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Algorithms For Segmentation Of Complex-Amplitude SAR DataSeveral algorithms implement improved method of segmenting highly speckled, high-resolution, complex-amplitude synthetic-aperture-radar (SAR) digitized images into regions, within each backscattering characteristics similar or homogeneous from place to place. Method provides for approximate, deterministic solution by two alternative algorithms almost always converging to local minimums: one, Iterative Conditional Modes (ICM) algorithm, which locally maximizes posterior probability density of region labels; other, Maximum Posterior Marginal (MPM) algorithm, which maximizes posterior marginal density of region labels at each pixel location. ICM algorithm optimizes reconstruction of underlying scene. MPM algorithm minimizes expected number of misclassified pixels, possibly better in remote sensing of natural scenes.
Document ID
19930000310
Acquisition Source
Legacy CDMS
Document Type
Other - NASA Tech Brief
Authors
Rignot, Eric J. M.
(Caltech)
Chellappa, Ramalingam
(Caltech)
Date Acquired
August 16, 2013
Publication Date
June 1, 1993
Publication Information
Publication: NASA Tech Briefs
Volume: 17
Issue: 6
ISSN: 0145-319X
Subject Category
Electronic Systems
Report/Patent Number
NPO-18524
Accession Number
93B10310
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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