一种基于IHS变换和小波变换的多源遥感影像融合新方法  

A New Multi-source Remote Sensing Image Fusion Method Based on IHS Transformation and the Wavelet Transformation

作　　者：梁苏苏[1] 张鹤鸣[1] 段彩梅[1] 

机构地区：[1]中国矿业大学环境与测绘学院,江苏徐州221116

出　　处：《现代测绘》2013年第2期16-18,29,共4页Modern Surveying and Mapping

基　　金：中央高校基本科研业务费专项(2011QNA02);国土资源部公益性行业科研专项(201111013);江苏省资源环境信息工程重点实验室基金(JS201105)

摘　　要：为了提高遥感影像的质量,分辨率和清晰度,本文提出了一种基于HIS变换和小波变换的多源遥感融合方法。将待融合的多光谱影像进行IHS变换,得到I分量,对I分量和待融合的高分辨率全色影像分别进行小波变换得到低频分量与高频分量。针对低频分量用低频系数求平均的融合方法,针对高频分量按局部方差最大的融合策略进行融合,然后将融合后的低频分量和高频分量进行小波逆变换。实验表明,该算法明显提高了图像的质量。In order to improve the quality,resolution and clarity of the remote sensing image, this paper proposed a multi-source remote sensing image fusion method based on HIS transformation the wavelet transformation. For the multi-spectral image which is waiting for fusion, we can do IHS transformation to get I components, then wavelet transform was applied in I components and high resolution full-color images to obtain low frequency and high frequency. As for the low frequency components, average fusion method was proposed. As for the high-frequency components, the biggest local variance integration strategy was proposed, and then do wavelet inverse transform for the low-frequency components and high frequency components to reconstruct the fused images. Experiments show that, the algorithm has obviously improved the quality of the image.

关 键 词：多源遥感影像 小波变换 低频系数 局部方差 融合算法 

分 类 号：P237[天文地球—摄影测量与遥感]