Statistical Analysis of VHF-Band Tree Backscattering Using Forest Ground Truth Data and PO Scattering Model
Journal article, 2011

This paper analyzes the statistical properties of the very high frequency (VHF)-band radar backscattering from coniferous trees by incorporating forest ground truth data into a physical-optics (PO) model that assumes horizontally transmit and receive polarizations and dominant double-bounce scattering from vertical stems standing on an undulating ground surface. The analysis shows that a statistically adequate model for the tree backscattering amplitude can be presented as a mixture of generalized gamma or lognormal distribution, and the mixture model can be reduced to a single density model if the trees with trunk volumes exceeding an appropriate threshold are to be taken into account. The generalized gamma density is shown to provide an appreciably better fit to the exceedance functions associated with the PO model data than that for the lognormal density. The results can be used to design statistically adequate models of forest clutter for VHF synthetic aperture radar systems.

coniferous forest

lognormal distribution

radar cross section (RCS)

very high frequency (VHF)

finite mixture model

physical-optics (PO)

generalized gamma distribution

Backscattering

synthetic aperture radar (SAR)

Author

Anatoliy Kononov

Chalmers, Earth and Space Sciences, Radar Remote Sensing

Annelie Wyholt

Chalmers, Earth and Space Sciences, Radar Remote Sensing

Gustaf Sandberg

Chalmers, Earth and Space Sciences, Radar Remote Sensing

Lars Ulander

Chalmers, Earth and Space Sciences, Radar Remote Sensing

IEEE Transactions on Geoscience and Remote Sensing

0196-2892 (ISSN)

Vol. 49 8 3035-3046 5743001

Driving Forces

Sustainable development

Subject Categories

Computational Mathematics

Agricultural Science

Probability Theory and Statistics

DOI

10.1109/TGRS.2011.2116158

More information

Created

10/7/2017