July 28 - August 2, 2019 • Yokohama, Japan

Pacifico Yokohama

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Paper Detail

Paper Title HYPERSPECTRAL OCEANIC REMOTE SENSING WITH ADJACENCY EFFECTS: FROM SPECTRAL-VARIABILITY-BASED MODELING TO PERFORMANCE OF ASSOCIATED BLIND UNMIXING METHODS
Paper IdentifierTU3.R11.2
Authors Yannick Deville, Salah-Eddine Brezini, Fatima Zohra Benhalouche, Moussa Sofiane Karoui, University of Toulouse, France; Mireille Guillaume, Aix Marseille University, France; Xavier Lenot, Bruno Lafrance, C.S. Systemes d’Information, France; Malik Chami, Sorbonne University, France; Sylvain Jay, Aix Marseille University, France; Audrey Minghelli, Universite de Toulon, France; Xavier Briottet, ONERA, France; Marie-Véronique Serfaty, DGA, France
Session Unmixing Techniques for Hyperspectral Images I
Location Room 419
Session Time Tuesday, 30 July, 14:00 - 15:20
Presentation Time Tuesday, 30 July, 14:00 - 14:20
Presentation Mode Oral
Topic Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR): Target Detection and Unmixing