Title
Classification and feature extraction of AVIRIS data
Abstract
The processing of Airborne Visible-Infrared Imaging Spectrometer (AVIRIS) data is discussed both in terms of feature extraction and classification. The recently proposed decision boundary feature extraction method is reviewed and then applied in experiments. Results of classifications for AVIRIS data from Iceland 1991 are given with emphasis on geological applications. The classifiers used include...
Year
DOI
Venue
1995
10.1109/36.469483
IEEE Transactions on Geoscience and Remote Sensing
Keywords
Field
DocType
Feature extraction,Neural networks,Geology,Covariance matrix,Optical imaging,Spectroscopy,Remote sensing,Data mining,Graphics,Information processing
Graphics,Computer vision,Imaging spectrometer,Remote sensing,Feature extraction,Artificial intelligence,Covariance matrix,Contextual image classification,Artificial neural network,Decision boundary,Mathematics,Airborne visible/infrared imaging spectrometer
Journal
Volume
Issue
ISSN
33
5
0196-2892
Citations 
PageRank 
References 
28
4.08
6
Authors
4
Name
Order
Citations
PageRank
J. A. Benediktsson186083.81
Johannes R. Sveinsson2115095.58
K. Amason3284.08
K. Arnason4284.08