Kurekin, A, Radford, D, Level, K, Marshall, D and Shark, Lik-Kwan (2011) A new method for generating site-specific clutter map for land based radar by using multimodal remote sensing images and digital terrain data. IET Radar, Sonar and Navigation, 5 (3). pp. 374-388. ISSN 1751-8784
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Official URL: http://dx.doi.org/10.1049/iet-rsn.2010.0036
By using multimodal remote-sensing images and digital terrain data of the environment, this study presents a new method for generating the clutter map specific to the selected land radar site and the radar’s operating parameters. In the proposed method, the estimation of backscattering from the environment involves extrapolation of the airborne radar remote-sensing image to provide a detailed description of terrain types, use of digital terrain elevation data with the land radar position and height to provide local grazing angles and a terrain visibility map and use of the digital topographic map to provide the geometric reference for all data sets. Using actual remote-sensing images and digital terrain data acquired from a real environment with various terrain features, the clutter map generated by the proposed method for land based radar is compared with that generated by a comprehensive modelling method, The accuracy of the proposed method is demonstrated based on the differences with respect the actual clutter measurements using a different airborne radar-sensing configuration.
|Uncontrolled Keywords (separate with ;):||site-specific clutter map; land-based radar; multimodal remote-sensing images; digital terrain data; backscattering estimation; airborne radar; multispectral remote-sensing satellite image classification; land radar position; digital topographic map; terrain visibility map; local grazing angles; comprehensive modelling method; clutter measurements|
|Subjects:||T Technology > T Technology (General)|
|Schools:||College of Science and Technology > School of Engineering|
|Deposited By:||Lik Shark|
|Deposited On:||28 Mar 2012 13:41|
|Last Modified:||26 Aug 2015 14:27|
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