Through‐wall detection and imaging of a vibrating target using synthetic aperture radar. Issue 15 (1st July 2017)

• Record Type: Journal Article
• Authors: Corbett, B.; Andre, D.; Finnis, M.
• Is Part Of: Electronics letters. Volume 53:Issue 15(2017)
• Page Start: 991
• Page End: 995
• Publication Date: 2017-07-01
• Subjects: image fusion -- image segmentation -- learning (artificial intelligence) -- statistical analysis -- real‐time systems; enhanced decision fusion -- semantically segmented images -- local majority saliency map -- ensemble machine learning schemes -- voting algorithm -- statistical perspective -- decision redundancy -- real‐time systems -- uncertainty challenges -- saliency map generation -- local majority filter -- pixel labelling -- random decision forest model -- intermediate labelled images -- voting pool; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2017.1570
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : The development of a through‐wall synthetic aperture radar (SAR) simulator, which is being used to investigate the SAR artefacts originating from vibrating target's, known as paired echoes is explained. The simulation and experimental results both show that paired echoes can be detected and imaged through a wall, with a noticeable reduction in intensity, resulting in the number of visible echoes to be reduced in brightness and appear shifted in location in a through‐wall SAR image.