Radar scattering statistics for digital terrain models

Kelce Wilson; Dale Patrick; James Blair

doi:10.1117/12.607734

25 May 2005 Radar scattering statistics for digital terrain models

Kelce Wilson, Dale Patrick, James Blair

Proceedings Volume 5811, Targets and Backgrounds XI: Characterization and Representation; (2005) https://doi.org/10.1117/12.607734
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

The statistic results for a digital terrain model are presented that closely match measurements for 77% of the 189 possible combinations of 7 radar bands, 3 polarizations, and 9 terrain types. The model produces realistic backscatter coefficient values for the scenarios over all incidence angles from normal to grazing. The generator was created using measured data sets reported in the Handbook of Radar Scattering Statistics for Terrain covering L, C, S, X, Ka, Ku, and W frequency bands; HH, HV, and VV polarizations; and soil and rock, shrub, tree, short vegetation, grass, dry snow, wet snow, road surface, and urban area terrain types. The first two statistical moments match published values precisely, and a Chi-Square histogram test failed to reject the generator at a 95% confidence level for the 146 terrain models implemented. A Sea State model provides the grazing angle extension for predictions beyond the available measurements. This work will contain a comprehensive set of plots of mean and standard deviation versus incidence angle.

Citation Download Citation

Kelce Wilson, Dale Patrick, and James Blair "Radar scattering statistics for digital terrain models", Proc. SPIE 5811, Targets and Backgrounds XI: Characterization and Representation, (25 May 2005); https://doi.org/10.1117/12.607734

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available