Prototype Theory Based Feature Representation for PolSAR Images

Leida xuebao

Huang Pingping¹  Huang Xiaojing²  Yang Xiangli²  Yang Wen² 

[1] Radar Research Institute, Inner Mongolia University of Technology;School of Electronic Information, Wuhan University;

关键词: Polarimetric Synthetic Aperture Radar (PolSAR);    Feature representation;    Prototype theoryUnsupervised classification;   

DOI  :  10.12000/JR15071

来源: DOAJ

【 摘 要 】

This study presents a new feature representation approach for Polarimetric Synthetic Aperture Radar (PolSAR) image based on prototype theory. First, multiple prototype sets are generated using prototype theory. Then, regularized logistic regression is used to predict similarities between a test sample and each prototype set. Finally, the PolSAR image feature representation is obtained by ensemble projection. Experimental results of an unsupervised classification of PolSAR images show that our method can efficiently represent polarimetric signatures of different land covers and yield satisfactory classification results.

【 授权许可】

Unknown