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MO3.L06: Hyperspectral Data Classification

Session Type: Oral

Time: Monday, July 26, 13:35 - 15:15

Location: South Pacific 4

Session Chairs: Melba Crawford, Purdue University and Jon Atli Benediktsson, University of Iceland

MO3.L06.1: DATA DEPENDANT ADAPTATION FOR IMPROVED CLASSIFICATION OF HYPERSPECTRAL IMAGERY

Saurabh Prasad; Mississippi State University

Hemanth Kalluri; Mississippi State University

Lori Bruce; Mississippi State University

Sathishkumar Samiappan; Mississippi State University

MO3.L06.2: TRANSDUCTIVE KERNEL MATRIX LEARNING WITH HIERARCHIC BAYESIAN MODEL, APPLICATION TO HYPERSPECTRAL IMAGES

André Ferrari; Université de Nice-Sophia Antipolis, CNRS, Observatoire de la Côte d'Azur

Cédric Richard; Université de Nice-Sophia Antipolis, CNRS, Observatoire de la Côte d'Azur

Isabelle Smith; Université de Nice-Sophia Antipolis, CNRS, Observatoire de la Côte d'Azur

Céline Theys; Université de Nice-Sophia Antipolis, CNRS, Observatoire de la Côte d'Azur

MO3.L06.3: FEATURE EXTRACTION AND SELECTION HYBRID ALGORITHM FOR HYPERSPECTRAL IMAGERY CLASSIFICATION

Sen Jia; Shenzhen University

Yuntao Qian; Zhejiang University

Jiming Li; Zhejiang University

Weixiang Liu; Shenzhen University

Zhen Ji; Shenzhen University

MO3.L06.4: CLASSIFICATION OF HYPERSPECTRAL IMAGES WITH EXTENDED ATTRIBUTE PROFILES AND FEATURE EXTRACTION TECHNIQUES

Mauro Dalla Mura; University of Trento

Jon Atli Benediktsson; University of Iceland

Lorenzo Bruzzone; University of Trento

MO3.L06.5: NEW HYPERSPECTRAL DATA REPRESENTATION USING BINARY PARTITION TREE

Silvia Valero; Technical University of Catalonia

Philippe Salembier; Technical University of Catalonia

Jocelyn Chanussot; GIPSA-Lab, Département des Images et des Signaux