Classification and feature extraction of AVIRIS data

Author

Benediktsson, Jon Atli ; Sveinsson, Johannes R. ; Amason, K.

Author_Institution

Eng. Res. Inst., Iceland Univ., Reykjavik, Iceland

Volume

33

Issue

5

fYear

1995

fDate

9/1/1995 12:00:00 AM

Firstpage

1194

Lastpage

1205

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 neural network methods and statistical approaches. The decision boundary feature extraction method shows excellent performance for these data

Keywords

feature extraction; geophysical signal processing; geophysical techniques; image classification; infrared imaging; neural nets; optical information processing; remote sensing; vector quantisation; AVIRIS; Airborne Visible-Infrared Imaging Spectrometer; IR infrared visible; Iceland; airborne remote sensing; decision boundary feature extraction method; feature extraction; geology; geophysical measurement technique; image classification; land surface; neural net; neural network; optical imaging; statistical approach; terrain mapping; Covariance matrix; Data mining; Feature extraction; Geology; Graphics; Information processing; Neural networks; Optical imaging; Remote sensing; Spectroscopy;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.469483

Filename

469483