving details of spatial resolution,and,at the same time,improve the color distortion to have the better visual effect.Comparing with some other improved algorithms of IHS,the proposed algorithm is better than them.

关 键 词：IHS 缨帽变换 IKONOS影像 影像融合 植被色偏 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]