DocumentCode :
297699
Title :
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
Link To Document :
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