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Authors: Jun Li 1 ; Prashanth Reddy Marpu 2 ; Antonio Plaza 1 ; Jose Manuel Bioucas Dias 3 and Jon Atli Benediktsson 2

Affiliations: 1 University of Extremadura, Spain ; 2 University of Iceland, Iceland ; 3 Instituto Superior Técnico, Portugal

Keyword(s): Multiple classifier system, Remotely sensed hyperspectral images, Semi-supervised learning.

Abstract: In this work, we propose a new semi-supervised algorithm for remotely sensed hyperspectral image classification which belongs to the family of multiple classifier systems. The proposed approach combines the output of two well-established discriminative classifiers: sparse multinomial logistic regression (SMLR) and quadratic discriminant analysis (QDA). Our approach follows a two-step strategy. First, both SMLR and QDA are trained from the same set of labeled training samples and make predictions for the unlabeled samples in the image. Second, the set of unlabeled training samples is expanded by combining the estimates obtained by both classifiers in the previous step. The effectiveness of the proposed method is evaluated via experiments with a widely used hyperspectral image, collected by the Airborne Visible Infra-Red Imaging Spectrometer (AVIRIS) over the Indian Pines region in Indiana. Our results indicate that the proposed multiple classifier method provides state-of-the-art perf ormance when compared to other methods. (More)

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Paper citation in several formats:
Li, J.; Reddy Marpu, P.; Plaza, A.; Manuel Bioucas Dias, J. and Atli Benediktsson, J. (2012). A NEW MULTIPLE CLASSIFIER SYSTEM FOR SEMI-SUPERVISED ANALYSIS OF HYPERSPECTRAL IMAGES. In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012) - Volume 2: PRARSHIA; ISBN 978-989-8425-98-0; ISSN 2184-4313, SciTePress, pages 406-411. DOI: 10.5220/0003849504060411

@conference{prarshia12,
author={Jun Li. and Prashanth {Reddy Marpu}. and Antonio Plaza. and Jose {Manuel Bioucas Dias}. and Jon {Atli Benediktsson}.},
title={A NEW MULTIPLE CLASSIFIER SYSTEM FOR SEMI-SUPERVISED ANALYSIS OF HYPERSPECTRAL IMAGES},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012) - Volume 2: PRARSHIA},
year={2012},
pages={406-411},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003849504060411},
isbn={978-989-8425-98-0},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012) - Volume 2: PRARSHIA
TI - A NEW MULTIPLE CLASSIFIER SYSTEM FOR SEMI-SUPERVISED ANALYSIS OF HYPERSPECTRAL IMAGES
SN - 978-989-8425-98-0
IS - 2184-4313
AU - Li, J.
AU - Reddy Marpu, P.
AU - Plaza, A.
AU - Manuel Bioucas Dias, J.
AU - Atli Benediktsson, J.
PY - 2012
SP - 406
EP - 411
DO - 10.5220/0003849504060411
PB - SciTePress

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