Share Email Print
cover

Proceedings Paper

Evaluation of BRDF modeling for statistical classification of remotely sensed images
Author(s): Patrick F. Valdez; Gregory W. Donohoe; Sheila E. Motomatsu
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

Reflectance characteristics of typical Earth surface materials are strongly dependent on the incident illumination angle of the sun and viewing geometry of the sensor to the scene. This relationship is summarized in the bidirectional reflectance distribution function (BRDF) of the surface material under investigation. The BRDF, defined to be the ratio of reflected radiance to the incident radiant flux density striking a surface, cannot be measured directly in an operational setting. Laboratory measurements of surface BRDF are possible but tend to be tedious and time consuming. Consequently, the BRDF is often specified with models applied to laboratory spectra obtained under ideal and controlled conditions. In this paper, we evaluate the utility of BRDF modeling in statistical classification/discrimination of Earth surface materials by considering the bidirectional reflectance for multiple viewing angle configurations and the resulting separability between classes.

Paper Details

Date Published: 13 November 1996
PDF: 10 pages
Proc. SPIE 2819, Imaging Spectrometry II, (13 November 1996); doi: 10.1117/12.258058
Show Author Affiliations
Patrick F. Valdez, Univ. of New Mexico (United States)
Gregory W. Donohoe, Univ. of New Mexico (United States)
Sheila E. Motomatsu, Sandia National Labs. (United States)


Published in SPIE Proceedings Vol. 2819:
Imaging Spectrometry II
Michael R. Descour; Jonathan Martin Mooney, Editor(s)

© SPIE. Terms of Use
Back to Top