Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  A Novel Active Learning Strategy for Domain Adaptation in the Classification of Remote Sensing Images

Persello, C. (2011). A Novel Active Learning Strategy for Domain Adaptation in the Classification of Remote Sensing Images. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2011) (pp. 3720-3723). Piscataway, NJ, USA: IEEE.

Item is

Externe Referenzen

einblenden:

Urheber

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

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: We present a novel technique for addressing domain adaptation problems in the classification of remote sensing images with active learning. Domain adaptation is the important problem of adapting a supervised classifier trained on a given image (source domain) to the classification of another similar (but not identical) image (target domain) acquired on a different area, or on the same area at a different time. The main idea of the proposed approach is to iteratively labeling and adding to the training set the minimum number of the most informative samples from target domain, while removing the source-domain samples that does not fit with the distributions of the classes in the target domain. In this way, the classification system exploits already available information, i.e., the labeled samples of source domain, in order to minimize the number of target domain samples to be labeled, thus reducing the cost associated to the definition of the training set for the classification of the target domain. Experimental results obtained in the classification of a hyperspectral image confirm the effectiveness of the proposed technique.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2011-07
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: ISBN: 978-1-4577-1003-2
URI: http://igarss11.org/
DOI: 10.1109/IGARSS.2011.6050033
BibTex Citekey: PerselloB2011_2
 Art des Abschluß: -

Veranstaltung

einblenden:
ausblenden:
Titel: IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2011)
Veranstaltungsort: Vancouver, BC, Canada
Start-/Enddatum: -

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2011)
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Piscataway, NJ, USA : IEEE
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 3720 - 3723 Identifikator: -