DSDS 18
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Browsing DSDS 18 by Author "Elgy, James"
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Item Open Access Non-Invasive Determination of Wall Structure and Material Using Synthetic Aperture Radar(Cranfield University, 2018-11-15 17:16) Elgy, James3MT presented at the 2018 Defence and Security Doctoral Symposium.Through-Wall remote sensing has become an area of great interest in both civilian and military sectors, with uses ranging from search and rescue to the assessment of the insulation used in building construction. Low frequency Synthetic Aperture Radar (SAR) is an attractive option due to its long-range, all-weather and non-destructive nature, with different radar modalities each providing useful information. Unfortunately, in a through-wall scenario, radar accuracy is inherently decreased due to the electrical properties of the wall material, leading to defocused and distorted images. Funded in part by Dstl, this research focuses on the remote determination of the thickness and refractive index of walls, through the use of different radar measuring geometries. In addition to providing useful auxiliary information, the knowledge of the wall properties can be used to improve the quality of through-wall SAR imagery and to address some of the fundamental limitations of the technology .Item Open Access X Ray Eyes: Seeing Through Walls Using Radar(Cranfield University, 2018-11-15 10:39) Elgy, JamesDigital Image presented at the 2018 Defence and Security Doctoral Symposium.This image represents current research into ground-based applications of radar imaging in a through-wall context. Utilising different measurement geometries and signal processing, the aim is to gather and disseminate low-frequency synthetic aperture radar data to identify building structure and content. This image shows volumetric synthetic aperture radar data gathered in a multistatic modality, i.e. where there are two independent receiving antennas, both on the far side of the wall. This is superimposed onto a photograph of the same area, showing good agreement between the visual and radar images. For clarity, the point cloud has been segmented into different regions, each given a separate colour. Red represents the two metal barrels, blue shows the desk area whilst green represents the wall signature.