Share Email Print

Proceedings Paper

Site-specific land clutter modelling based on radar remote sensing images and digital terrain data
Author(s): Andriy Kurekin; Lik-Kwan Shark; Kenneth Lever; Darren Radford; Dave Marshall
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper extends the range of radar remote sensing applications by considering the application of remote sensing radar images for site-specific land clutter modelling. Data fusion plays a central role in our approach, and enables effective combination of remote sensing radar measurements with incomplete information about the Earth's surface provided by optical sensors and digital terrain maps. The approach uses airborne remote sensing radar measurements to predict clutter intensity for different terrain coordinates and utilises an empirical backscattering model to interpolate radar measurements to grazing angles employed by land-based radar sensor. The practical aspects of the methodology application for real-life remote sensing data and generation of a land clutter map of the test site at X-band are discussed.

Paper Details

Date Published: 23 October 2010
PDF: 12 pages
Proc. SPIE 7830, Image and Signal Processing for Remote Sensing XVI, 783013 (23 October 2010); doi: 10.1117/12.864692
Show Author Affiliations
Andriy Kurekin, Plymouth Marine Lab. (United Kingdom)
Lik-Kwan Shark, Univ. of Central Lancashire (United Kingdom)
Kenneth Lever, Cardiff Univ. (United Kingdom)
Darren Radford, General Dynamics UK Ltd. (United Kingdom)
Dave Marshall, Cardiff Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 7830:
Image and Signal Processing for Remote Sensing XVI
Lorenzo Bruzzone, Editor(s)

© SPIE. Terms of Use
Back to Top