Multiscale MAP filtering of SAR images

Synthetic aperture radar (SAR) images are disturbed by a multiplicative noise depending on the signal (the ground reflectivity) due to the radar wave coherence. Images have a strong variability from one pixel to another reducing essentially the efficiency of the algorithms of detection and classific...

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Bibliographic Details
Published in:IEEE transactions on image processing 2001-01, Vol.10 (1), p.49-60
Main Authors: Foucher, S., Benie, G.B., Boucher, J.-M.
Format: Article
Language:English
Subjects:
Adaptive filters
Applied sciences
Coefficients
Coherence
Exact sciences and technology
Filtering
Fundamental areas of phenomenology (including applications)
Image forming and processing
Image processing
Imaging and optical processing
Information, signal and communications theory
Noise
Optics
Physics
Pixel
Probability density function
Probability density functions
Radar detection
Radar imaging
Reflectivity
Services and terminals of telecommunications
Signal processing
Synthetic aperture radar
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Telemetry. Remote supervision. Telewarning. Remote control
Telemetry: remote control, remote sensing
radar
Wavelet
Wavelet coefficients
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Summary:Synthetic aperture radar (SAR) images are disturbed by a multiplicative noise depending on the signal (the ground reflectivity) due to the radar wave coherence. Images have a strong variability from one pixel to another reducing essentially the efficiency of the algorithms of detection and classification. We propose to filter this noise with a multiresolution analysis of the image. The wavelet coefficient of the reflectivity is estimated with a Bayesian model, maximizing the a posteriori probability density function. The different probability density function are modeled with the Pearson system of distributions. The resulting filter combines the classical adaptive approach with wavelet decomposition where the local variance of high-frequency images is used in order to segment and filter wavelet coefficients.
ISSN:1057-7149
1941-0042
DOI:10.1109/83.892442