Pan-sharpening based on weighted red black wavelets | |
Qingjie Liu; Yunhong Wang; Zhaoxiang Zhang![]() | |
刊名 | IET Image Processing
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2014-07-31 | |
卷号 | 8期号:8页码:477-488 |
关键词 | Wavelet Transforms Image Fusion Image Resolution Principal Component Analysis Spectral Analysis |
英文摘要 | Pan-sharpening is a technique which provides an efficient and economical solution to generate multi-spectral (MS) images with high-spatial resolution by fusing spectral information in MS images and spatial information in panchromatic (PAN) image. In this study, the authors propose a new pan-sharpening method based on weighted red-black (WRB) wavelets and adaptive principal component analysis (PCA), where the usage of WRB wavelet decomposition is to extract the spatial details in PAN image and the adaptive PCA is used to select the adequate principal component for injecting spatial details. WRB wavelets are data-dependent second generation wavelets. Multi-resolution analysis (MRA) based on WRB wavelet transform shows a better de-correlation of the data compared with common linear translation-invariant MRA, which makes it suitable for applications requiring manipulating image details. A local processing strategy is introduced to reduce the artefact effects and spectral distortions in the pan-sharpened images. The proposed method is evaluated on the datasets acquired by QuickBird, IKONOS and Landsat-7 ETM + satellites and compared with existing methods. Experimental results demonstrate that the authors method can provide promising fused MS images with high-spatial resolution. |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/13220] ![]() |
专题 | 自动化研究所_类脑智能研究中心 |
通讯作者 | Zhaoxiang Zhang |
推荐引用方式 GB/T 7714 | Qingjie Liu,Yunhong Wang,Zhaoxiang Zhang,et al. Pan-sharpening based on weighted red black wavelets[J]. IET Image Processing,2014,8(8):477-488. |
APA | Qingjie Liu,Yunhong Wang,Zhaoxiang Zhang,&Lining Liu.(2014).Pan-sharpening based on weighted red black wavelets.IET Image Processing,8(8),477-488. |
MLA | Qingjie Liu,et al."Pan-sharpening based on weighted red black wavelets".IET Image Processing 8.8(2014):477-488. |
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