A Potential Human Activity Detection Method Based on Multi-polarization InSAR

Abstract

Human activity detection refers to detect, locate and extract potential activities from the observation scene, which employs the coherent change detection (CCD) method to detect the subtle change between two data acquisitions. The polarization information of Synthetic Aperture Radar (SAR) system can represent the scattering characteristics of the target more comprehensively. This paper adopts a coherent change detection method based on multi-polarization interferometric coherence to detect potential human activity in the scene. The effectiveness of the method is further validated by the actual airborne repeat-pass C-band Interferometric Synthetic Aperture Radar (InSAR) data that acquired by the Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS). Moreover, the results are compared with the coherent change detection method based on single-polarization InSAR. The results show that the method proposed in this paper has better detection performance than the traditional coherent change detection method based on single-polarization.