Classification and feature extraction with enhanced statistics

Author

Benediktsson, Jon Atli ; Arnason, K. ; Hjartarson, Arni ; Landgrebe, David A.

Author_Institution

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

Volume

1

fYear

1996

fDate

27-31 May 1996

Firstpage

414

Abstract

Classification of AVIRIS data is considered with respect to enhanced statistics. The performance of enhanced statistics is investigated in terms of feature extraction for both pixel and spatial classifiers. The feature extraction methods applied are decision boundary feature extraction and discriminant analysis. The classification results obtained by enhanced statistics are excellent and show the classifiers to be able to distinguish between several geological units with very similar spectral properties

Keywords

feature extraction; geophysical signal processing; geophysical techniques; image classification; infrared imaging; optical information processing; remote sensing; AVIRIS; IR imaging; decision boundary feature extraction; discriminant analysis; enhanced statistics; feature extraction; geological unit; geology; geophysical measurement technique; image classification; image processing; land surface; optical imaging; pixel classifier; satellite remote sensing; spatial classifier; spectral properties; terrain mapping; Data analysis; Density functional theory; Eigenvalues and eigenfunctions; Feature extraction; Infrared sensors; Spectroscopy; Statistical analysis; Statistics; Testing; Volcanoes;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International

Conference_Location

Lincoln, NE

Print_ISBN

0-7803-3068-4

Type

conf

DOI

10.1109/IGARSS.1996.516358

Filename

516358