Utilising Synthetic Aperture Radar Data-dome Collections for Building Feature Analysis
datasetposted on 15.11.2018 by Brandon Corbett
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Technical 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.