Robust hyperspectral image classification with rejection fields

Filipe Condessa, Jose Bioucas-DIas, Jelena Kovacevic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we present a novel method for robust hyperspectral image classification using context and rejection. Hyper-spectral image classification is generally an ill-posed image problem where pixels may belong to unknown classes, and obtaining representative and complete training sets is costly. Furthermore, the need for high classification accuracies is frequently greater than the need to classify the entire image. We approach this problem with a robust classification method that combines classification with context with classification with rejection. A rejection field that will guide the rejection is derived from the classification with contextual information obtained by using the SegSALSA [1] algorithm. We validate our method in real hyperspectral data and show that the performance gains obtained from the rejection fields are equivalent to an increase the dimension of the training sets.

Original languageEnglish (US)
Title of host publication2015 7th Workshop on Hyperspectral Image and Signal Processing
Subtitle of host publicationEvolution in Remote Sensing, WHISPERS 2015
PublisherIEEE Computer Society
Volume2015-June
ISBN (Electronic)9781467390156
DOIs
StatePublished - Oct 19 2017
Event7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015 - Tokyo, Japan
Duration: Jun 2 2015Jun 5 2015

Other

Other7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015
CountryJapan
CityTokyo
Period6/2/156/5/15

Fingerprint

Image classification
Pixels

Keywords

  • classification with rejection
  • hidden fields
  • Hyperspectral image classification
  • robust classification

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Condessa, F., Bioucas-DIas, J., & Kovacevic, J. (2017). Robust hyperspectral image classification with rejection fields. In 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015 (Vol. 2015-June). [8075465] IEEE Computer Society. https://doi.org/10.1109/WHISPERS.2015.8075465

Robust hyperspectral image classification with rejection fields. / Condessa, Filipe; Bioucas-DIas, Jose; Kovacevic, Jelena.

2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015. Vol. 2015-June IEEE Computer Society, 2017. 8075465.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Condessa, F, Bioucas-DIas, J & Kovacevic, J 2017, Robust hyperspectral image classification with rejection fields. in 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015. vol. 2015-June, 8075465, IEEE Computer Society, 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015, Tokyo, Japan, 6/2/15. https://doi.org/10.1109/WHISPERS.2015.8075465
Condessa F, Bioucas-DIas J, Kovacevic J. Robust hyperspectral image classification with rejection fields. In 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015. Vol. 2015-June. IEEE Computer Society. 2017. 8075465 https://doi.org/10.1109/WHISPERS.2015.8075465
Condessa, Filipe ; Bioucas-DIas, Jose ; Kovacevic, Jelena. / Robust hyperspectral image classification with rejection fields. 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015. Vol. 2015-June IEEE Computer Society, 2017.
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