6 December 1999 Remote sensing image segmentation based on game theory
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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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hong Chen, Hong Chen, Weiqiang Liu, Weiqiang Liu, Deshen Xia, Deshen Xia, Jun Xie, Jun Xie, } "Remote sensing image segmentation based on game theory", Proc. SPIE 3759, Infrared Spaceborne Remote Sensing VII, (6 December 1999); doi: 10.1117/12.372687; https://doi.org/10.1117/12.372687

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