Markov Random Fields: A Strategy for Clutter Modelling,
ROYAL SIGNALS AND RADAR ESTABLISHMENT MALVERN (UNITED KINGDOM)
Pagination or Media Count:
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.
- Radiofrequency Wave Propagation
- Active and Passive Radar Detection and Equipment
- Acoustic Detection and Detectors