Spectral-Spatial Classification of Hyperspectral Images: Three Tricks and a New Learning Setting

Jacopo Acquarelli*, Elena Marchiori, Lutgarde M. C. Buydens, Thanh Tran, Twan van Laarhoven

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Article number1156
Number of pages19
JournalRemote Sensing
Volume10
Issue number7
DOIs
Publication statusPublished - Jul 2018

Keywords

  • hyperspectral images
  • convolutional neural networks
  • data augmentation
  • learning setting
  • CONVOLUTIONAL NEURAL-NETWORKS
  • SCENE CLASSIFICATION
  • ATTRIBUTE PROFILES
  • FEATURE-EXTRACTION
  • REPRESENTATION
  • SEGMENTATION

Cite this

Acquarelli, J., Marchiori, E., Buydens, L. M. C., Thanh Tran, & van Laarhoven, T. (2018). Spectral-Spatial Classification of Hyperspectral Images: Three Tricks and a New Learning Setting. Remote Sensing, 10(7), [1156]. https://doi.org/10.3390/rs10071156