MOP.P7: Classification and Clustering II
Mon, 17 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Location: Poster Area 7
Session Type: Poster
Session Chair: Yady Tatiana Solano-Correa, Universidad Tecnológica de Bolívar
Track: Data Analysis

MOP.P7.2: EXPLORING DISTANCE-AWARE UNCERTAINTY QUANTIFICATION FOR REMOTE SENSING IMAGE CLASSIFICATION
Christoph Koller, German Aerospace Center (DLR), Germany; Peter Jung, Technical University of Berlin, Germany; Xiao Xiang Zhu, Technical University of Munich, Germany

MOP.P7.3: AN IMBALANCED SIGNAL MODULATION CLASSIFICATION AND EVALUATION METHOD BASED ON SYNTHETIC MINORITY OVER-SAMPLING TECHNIQUE
Xuebo Liu, Yiran Wang, Jing Bai, Haoran Li, Xu Wang, School of Artificial Intelligence, Xidian University, Xi’an 710071, China, China

MOP.P7.4: Research on the influence of different training samples, image selection strategies and classifiers on the refinement of plant communities mapping in Poyang Lake wetland
xinxing Han, East China University of Technology College of Surveying and Mapping Engineering, Nanchang, Jiangxi, China., China

MOP.P7.5: DEVELOPMENT OF GENERALIZED MACHINE LEARNING MODEL TO CLASSIFY POLSAR DATA
Varsha Turkar, Vidyalankar Institute of Technology, India; Akhil Masurkar, Rohin Daruwala, Veermata Jijabai Technological Institute, India; Anup Das, Space Application Centre, ISRO, India

MOP.P7.6: Sentinel-1 coherence time series for agricultural crops classification in the Iberian Peninsula
Maria Cristina Mihai Dragomir, David Gabella Merino, Ignacio Borlaf Mena, Mihai A. Tanase, Universidad de Alcala, Spain; Rubén Ramo Sánchez, Complutig, Spain

MOP.P7.7: SENTINEL-1 BASED CUSUM CAPABILITIES AS A FOREST / NON-FOREST MASK IN TROPICAL AREAS
Bertrand Ygorra, National Institute for Research in Digital Science and Technology, France; Frédéric Frappart, Jean-Pierre Wigneron, National Research Institute for Agriculture, Food and Environment, France; Thibault Catry, Benjamin Pillot, Espace-DeV, France; Serge Riazanoff, VisioTerra, France

MOP.P7.8: DUAL POLSAR BACKSCATTER AND OPTICAL DATA INTEGRATION FOR IMPROVED LAND USE/LAND COVER CLASSIFICATION- A COMPARISON OF SVM KERNELS
ARJUMAN RAFIQ RESHI, HAR AMRIT SINGH SANDHU, PUNJAB ENGINEERING COLLLEGE (PEC), CHANDIGARH, INDIA, India; AKSHAR TRIPATHI, INDIAN INSTITUTE OF TECHNOLOGY (IIT) PATNA, INDIA, India

MOP.P7.9: FIRST RESULTS OF VESSEL DETECTION WITH ONBOARD PROCESSING OF DECOMPRESSED SENTINEL-2 LEVEL 0 DATA BY DEEP LEARNING
Roberto Del Prete, University of Naples Federico II and Φ-lab European Space Agency, Italy; Gabriele Meoni, Nicolas Longepe, Φ-lab European Space Agency, Italy; Maria Daniela Graziano, Alfredo Renga, University of Naples Federico II, Italy

MOP.P7.10: EXAMINING MODEL GENERALITY OF INSTANCE SEGMENTATION FOR BUILDING MAPPING IN SATELLITE IMAGES - CASE STUDY FOR TOKYO AND BANGKOK
Ryota Yamanotera, Tokyo City Univesity, Japan; Yuki Akiyama, Tokyo City University, Japan; Hiroyuki Miyazaki, The University of Tokyo, Japan