Multivariate Change Detection on High Resolution Monovariate SAR Image Using Linear Time-Frequency Analysis

Abstract

In this paper, we propose a novel methodology for Change Detection between two monovariate complex SAR images. Linear Time-Frequency tools are used in order to recover a spectral and angular diversity of the scatterers present in the scene. This diversity is used in bi-date change detection framework to develop a detector, whose performances are better than the classic detector on monovariate SAR images.

Publication
In 2017 25th European Signal Processing Conference (EUSIPCO)
Ammar Mian
Ammar Mian
Associate professor

Associate professor at Université Savoie Mont Blanc in Signal processing

Related