An Integrated Multi\|characteristics Buildings Segmentation Model of PolSAR Images

The existing segmentation methods mostly directly use backscatter coefficient images or span images for segmentation, or a certain kind of polarization characteristic images, and do not make full use of the polarimetric characteristics and spatial characteristics. We propose a buildings segmentation model based on PolSAR images, which makes full use of the polarimetric characteristics and spatial characteristics of buildings by FNEA (fractal network evolutionary algorithm) and MLR (multiple linear regression) model. Using the proposed model to achieve the segmentation of the L\|band EMISAR airborne images in Foulum area. The experimental results show that the segmentation model is feasible.