Title: Generic wavelet-based hyperspectral classification applied to vegetation stress detection
Authors: Kempeneers, P ×
de Backer, S
Debruyn, W
Coppin, Pol
Scheunders, P #
Issue Date: Mar-2005
Publisher: Ieee-inst electrical electronics engineers inc
Series Title: IEEE Transactions on geoscience and remote sensing vol:43 issue:3 pages:610-614
Abstract: This communication studies the detection of vegetation stress in hyperspectral data. Compared to traditional vegetation stress indices, the proposed approach uses the complete reflectance spectrum and its wavelet representation. The detection strategy is formulated as a classification problem. Experiments are conducted on fruit tree stress detection. The experiments show the superior performance of the proposed strategy and demonstrate its generic nature.
ISSN: 0196-2892
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Division M3-BIORES: Measure, Model & Manage Bioresponses (-)
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science