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TH3.L2: Image Analysis and Classification

Session Type: Oral

Time: Thursday, July 14, 13:30 - 15:10

Location: Room 311B

Session Chairs: Peijun Li, University of Peking and Nicolas Courty, Université de Bretagne du Sud

TH3.L2.1: AN OUTLIER GENERATION APPROACH FOR ONE-CLASS RANDOM FORESTS: AN EXAMPLE IN ONE-CLASS CLASSIFICATION OF REMOTE SENSING IMAGERY

Zhongkui Shi; Peking University

Peijun Li; Peking University

Yi Sun; Peking University

TH3.L2.2: UNSUPERVISED CLASSIFIER SELECTION APPROACH FOR HYPERSPECTRAL IMAGE CLASSIFICATION

Bharath Bhushan Damodaran; Université Bretagne-Sud

Nicolas Courty; Université Bretagne-Sud

Sébastien Lefèvre; Université Bretagne-Sud

TH3.L2.3: CLASSIFICATION OF HYPERSPECTRAL IMAGES WITH VERY SMALL TRAINING SIZE USING SPARSE UNMIXING

Vera Andrejchenko; University of Antwerp

Rob Heylen; University of Antwerp

Paul Scheunders; University of Antwerp

Wilfried Philips; University of Gent

Wenzhi Liao; University of Gent

TH3.L2.4: A NOVEL LAND COVER MAPPING ALGORITHM BASED ON RANDOM FOREST AND MARKOV RANDOM FIELD MODELS

Teerasit Kasetkasem; Kasetsart University

Panyanat Aonpong; Kasetsart University

Preesan Rakwatin; Geo-Informatics and Space Technology Development Agency (Public Organization)

Thitiporn Chanwimaluang; Thailand National Electronics and Computer Technology Center

Itsuo Kumazawa; Tokyo Institute of Technology

TH3.L2.5: EXTINCTION PROFILES: A NOVEL APPROACH FOR THE ANALYSIS OF REMOTE SENSING DATA

Pedram Ghamisi; German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF) and Technische Universitt Mnchen (TUM), Signal Processing in Earth Observation

Roberto Souza; School of Electrical and Computer Engineering - UNICAMP

Letıcia Rittner; School of Electrical and Computer Engineering - UNICAMP

Jón Atli Benediktsson; Faculty of Electrical and Computer Engineering, Ubiversity of Iceland

Roberto Lotufo; School of Electrical and Computer Engineering - UNICAMP

Xiao Xiang Zhu; German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF) and Technische Universitt Mnchen (TUM), Signal Processing in Earth Observation