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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lankoande, O. Hayat, M.M. Santhanam, B. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Electr. Comput. & Eng., New Mexico Univ., Albuquerque, NM, USA (Lankoande, O.; Hayat, M.M.; Santhanam, B.) |
| Abstract | A new mathematical framework for modeling speckled imagery is introduced based on embedding the spatial correlation properties of speckled imagery, obtained from statistical optics, into a Markov-random-field (MRP) framework. The model is then used to perform speckle-noise reduction through the utilization of a global energy-minimization algorithm, which consists of simulated annealing in conjunction with the metropolis sampler algorithm. Comparative experimental results using both simulated as well as real synthetic-aperture-radar (SAR) imagery show that the proposed speckle-reduction technique outperforms existing speckle-noise filtering methods. This success is attributable to the ability of the proposed model to capture the physical spatial statistics of speckle within the confines of a MRF framework. |
| File Size | 2334489 |
| File Format | |
| ISBN | 0780391349 |
| DOI | 10.1109/ICIP.2005.1530392 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-09-14 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speckle Synthetic aperture radar Pixel Adaptive optics Optical filters Simulated annealing Optical imaging Noise reduction Mathematical model Filtering |
| Content Type | Text |
| Resource Type | Article |
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