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SAR-image classification with a directional-oriented discrete Hermite transform and Markov random fields | IEEE Conference Publication | IEEE Xplore

SAR-image classification with a directional-oriented discrete Hermite transform and Markov random fields


Abstract:

A novel classification scheme for SAR images based on the perceptual classification of image patterns in the discrete Hermite transform (DHT) domain over a roughly hexago...Show More

Abstract:

A novel classification scheme for SAR images based on the perceptual classification of image patterns in the discrete Hermite transform (DHT) domain over a roughly hexagonal sampling lattice has been developed. In order to obtain the DHT referred to a rotated coordinate system the set of coefficients of a given order are mapped through a unitary transformation based on the generalized binomial function. This representation allows a perceptual classification, including constant patterns (0-D), oriented structures (1-D), and non-oriented structures (2-D). Classification is based on light adaptation and contrast masking properties of the human vision. Finally, classification is improved by means of a probabilistic approach based on Markov random fields.
Date of Conference: 21-25 July 2003
Date Added to IEEE Xplore: 10 May 2004
Print ISBN:0-7803-7929-2
Conference Location: Toulouse, France

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