点击次数：

论文类型：期刊论文

发表时间：2017-11-01

发表刊物：IET RADAR SONAR AND NAVIGATION

收录刊物：SCIE、EI、Scopus

卷号：11

期号：11

页面范围：1620-1628

ISSN号：1751-8784

关键字：synthetic aperture radar; radar imaging; image classification; radar polarimetry; statistical analysis; polarimetric synthetic aperture radar; PolSAR; collaborative representation classifier; polarimetric SAR image classification; Wishart distance-based joint collaborative representation

摘要：Inspired by collaborative representation classifier (CRC), a Wishart distance-based joint CRC (W-JCRC) is proposed for polarimetric synthetic aperture radar (PolSAR) image classification. Since that neighbouring pixels usually belong to the same category with high probability, they can be simultaneously represented via a joint representation model of linear combinations of labelled samples. The joint collaborative representation of neighbouring pixels can overcome the influence of speckle noise at the same time. Considering the statistical property of PolSAR data, a weighted regularisation term with revised Wishart distance is designed to contain the correlations between unlabelled and labelled samples. The coefficients of representation are estimated by an l(2)-norm minimisation derived closed-form solution. In the experiments, three real PolSAR images are applied to evaluate the performance, and the experimental results demonstrate that the proposed method is able to improve classification accuracies compared with other state-of-the-art methods.