Classification and feature extraction with enhanced statistics

Jon Atli Benediktsson; Kolbeinn Arnason; Arni Hjartarson; David A. Landgrebe

Classification and feature extraction with enhanced statistics

Jon Atli Benediktsson^*, Kolbeinn Arnason, Arni Hjartarson, David A. Landgrebe

^*Corresponding author for this work

University of Iceland

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages	414-416
Number of pages	3
Publication status	Published - 1996
Event	Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4) - Lincoln, NE, USA Duration: 28 May 1996 → 31 May 1996

Conference

Conference	Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4)
City	Lincoln, NE, USA
Period	28/05/96 → 31/05/96

Cite this

@conference{4dd41c24e1c2443d9d858166406c1d89,

title = "Classification and feature extraction with enhanced statistics",

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.",

author = "Benediktsson, {Jon Atli} and Kolbeinn Arnason and Arni Hjartarson and Landgrebe, {David A.}",

year = "1996",

language = "English",

pages = "414--416",

note = "Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4) ; Conference date: 28-05-1996 Through 31-05-1996",

}

TY - CONF

T1 - Classification and feature extraction with enhanced statistics

AU - Benediktsson, Jon Atli

AU - Arnason, Kolbeinn

AU - Hjartarson, Arni

AU - Landgrebe, David A.

PY - 1996

Y1 - 1996

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0029712581&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0029712581

SP - 414

EP - 416

T2 - Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4)

Y2 - 28 May 1996 through 31 May 1996

ER -

Classification and feature extraction with enhanced statistics

Abstract

Conference

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Cite this