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一种基于灰色绝对关联度的遥感影像融合方法
Weighted IHS fusion of multi-source remotely-sensed image based on edge detection using grey absolute correlation degree
【Author】 DU Pei-jun YUAN Lin-shan WANG li ZHANG Hua-peng(Department of Remote Sensing and Geographical Information Science,China University of Mining and Technology,Xuzhou City Jiangsu Province 221008)
【机构】 中国矿业大学地理信息与遥感科学系;
【摘要】 提出一种基于灰色绝对关联度和 IHS 变换的多源遥感影像融合方法,采用灰色绝对关联度检测高分辨率影像的边缘点,基于边缘信息确定高分辨率影像和 IHS 变换后的亮度分量在组合中的权值,通过 IHS 反变换实现影像加权融合。试验表明该方法在提高空间分辨率的同时能够很好地保持多光谱影像的光谱信息。
【Abstract】 An improved algorithm for fusing high spatial resolution and multi-spectral remote sensing images is proposed based on traditional IHS fusion and grey correlation analysis.Grey absolute correlation degree is used to discriminate non-edge pixels and edge pixels in high resolution images.Therefore,image fusion is achieved using reverse IHS transform.The proposed method is applied to multi-spectral Landsat TM data and SPOT panchromatic data fusion.The experimental result shows that the proposed method can efficiently preserve spectral information of the original multi-spectral images while enhancing spatial resolution greatly.
【Key words】 image fusion; grey absolute correlation degree; edge detection; IHS transform;
- 【会议录名称】 第十四届全国图象图形学学术会议论文集
- 【会议名称】第十四届全国图象图形学学术会议
- 【会议时间】2008-05
- 【会议地点】中国福建福州
- 【分类号】TP751
- 【主办单位】中国图象图形学学会