By Topic

A residual-based technique for the estimation of biophysical parameters from remote-sensing images

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
$33 $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

2 Author(s)
F. Melgani ; Dept. of Inf. & Commun. Technol., Trento Univ., Italy ; L. Bruzzone

In this paper, we address the problem of biophysical parameter estimation from measurements acquired by remote sensors. The objective of this work is to define the robust estimation method, which is characterized by a high accuracy over the whole feature space. In particular, we present a novel estimation technique that is based on the exploitation of the systematic errors (residuals) generated by an estimator trained to approximate the relationship between the remote-sensing measurements and the biophysical parameter of interest. The proposed Residual-Based Estimation (RBE) technique was applied to the problem of estimating water quality parameters, with a particular focus on the measure of concentration of chlorophyll. Experimental results pointed out the effectiveness of the RBE technique, which significantly increased the estimation accuracy with respect to the different kinds of standard neural-network estimators.

Published in:

Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International  (Volume:1 )

Date of Conference:

21-25 July 2003