A novel approach to the selection of spatially invariant features for classification of hyperspectral images

C. Persello, L. Bruzzone

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

3 Citations (Scopus)
Original languageEnglish
Title of host publicationIGARSS 2009 : Proceedings of the IEEE International Geoscience & Remote Sensing Symposium : Earth observation, origins to applications, July 12-17, 2009, Cape Town, South Africa.
Place of PublicationWashington D.C., USA
PublisherIEEE
PagesII-61 - II-64
DOIs
Publication statusPublished - 2009
Externally publishedYes

Keywords

  • ADLIB-ART-375

Cite this

Persello, C., & Bruzzone, L. (2009). A novel approach to the selection of spatially invariant features for classification of hyperspectral images. In IGARSS 2009 : Proceedings of the IEEE International Geoscience & Remote Sensing Symposium : Earth observation, origins to applications, July 12-17, 2009, Cape Town, South Africa. (pp. II-61 - II-64). Washington D.C., USA: IEEE. https://doi.org/10.1109/IGARSS.2009.5418001