TY - GEN
T1 - Supervised hyperspectral image classification with rejection
AU - Condessa, Filipe
AU - Bioucas-Dias, Jose
AU - Kovacevic, Jelena
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/10
Y1 - 2015/11/10
N2 - Hyperspectral image classification is a challenging classification problem: obtaining complete and representative training sets is costly; pixels can belong to unknown classes; and it is generally an ill-posed problem. The need to achieve high classification accuracy surpasses the need to classify the entire image. To achieve this, we use classification with rejection by providing the classifier an option not to classify a pixel and consequently reject it. We propose a method for supervised hyperspectral image classification combining the use of contextual priors with classification with rejection. Rejection is introduced as an extra class that models the probability of classifier failure. We validate the resulting algorithm in the AVIRIS Indian Pines scene and illustrate the performance increase resulting from classification with rejection.
AB - Hyperspectral image classification is a challenging classification problem: obtaining complete and representative training sets is costly; pixels can belong to unknown classes; and it is generally an ill-posed problem. The need to achieve high classification accuracy surpasses the need to classify the entire image. To achieve this, we use classification with rejection by providing the classifier an option not to classify a pixel and consequently reject it. We propose a method for supervised hyperspectral image classification combining the use of contextual priors with classification with rejection. Rejection is introduced as an extra class that models the probability of classifier failure. We validate the resulting algorithm in the AVIRIS Indian Pines scene and illustrate the performance increase resulting from classification with rejection.
KW - classification with context
KW - classification with rejection
KW - hyperspectral image classification
UR - http://www.scopus.com/inward/record.url?scp=84962499065&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962499065&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2015.7326344
DO - 10.1109/IGARSS.2015.7326344
M3 - Conference contribution
AN - SCOPUS:84962499065
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2600
EP - 2603
BT - 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Y2 - 26 July 2015 through 31 July 2015
ER -