THP2.PD: Data Analysis Methods IV

Session Type: Poster
Time: Thursday, July 26, 15:50 - 16:50
Location: Poster Area D
Session Chairs: Yuei-An Liou, National Central University and Jose Bioucas Dias, Universidade de Lisboa
 
THP2.PD.1: PRECISE EXTRACTION OF BUILT-UP AREA USING DEEP FEATURES
         Yihua Tan; Huazhong University of Science and Technology
         Shengzhou Xiong; Huazhong University of Science and Technology
         Yaming Li; Huazhong University of Science and Technology
 
THP2.PD.2: SEMI-SUPERVISED DEEP ATTRIBUTE NETWORKS FOR FINE-GRAINED SHIP CATEGORY RECOGNITION
         Quentin Oliveau; Télécom ParisTech
         Hichem Sahbi; CNRS, University of Pierre and Marie Curie, Sorbonne University
 
THP2.PD.3: USE OF SENTINEL-1 AND SENTINEL-2 FOR MONITORING ILLEGAL FISHING OFF GHANA
         Andrey Kurekin; Plymouth Marine Laboratory
         Benjamin Loveday; Plymouth Marine Laboratory
         Oliver Clements; Plymouth Marine Laboratory
         Graham Quartly; Plymouth Marine Laboratory
         Peter Miller; Plymouth Marine Laboratory
         George Wiafe; University of Ghana
         Kwame Adu Agyekum; University of Ghana
 
THP2.PD.4: CLEAR-AIR ANOMALY DETECTION USING MODIFIED KALMAN TEMPORAL FILTER FROM GEOSTATIONARY MULTISPECTRAL DATA
         Luca Milani; Sapienza Università di Roma
         Mauro Arcorace; Progressive Systems Srl
         Roberto Cuccu; Progressive Systems Srl
         Giancarlo Rivolta; Progressive Systems Srl
         Frank S. Marzano; Sapienza Università di Roma
 
THP2.PD.5: EXTRACTION OF AURORAL OVAL REGIONS USING SUPPRESSED FUZZY C MEANS CLUSTERING
         Yu Lei; Northwestern Polytechnical University
         Jiao Shi; Northwestern Polytechnical University
         Ying Zhou; Northwestern Polytechnical University
         Mingliang Tao; Northwestern Polytechnical University
         Jiaji Wu; Xidian University
 
THP2.PD.6: OCEAN EDDY IDENTIFICATION AND TRACKING USING NEURAL NETWORKS
         Katharina Franz; University of Bonn
         Ribana Roscher; University of Bonn
         Andres Milioto; University of Bonn
         Susanne Wenzel; University of Bonn
         Jürgen Kusche; University of Bonn
 
THP2.PD.7: A NOVEL MULTI-SENSOR IMAGE SEGMENTATION FRAMEWORK BASED ON FUZZY COLLABORATIVE CLUSTERING
         Tauqir Moughal; Allama Iqbal Open University
         Fusheng Yu; Beijing Normal University
         Abeer Mazher; Commonwealth Scientific and Industrial Research Organization
 
THP2.PD.8: ON THE EXTRACTION OF TRAINING IMAGERY FROM VERY LARGE REMOTE SENSING DATASETS FOR DEEP CONVOLUTIONAL SEGMENATATION NETWORKS
         Bohao Huang; Duke University
         Daniel Reichman; Duke University
         Leslie Collins; Duke University
         Kyle Bradbury; Duke University
         Jordan Malof; Duke University
 
THP2.PD.9: DEEP CONVOLUTIONAL SEGMENTATION OF REMOTE SENSING IMAGERY: A SIMPLE AND EFFICIENT ALTERNATIVE TO STITCHING OUTPUT LABELS
         Bohao Huang; Duke University
         Leslie Collins; Duke University
         Kyle Bradbury; Duke University
         Jordan Malof; Duke University
 
THP2.PD.10: DEEP LEARNING HYPERSPECTRAL IMAGE CLASSIFICATION USING MULTIPLE CLASS–BASED DENOISING AUTOENCODERS, MIXED PIXEL TRAINING AUGMENTATION, AND MORPHOLOGICAL OPERATIONS
         John Ball; Mississippi State Univeristy
         Pan Wei; Mississippi State Univeristy