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  A Novel Approach to the Selection of Robust and Invariant Features for Classification of Hyperspectral Images

Bruzzone, L., & Persello, C. (2008). A Novel Approach to the Selection of Robust and Invariant Features for Classification of Hyperspectral Images. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2008) (pp. I-66-I-69). Piscataway, NJ, USA: IEEE.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C833-F Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C834-D
Genre: Konferenzbeitrag

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 Urheber:
Bruzzone, L, Autor
Persello, C1, Autor           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Zusammenfassung: This paper presents a novel approach to feature selection for the classification of hyperspectral images. The proposed approach aims at selecting a subset of the original set of features that exhibits two main properties:( i) high capability to discriminate among the considered classes, (ii) high invariance (stationarity) in the spatial domain of the investigated scene. The feature selection is accomplished by defining a multi-objective criterion that considers two terms: (i) a term that assesses the class separability, (ii) a term that evaluates the spatial invariance of the selected features. The multi-objective problem is solved by an evolutionary algorithm that estimates the Pareto-optimal solutions. Experiments carried out on a hyperspectral image acquired by the Hyperion sensor confirmed the effectiveness of the proposed technique.

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 Datum: 2008-07
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: ISBN: 978-1-4244-2807-6
URI: http://www.igarss08.org/
DOI: 10.1109/IGARSS.2008.4778794
BibTex Citekey: BruzzoneP2008_2
 Art des Abschluß: -

Veranstaltung

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Titel: IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2008)
Veranstaltungsort: Boston, MA , USA
Start-/Enddatum: -

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Titel: IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2008)
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Piscataway, NJ, USA : IEEE
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: I-66-I-69 Identifikator: -