DSDS 18
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Browsing DSDS 18 by Author "Corbett, Brandon"
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Item Open Access Diamond From the Sky(Cranfield University, 2018-11-15 13:15) Corbett, BrandonDigital image presented at the 2018 Defence and Security Doctoral Symposium.The image presented is an example of a high resolution airborne Synthetic Aperture Radar (SAR) collection, covering a 1km x 0.6km area above the Harwell Science and Innovation Campus, and includes the UK’s synchrotron Diamond Light Source. The data was collected using Airbus’ X-band quad-polarised SAR airborne platform. In total there were 55609 measurements along the aircraft trajectory, equating to 14GB of measurement data. This raw data was then processed into SAR imagery using parallel processing of the back-projection image formation algorithm using "Cranfield University"’s High Performance Computing facility. The image is a colour composite combining all 4 polarisations. Red represent the vertical polarisation (VV), green represents the horizontal polarisation (HH) and blue is the sum of the cross polarisations (VH and HV). The result is an extremely detailed 30000x18000 pixel SAR image. High resolution datasets like this aid in the development of new image formation and analysis algorithms and provide the user with a clean and clear reference to work with.Item Open Access Utilising Synthetic Aperture Radar Data-dome Collections for Building Feature Analysis(Cranfield University, 2018-11-15 13:15) Corbett, BrandonTechnical paper presented at the 2018 Defence and Security Doctoral Symposium.Low-frequency synthetic aperture radar (LF-SAR) is a remote sensing measurement technique that can aid in covert intelligence gathering capabilities for detecting concealed targets in building, and obscured phenomena in general. The Airbus Defence and Space Ltd LF-SAR data dome project has provided a coherently collected three-dimensional data set using airborne circular SAR (CSAR) trajectories, with the potential of providing volumetric SAR imagery of obscured regions inside buildings. Preliminary results of this collection are presented. Both the linear strip-map and CSAR datasets provided contain a great deal of information. Early results show promise, but have revealed the fundamental challenge with low-frequency remote sensing, that being the presence of radio-frequency interference, which reduces the quality of SAR image products.