HCT变换与联合稀疏模型相结合的遥感影像融合

doi:10.11947/j.AGCS.2016.20150372

测绘学报 ›› 2016, Vol. 45 ›› Issue (4): 434-441.doi: 10.11947/j.AGCS.2016.20150372

HCT变换与联合稀疏模型相结合的遥感影像融合

许宁^1,2,3, 肖新耀^1,2,3, 尤红建^1,2, 曹银贵⁴

1. 中国科学院空间信息处理与应用系统技术重点实验室, 北京 100190;
2. 中国科学院电子学研究所, 北京 100190;
3. 中国科学院大学, 北京 100049;
4. 中国地质大学(北京)土地科学技术学院, 北京 100083

收稿日期:2015-07-14 修回日期:2015-12-16 出版日期:2016-04-20 发布日期:2016-04-28
作者简介:许宁(1982-),男,博士生,研究方向为光学遥感影像配准、融合以及高光谱图像处理。
基金资助:
中国地质调查局地质调查(1212011120226);国家863计划(2012AA12A308);中国科学院科技服务网络计划(KFJ-EW-STS-046)

A Pansharpening Method Based on HCT and Joint Sparse Model

XU Ning^1,2,3, XIAO Xinyao^1,2,3, YOU Hongjian^1,2, CAO Yingui⁴

1. Key Laboratory of Technology in Geo-spatial Information Processing and Application System, IECAS, Beijing 100190, China;
2. Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
3. University of Chinese Academy of Sciences, Beijing 100049, China;
4. School of Land Science and Technology, China University of Geosciences, Beijing 100083, ChinaAbstract

Received:2015-07-14 Revised:2015-12-16 Online:2016-04-20 Published:2016-04-28
Supported by:
The Geological Survey Program of China Geological Survey(No.1212011120226);The National High-tech Research and Development Program of China(863 Program)(No.2012AA12A308);The Science and Technology Services Network Program of Chinese Academy of Sciences(No.KFJ-EW-STS-046)

摘要/Abstract

摘要： 提出了一种基于HCT变换和联合稀疏模型的遥感影像融合方法,可更有效地利用多光谱所需谱段的光谱信息,最终得到所需谱段的融合影像。该方法将所需谱段的多光谱影像进行HCT变换,获取其亮度分量和角度分量;然后利用亮度分量和全色影像小波变换的低频分量进行联合稀疏模型的构建、系数求解和融合,得到融合的全色低频分量;最后将该低频分量与前面步骤所得其他分量分别进行小波逆变换和HCT逆变换,得到高质量的融合影像。试验利用Pleiades-1和WorldView-2两种卫星数据进行验证,并通过视觉效果和量化的融合评价指标进行对比和分析,验证了本文算法的有效性。

关键词: 影像融合, 联合稀疏模型, HCT变换, 全色图像, 多光谱图像

Abstract: A novel fusion method based on the hyperspherical color transformation (HCT) and joint sparsity model is proposed for decreasing the spectral distortion of fused image further. In the method, an intensity component and angles of each band of the multispectral image is obtained by HCT firstly, and then the intensity component is fused with the panchromatic image through wavelet transform and joint sparsity model. In the joint sparsity model, the redundant and complement information of the different images can be efficiently extracted and employed to yield the high quality results. Finally, the fused multi spectral image is obtained by inverse transforms of wavelet and HCT on the new lower frequency image and the angle components, respectively. Experimental results on Pleiades-1 and WorldView-2 satellites indicate that the proposed method achieves remarkable results.

Key words: image fusion, joint sparsity model, HCT, panchromatic image, multispectral image

中图分类号:

P237

许宁, 肖新耀, 尤红建, 曹银贵. HCT变换与联合稀疏模型相结合的遥感影像融合[J]. 测绘学报, 2016, 45(4): 434-441.

XU Ning, XIAO Xinyao, YOU Hongjian, CAO Yingui. A Pansharpening Method Based on HCT and Joint Sparse Model[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(4): 434-441.

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HCT变换与联合稀疏模型相结合的遥感影像融合

A Pansharpening Method Based on HCT and Joint Sparse Model

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