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Adaptive Spatial Constraint Sparse Representation for Target Detection in Polsar Image

Sparse representation(SR) has great application prospects in target detection of PolSAR image. Considering that traditional SR not fully combines the characteristics of PolSAR, this paper proposes a target detection method for PolSAR image based on adaptive spatial constraint SR model, which effectively combines intrinsic polarimetric information of PolSAR and the spatial information of the image. The proposed method segments the image using the Mean Shift method, and adaptively combines the neighborhood pixel with the segmented domain information to establish the adaptive spatial constraint SR model to implement target detection of PolSAR image, which simultaneously combines the polarimetric properties and spatial information of PolSAR. The experimental data is L-band fully polarimetric EMISAR of Foulum and the results show the feasibility of the proposed algorithm.