Detection Methods Based on Structured Covariance Matrices for Multivariate SAR Images Processing
IEEE Geoscience and Remote Sensing Letters(2019)
摘要
Testing the similarity of covariance matrices (CMs) from groups of observations has been shown to be a relevant approach for change and/or anomaly detection in synthetic aperture radar images. Although the term “similarity” usually refers to equality or proportionality, we explore the testing of shared properties in the structure of low rank (LR) plus identity CM, which are appropriate for radar p...
更多查看译文
关键词
Testing,Synthetic aperture radar,Detectors,Indexes,Covariance matrices,Image processing,Optimization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要