Thin linear features extraction in SAR images by fusion of amplitude and coherence information

In this paper, we propose a new method to extract thin linear decorrelated features in SAR interferometric images by fusioning the information provided by the amplitude and the coherence. A first detection is the result of an unsupervised classification performed on the coherence image, where linear...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Onana, V.P., Trouve, E., Mauris, G., Rudant, J.P., Tonye, E.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Data mining Decorrelation Equations Feature extraction Image edge detection Low-frequency noise Performance evaluation Pixel Rivers Satellites
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