Remote sensing image segmentation based on game theory
Hong Chen, Weiqiang Liu, Deshen Xia, Jun Xie · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1999
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.