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

L. Bruzzone, C. Persello

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

1 Citation (Scopus)
Original languageEnglish
Title of host publicationProceedings of IGARSS 2008 : International Geoscience and Remote Sensing Symposium : Geoscience and remote sensing, the next generation, 6-11 July 2008 Boston, MA, USA.
Place of PublicationPiscataway, USA
PublisherIEEE
PagesI-66 - I-69
ISBN (Print)978-1-4244-2807-6
DOIs
Publication statusPublished - 2008
Externally publishedYes

Keywords

  • ADLIB-ART-323

Cite this

Bruzzone, L., & Persello, C. (2008). A novel approach to the selection of robust and invariant features for classification of hyperspectral images. In Proceedings of IGARSS 2008 : International Geoscience and Remote Sensing Symposium : Geoscience and remote sensing, the next generation, 6-11 July 2008 Boston, MA, USA. (pp. I-66 - I-69). Piscataway, USA: IEEE. https://doi.org/10.1109/IGARSS.2008.4778794