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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Huiqian Du Yanfang Ren Wenbo Mei |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electron. Eng., Beijing Inst. of Technol. (Huiqian Du; Yanfang Ren; Wenbo Mei) |
| Abstract | The presence of speckle noise hinders observers from acquiring information of SAR images. It is desirable to remove speckle noise without features destroyed. In this paper, a PDE (partial differential equation) based method is presented to suppress the speckle noise. Unlike Perona & Malik's method, standard gradient is introduced to distinguish between the continuous areas and edges in SAR images. Since standard gradient makes use of the statistical information to locate the edges its application in PDE brings better image enhancement results. To demonstrate the performance of our method, we apply it to real SAR images. The experiment results show that the method reduces speckle and keeps important features simultaneously |
| File Size | 579907 |
| File Format | |
| ISBN | 0780397363 |
| DOI | 10.1109/ICOSP.2006.345610 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-11-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speckle Filters Image edge detection Image enhancement Noise reduction Partial differential equations Spatial resolution Anisotropic magnetoresistance Synthetic aperture radar High-resolution imaging |
| Content Type | Text |
| Resource Type | Article |
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