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Proceedings Paper

Remote sensing image segmentation based on game theory
Author(s): Hong Chen; Weiqiang Liu; Deshen Xia; Jun Xie
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Paper Abstract

According to the characteristics of the remote sensing image, the problem of segmentation can be converted to the problem of symbolizing, and finally converted to the solution of Maximum A Posterior (MAP). The global optimum can be found by the algorithm of Simulated Annealing (SA), but it requires a large amount of computations. So sub-optimal algorithm is often used. In this paper we provide a decisive algorithm which is based on 'Game Theory' and prove that it can converge to a local optimum. Because the image we got has too many fragments, we use a grid-algorithm to improve the segmented image and the good result has been got in the experiment.

Paper Details

Date Published: 6 December 1999
PDF: 6 pages
Proc. SPIE 3759, Infrared Spaceborne Remote Sensing VII, (6 December 1999); doi: 10.1117/12.372687
Show Author Affiliations
Hong Chen, Institute of Physics (China)
Weiqiang Liu, Nanjing Univ. of Science and Technology (China)
Deshen Xia, Nanjing Univ. of Science and Technology (China)
Jun Xie, Nanjing Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 3759:
Infrared Spaceborne Remote Sensing VII
Marija Strojnik; Bjorn F. Andresen, Editor(s)

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