System Maintenance:
There may be intermittent impact on performance while updates are in progress. We apologize for the inconvenience.
By Topic

First results of quantifying nonlinear mixing effects in heterogeneous forests: A modeling approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Tits, L. ; Dept. of Biosyst., K.U. Leuven, Leuven, Belgium ; Delabastita, W. ; Somers, B. ; Farifteh, J.
more authors

Mixed satellite signals are traditionally modeled as linear combinations of the spectral signatures of its constituent components. Although nonlinearity has been shown to be significant for a variety of vegetation types, it is assumed to be negligible for most applications. We aim to assess the validity of the linear modeling assumption by making a quantitative analysis of the nature of multiple scattering effects in mixed forests. The effects of the spectral properties of the different species, structural differences and differences in tree height are evaluated. Virtual forest scenes and simulated hyperspectral satellite data were created through ray-tracing modeling using the Physically Based Ray-Tracer (PBRT) model. Results showed that both structure and the spectral properties influenced the nonlinear mixing behaviour, indicating that nonlinear unmixing models might be needed for forest cover mapping in heterogeneous forests.

Published in:

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Date of Conference:

22-27 July 2012