Site-specific land clutter modelling based on radar remote sensing images and digital terrain data

Andriy Kurekin; Lik-Kwan Shark; Kenneth Lever; Darren Radford; Dave Marshall

doi:10.1117/12.864692

23 October 2010 Site-specific land clutter modelling based on radar remote sensing images and digital terrain data

Andriy Kurekin, Lik-Kwan Shark, Kenneth Lever, Darren Radford, Dave Marshall

Proceedings Volume 7830, Image and Signal Processing for Remote Sensing XVI; 783013 (2010) https://doi.org/10.1117/12.864692
Event: SPIE Remote Sensing, 2010, Toulouse, France

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.

Citation Download Citation

Andriy Kurekin, Lik-Kwan Shark, Kenneth Lever, Darren Radford, and Dave Marshall "Site-specific land clutter modelling based on radar remote sensing images and digital terrain data", Proc. SPIE 7830, Image and Signal Processing for Remote Sensing XVI, 783013 (23 October 2010); https://doi.org/10.1117/12.864692

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