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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fan Liu Shuyuan Yang Licheng Jiao |
| Copyright Year | 2006 |
| Description | Author affiliation: Inst. of Intelligent Inf. Process., Xidian Univ., Xi'an (Fan Liu; Shuyuan Yang; Licheng Jiao) |
| Abstract | Using SAR images of different spectral bands relative to the same scene can obtain a better knowledge of the scene than the one obtained using only one image. Fusing these images can provide more comprehensive information. In recent years, the fast growth of multiscale geometric analysis (MGA) has brought out abundant tools for image processing, such as curvelet and contourlet transform. In this paper, a novel fusion method based on adaptive selection of wavelet and contourlet coefficients is proposed for SAR image fusion. The main merit of the proposed method is that the wavelet transform can locate sparse of spot strangeness of SAR image effectively and contourlet transform can give a sparse representation of line strangeness, thus it can combine advantages of these tools, and get more details than other methods. The experimental results of four SAR images demonstrate that this algorithm performs better than classical fusion methods both in visual effect and object evaluation |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 4970874 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780395824 |
| DOI | 10.1109/ICR.2006.343411 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image fusion Synthetic aperture radar Wavelet transforms Layout Image analysis Pixel Image processing Wavelet analysis Wavelet packets Radar signal processing Image Fusion Wavelet Contourlet Synthetic Aperture Radar (SAR) |
| Content Type | Text |
| Resource Type | Article |
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