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Game Theory based Framework for Synthetic Aperture Radar Image De-noising and Change Detection
2015
International Journal of Signal Processing, Image Processing and Pattern Recognition
In this paper, we propose a novel game theory based framework for synthetic aperture radar image de-noising and segmentation based change detection. We find out the balance of the two aspects. The Nash game theory helps us find out the balance of segmentation accuracy and overall de-noising performance. In the de-noising part, we adopt the multi-diagonal matrix filter based algorithm to undertake the de-noising mission. Segmentation and change detection are finalized by the state-of-the-art
doi:10.14257/ijsip.2015.8.4.17
fatcat:b6zzrb2xvrfgxnp6rqzrjdht4a