MOP.P6: Deep Learning for Scene Classification and Semantic Segmentation
Mon, 17 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Location: Poster Area 6
Session Type: Poster
Track: Data Analysis

MOP.P6.1: MULTI-SCALE INTERACTION PROTOTYPICAL NETWORK FOR FEW-SHOT REMOTE SENSING SCENE CLASSIFICATION
Shiji Pei, Yijing Wang, Jingjing Ma, Xu Tang, Yuqun Yang, Xidian University, China

MOP.P6.2: MULTI-GRAINED GLOBAL-LOCAL SEMANTIC FEATURE FUSION FOR FEW SHOT REMOTE SENSING SCENE CLASSIFICATION
Yuqing Liu, Tong Zhang, Yin Zhuang, Guanqun Wang, He Chen, Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing Institute of Technology, China

MOP.P6.3: A FRAMEWORK FOR TOKEN-BASED SCENE-CLASSIFICATION OF REMOTE SENSING IMAGES
Mohammad Iqbal Nouyed, Gianfranco Doretto, Donald Adjeroh, West Virginia University, United States

MOP.P6.4: PolSAR Image Classification based on 3D Generative Adversarial Networks
Ali Jamali, Simon Fraser University, Canada; Masoud Mahdianpari, Memorial University of Newfoundland, Canada; Fariba Mohammadimanesh, C-CORE, Canada

MOP.P6.5: SAR-UT: A SYNTHETIC-TO-MEASURED SAR IMAGE TRANSLATION NETWORK BASED ON TRANSFORMER
hengyi hu, zongyong cui, zheng zhou, zongjie cao, University of Electronic Science and Technology of China, China

MOP.P6.6: PORT AREA BUILDINGS CLASSIFICATION IN GF-3 SAR IMAGES BASED ON IMPROVED DEEPLABV3+ NETWORK
Qian Wu, Bo Zhang, Xin Lin, Fan Wu, Chao Wang, Aerospace Information Research Institute, Chinese Academy of Sciences, China

MOP.P6.7: PERFORMANCE COMPARISION OF VGG-16 AND RESNET-34 ALGORITHMS FOR SUPERVISED CLASSIFICATION OF LANDSAT IMAGES
Varsha Bhosale, Vidyalankar Institute of Technology, India; Archana Patankar, Thadomal Sahani College of Engineering, India

MOP.P6.8: AUTOMATED DETECTION OF MACROBENTHOS IN TIDAL FLATS USING UNMANNED AERIAL VEHICLES AND DEEP LEARNING
Dong-Woo Kim, Seung-Woo Son, Sang-Hyuk Lee, Jeongho Yoon, Korea Environment Institute, South Korea

MOP.P6.9: Dimension Reduction of combined image and elevation remote sensing data using UMAP, Autoencoders, and variational Autoencoders: investigation on shaded regions
Dimitri Bulatov, Melanie Böge, Denis Debroize, Gisela Häufel, Kevin Qiu, Fraunhofer IOSB Ettlingen, Germany

MOP.P6.10: DEEP LEARNING BASED MAPPING AND CENSUS OF OIL PALM PLANTATION FROM HIGH RESOLUTION SATELLITE IMAGES
Niranjan Dilip Gholba, Anil Kumar, University of Petroleum and Energy Studies, Dehradun, India

MOP.P6.11: INCREMENTAL LEARNING OF REMOTE SENSING TARGET CLASSIFICATION WITH CLASS HIERARCHY
Yang Chu, Peng Wang, Yuntao Qian, Zhejiang University, China

MOP.P6.12: COUPLED GRAPH CONVOLUTION NETWORK FOR CROSS-SCENE MULTISPECTRAL POINT CLOUD CLASSIFICATION
Mingye Wang, Qingwang Wang, Tao Shen, Jian Song, Kunming University of Science and Technology, China