Scene estimation from speckled synthetic aperture radar imagery: Markov-random-field approach
JOSA A, Vol. 23, Issue 6, pp. 1269-1281 (2006)
http://dx.doi.org/10.1364/JOSAA.23.001269
Enhanced HTML 
Acrobat PDF (1440 KB)
Abstract
A novel Markov-random-field model for speckled synthetic aperture radar (SAR) imagery is derived according to the physical, spatial statistical properties of speckle noise in coherent imaging. A convex Gibbs energy function for speckled images is derived and utilized to perform speckle-compensating image estimation. The image estimation is formed by computing the conditional expectation of the noisy image at each pixel given its neighbors, which is further expressed in terms of the derived Gibbs energy function. The efficacy of the proposed technique, in terms of reducing speckle noise while preserving spatial resolution, is studied by using both real and simulated SAR imagery. Using a number of commonly used metrics, the performance of the proposed technique is shown to surpass that of existing speckle-noise-filtering methods such as the Gamma MAP, the modified Lee, and the enhanced Frost.
© 2006 Optical Society of America
OCIS Codes
(030.0030) Coherence and statistical optics : Coherence and statistical optics
(100.0100) Image processing : Image processing
(110.0110) Imaging systems : Imaging systems
(280.0280) Remote sensing and sensors : Remote sensing and sensors
ToC Category:
Atmospheric and Oceanic Optics
History
Original Manuscript: June 1, 2005
Revised Manuscript: November 21, 2005
Manuscript Accepted: December 18, 2005
Citation
Ousseini Lankoande, Majeed M. Hayat, and Balu Santhanam, "Scene estimation from speckled synthetic aperture radar imagery: Markov-random-field approach," J. Opt. Soc. Am. A 23, 1269-1281 (2006)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-23-6-1269
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
Related Journal Articles 
- Extraction of Motion Parameters of Gravity-Wave Structures from All-Sky OH Image Sequences (AO)
- Cramer-Rao bound and phase-diversity blind deconvolution performance versus diversity polynomials (AO)
- Polarization in Remote Sensing--introduction (AO)
- Advanced image processing and wavefront sensing with real-time phase diversity (AO)
- Extending the depth of field through unbalanced optical path difference (AO)
Related Conference Papers
- Phase-Space Representations for Phase-Engineering
- The Quantized Cosine Transform for Sensor-Layer Image Compression
- Demonstration of a Broadband Microwave Imager Using Spectral Hole Burning as a Narrowband Image Sieve
- The Quantized Cosine Transform for Sensor-Layer Image Compression
- Computing the 3-D Structure of Viruses from Electron Microscope Images
« Previous Article | Next Article »
OSA is a member of 