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Proceedings Paper

Physical parameter effects on radar backscatter using principal component analysis
Author(s): Hean Teik Chuah; K. B. Teh
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Paper Abstract

This paper contains a sensitivity analysis of the effects of physical parameters on radar backscatter coefficients from a vegetation canopy using the method of principal component analysis. A Monte Carlo forward scattering model is used to generate the necessary data set for such analysis. The vegetation canopy is modeled as a layer of randomly distributed circular disks bounded below by a Kirchhoff rough surface. Data reduction is accomplished by the statistical principal component analysis technique in which only three principal components are found to be sufficient, containing 97% of the information in the original set. The first principal component can be interpreted as volume-volume backscatter, while the second and the third as surface backscatter and surface-volume backscatter, respectively. From the correlation matrix obtained, the sensitivity of radar backscatter due to various physical parameters is investigated. These include wave frequency, moisture content, scatterer's size, volume fraction, ground permittivity and surface roughness.

Paper Details

Date Published: 30 December 1994
PDF: 10 pages
Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); doi: 10.1117/12.196774
Show Author Affiliations
Hean Teik Chuah, Univ. of Malaya (Malaysia)
K. B. Teh, Univ. of Malaya (Malaysia)


Published in SPIE Proceedings Vol. 2315:
Image and Signal Processing for Remote Sensing
Jacky Desachy, Editor(s)

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