Supervised fusion-classification of multifrequency polarimetric SAR images using K distribution and theory of evidence

Importance of using multifrequency polarimetric SAR data for scene classification has been recognized in remote sensing applications. However, many problems have to be faced, due to the inadequacy of the conventional classification techniques because of the nature of the SAR images. This paper demon...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Chitroub, S., Hamiti, R., Allal, S., Houacine, A., Sansal, B.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Importance of using multifrequency polarimetric SAR data for scene classification has been recognized in remote sensing applications. However, many problems have to be faced, due to the inadequacy of the conventional classification techniques because of the nature of the SAR images. This paper demonstrates the feasibility of using the theory of evidence to merge and classify this type of image. The data are modeled using the generalized K distribution. The suggested methodology is evaluating using SAR images provided by SIR-C.
DOI:10.1109/IGARSS.1999.775013