Back to Search
Start Over
SAR image filtering based on the heavy-tailed Rayleigh model
- Source :
- 13th European Signal Processing conference, Antalya, 4-8 september 2005, info:cnr-pdr/source/autori:Achim A.; Kuruoglu E.E.; Zerubia J./congresso_nome:13th European Signal Processing conference/congresso_luogo:Antalya/congresso_data:4-8 september 2005/anno:2005/pagina_da:/pagina_a:/intervallo_pagine, IEEE transactions on image processing 15 (2006): 2686–2693. doi:10.1109/TIP.2006.877362, info:cnr-pdr/source/autori:Achim A.; Kuruoglu E. E.; Zerubia J./titolo:SAR image filtering based on the heavy-tailed rayleigh model/doi:10.1109%2FTIP.2006.877362/rivista:IEEE transactions on image processing/anno:2006/pagina_da:2686/pagina_a:2693/intervallo_pagine:2686–2693/volume:15
- Publication Year :
- 2006
-
Abstract
- Synthetic aperture radar (SAR) images are inherently affected by a signal dependent noise known as speckle, which is due to the radar wave coherence. In this paper, we propose a novel adaptive despeckling filter and derive a maximum a posteriori (MAP) estimator for the radar cross section (RCS). We first employ a logarithmic transformation to change the multiplicative speckle into additive noise. We model the RCS using the recently introduced heavy-tailed Rayleigh density function, which was derived based on the assumption that the real and imaginary parts of the received complex signal are best described using the alpha-stable family of distribution. We estimate model parameters from noisy observations by means of second-kind statistics theory, which relies on the Mellin transform. Finally, we compare the proposed algorithm with several classical speckle filters applied on actual SAR images. Experimental results show that the homomorphic MAP filter based on the heavy-tailed Rayleigh prior for the RCS is among the best for speckle removal.
- Subjects :
- Synthetic aperture radar
Radar cross-section
Computer science
0211 other engineering and technologies
Information Storage and Retrieval
Image processing
02 engineering and technology
law.invention
Speckle pattern
symbols.namesake
Imaging, Three-Dimensional
law
Radar imaging
Statistics
Image Interpretation, Computer-Assisted
0202 electrical engineering, electronic engineering, information engineering
Maximum a posteriori estimation
Heavy-tailed Rayleigh distribution
Computer Simulation
Rayleigh scattering
Radar
Statistical computing
021101 geological & geomatics engineering
alpha stable distribution
Mellin transform
Likelihood Functions
Models, Statistical
speckle noise
Speckle noise
Filter (signal processing)
Image Enhancement
Computer Graphics and Computer-Aided Design
Adaptive filter
Probability and statistics
Computer Science::Graphics
SAR image
Probability and statistics. Distribution functions
symbols
020201 artificial intelligence & image processing
Algorithm
Software
Algorithms
Subjects
Details
- ISSN :
- 10577149
- Volume :
- 15
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
- Accession number :
- edsair.doi.dedup.....05d38a9d619f8fb0baa0f2f5e6587c26