DocumentCode
1699428
Title
Cross-section estimation and image segmentation by simulated annealing
Author
White, R.G.
Author_Institution
DRA, Malvern, UK
fYear
1993
fDate
6/15/1905 12:00:00 AM
Firstpage
42644
Abstract
To cope with the problem of data inhomogeneity one requires some form of automatic parameter estimation and, if the data parameterisation allows, some form of segmentation. Ideally this parameter or cross-section estimation algorithm should be capable of adapting to the local statistics in such a way that it may cope with potentially different parameterisations for different image resolutions. An algorithm based on simulated annealing which is capable of providing accurate estimations of either radar cross-section, at high resolution, or other texture parameters at lower resolution is presented. Example segmentations produced by these smoothing operations are also presented. These results are presented visually
Keywords
image segmentation; parameter estimation; radar cross-sections; simulated annealing; automatic parameter estimation; cross-section estimation algorithm; data inhomogeneity; image resolutions; image segmentation; local statistics; radar cross-section; simulated annealing; smoothing operations; texture parameters;
fLanguage
English
Publisher
iet
Conference_Titel
Texture analysis in radar and sonar, IEE Seminar on
Conference_Location
London
Type
conf
Filename
280150
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