Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (31): 22-24.DOI: 10.3778/j.issn.1002-8331.2010.31.006

• 博士论坛 • Previous Articles     Next Articles

Adaptive high-resolution remote sensing image fusion algorithm based on IHS

WANG Wan-tong1,2,LI Rui2   

  1. 1.College of Environment and Planning,Henan University,Kaifeng,Henan 475001,China
    2.Institute of Geographical Science and Natural Resources,Chinese Academy of Sciences,Beijing 100101,China
  • Received:2010-06-28 Revised:2010-09-29 Online:2010-11-01 Published:2010-11-01
  • Contact: WANG Wan-tong


王万同1,2,李 锐2   

  1. 1.河南大学 环境与规划学院,河南 开封 475001
    2.中国科学院 地理科学与资源研究所,北京 100101
  • 通讯作者: 王万同

Abstract: This paper tries to propose an adaptive fusion algorithm suited to high-resolution remote sensing image,which is based on the analysis of some other improved algorithm of Intensity-Hue-Saturation(IHS).On account of fast intensity-hue-saturation(FIHS) transform,this algorithm is improved from the aspects of intensity component and spatial information,and adjusts the weight through correlation coefficient to avoid the deviation caused by the subjective factors,therefore keeps the balance between spatial details and optical spectrum and improves the calculative efficiency. Comparing with some other improved algorithms of IHS,this algorithm is better than them.

Key words: Intensity-Hue-Saturation(IHS), high-resolution remote sensing images, image fusion, adaptive weight, correlation coefficient

摘要: 在分析几种IHS算法的基础上,提出了一种适合于高分辨率遥感影像的自适应加权融合算法。该算法基于快速IHS变换,从亮度成份构成和空间细节注入程度两个方面加以改进,采用相关系数来调整权重,避免了人工指定权重带来的主观因素偏差,在提高影像空间细节和光谱保持之间取得了较好的均衡,同时还具备了高计算效率。通过融合实验并与几种改进的IHS算法的对比分析,该算法均优于其他几种改进算法。

关键词: IHS算法, 高分辨率遥感影像, 影像融合, 自适应权重, 相关系数

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