Abstract | ||
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In this paper, we introduce the homomorphic /spl Gamma/-WMAP (wavelet maximum a posteriori) filter, a wavelet-based statistical speckle filter equivalent to the well known /spl Gamma/-MAP filter. We perform a logarithmic transformation in order to make the speckle contribution additive and statistically independent of the radar cross section. Further, we propose to use the normal inverse Gaussian ... |
Year | DOI | Venue |
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2004 | 10.1109/TGRS.2003.821885 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Speckle,Filters,Filtering,Wavelet coefficients,AWGN,Radar cross section,Noise reduction,Wavelet transforms,Gaussian noise,Statistics | Computer vision,Speckle pattern,Synthetic aperture radar,Remote sensing,Filter (signal processing),Smoothing,Statistical model,Artificial intelligence,Homomorphic filtering,Mathematics,Wavelet,Wavelet transform | Journal |
Volume | Issue | ISSN |
42 | 4 | 0196-2892 |
Citations | PageRank | References |
30 | 2.23 | 15 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Stian Solbo | 1 | 54 | 5.55 |
T. Eltoft | 2 | 167 | 11.37 |