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

L. Bruzzone; C. Persello

doi:10.1109/IGARSS.2008.4778794

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

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

Original language	English
Title of host publication	Proceedings 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 Publication	Piscataway, USA
Publisher	IEEE
Pages	I-66 - I-69
ISBN (Print)	978-1-4244-2807-6
DOIs	https://doi.org/10.1109/IGARSS.2008.4778794
Publication status	Published - 2008
Externally published	Yes

Keywords

ADLIB-ART-323

Access to Document

10.1109/IGARSS.2008.4778794

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

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title = "A novel approach to the selection of robust and invariant features for classification of hyperspectral images",

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author = "L. Bruzzone and C. Persello",

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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.. IEEE, Piscataway, USA, pp. I-66 - I-69. https://doi.org/10.1109/IGARSS.2008.4778794

A novel approach to the selection of robust and invariant features for classification of hyperspectral images. / Bruzzone, L.; Persello, C.

Proceedings of IGARSS 2008 : International Geoscience and Remote Sensing Symposium : Geoscience and remote sensing, the next generation, 6-11 July 2008 Boston, MA, USA.. Piscataway, USA : IEEE, 2008. p. I-66 - I-69.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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Bruzzone L, Persello C. 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.. Piscataway, USA: IEEE. 2008. p. I-66 - I-69 https://doi.org/10.1109/IGARSS.2008.4778794