Accession Number : ADP006117
Title : Markov Random Fields: A Strategy for Clutter Modelling,
Corporate Author : ROYAL SIGNALS AND RADAR ESTABLISHMENT MALVERN (UNITED KINGDOM)
Personal Author(s) : Luttrell, Stephen P.
Report Date : MAY 1987
Pagination or Media Count : 8
Abstract : The need for models of image texture (or clutter) is briefly reviewed. The use of detailed physical models is prohibited by the difficulty of characterising the scatter distribution and the scattering process which cause the texture, and so one can resort to phenomenological modelling. Certain statistics of the image are measured, and synthetic images which are consistent with these measurements are generated by a Monte Carlo method - this allows us to test the need for further statistics. The relationship of this scheme is indicated to the well known maximum entropy method for constructing least committal probability distributions. Furthermore we show how a Markov random field model is generated by this process. Finally some methods of selecting useful statistics are suggested which are demonstrated by analysing a synthetic aperture radar image of a wood and a sonar image of the sea bed.
Descriptors : *IMAGE PROCESSING, *ELECTROMAGNETIC SCATTERING, *ACOUSTIC SCATTERING, *SONAR SOUND ANALYZERS, *RADAR REFLECTIONS, MARKOV PROCESSES, MONTE CARLO METHOD, CLUTTER, SYNTHETIC APERTURE RADAR, SYMPOSIA, GREAT BRITAIN.
Subject Categories : Radiofrequency Wave Propagation
Active & Passive Radar Detection & Equipment
Acoustic Detection and Detectors
Distribution Statement : APPROVED FOR PUBLIC RELEASE