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Visual interpretation of SAR images plays a critical role in remote sensing applications. For obtaining the image suitable for human observation, a new method of visualization for SAR images is proposed in this paper. The proposed algorithm takes a negative exponential transformation on the original SAR image. The parameter of the transformation can be computed rapidly based on the characteristic...
The nonlocal (NL) means filter as a recent denoising approach has demonstrated its empirical merit for additive Gaussian noise. In this paper, a novel Bayesian nonlocal (BNL) means filter is derived, which is adapted to the multiplicative speckle noise. The new filter is better parameterized using the Bayesian framework, in which a new statistical distance is introduced to measure the similarity of...
For an azimuth-invariant bistatic synthetic aperture radar (BiSAR), not only is the secondary range compression dependent on range, but also the range-cell migration in the range-Doppler domain is nonlinearly dependent on range. To get a better focusing performance, the two range-dependent factors must be taken into account in an imaging algorithm. In this letter, a nonlinear chirp-scaling algorithm...
Based on the multi-scale direction characteristics of overcomplete brushlet transform, a feature extraction method called multiresolution grey level co-occurrence probabilities (GLCP) in overcomplete brushlet domain is presented, which makes full use of the direction information in different subbands. The segmentation results of Brodatz mosaics and synthetic aperture radar (SAR) image show that the...
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