Pan-Sharpening Using Weighted Red-Black Wavelet
文献类型：会议论文
| 作者 | Qingjie Liu; Yunhong Wang; Zhaoxiang Zhang ; Lining Liu
|
| 出版日期 | 2012-11-11 |
| 会议日期 | 11-15 November 2012 |
| 会议地点 | Tsukuba, Japan |
| 关键词 | Principal Component Analysis Correlation Remote Sensing Multiresolution Analysis Spatial Resolution Discrete Wavelet Transforms |
| 英文摘要 | In this paper, we propose a new method for remote sensing image pan-sharpening which is based on weighted red-black (WRB) wavelet and adaptive principal component analysis (PCA), where the adaptive PCA is used to reduce spectral distortions and the utilization of WRB wavelet is used to extract the spatial details in PAN images. To reduce the artifacts and spectral distortions in the pan-sharpened images, which were caused by the local instabilities and dissimilarities in the PAN and MS images, a local process strategy incorporating detail enhancement is introduced. The proposed method is tested on two datasets both acquired by QuickBird and compared with the existing methods. Experimental results show that our method can provide promising fused MS images at a high spatial resolution. |
| 会议录 | ICPR 2012
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13263]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 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 Using Weighted Red-Black Wavelet[C]. 见:. Tsukuba, Japan. 11-15 November 2012. |
入库方式： OAI收割
来源：自动化研究所
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