International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TH1.O-5: Remote Sensing Image Classification Using Machine Learning I
Thu, 15 Jul, 08:30 - 10:00 (UTC)
Thu, 15 Jul, 10:30 - 12:00 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 16:30 - 18:00 China Standard Time (UTC +8)
Thu, 15 Jul, 04:30 - 06:00 Eastern Standard Time (UTC -4)
Session Chair: Yakoub Bazi, King Saud University
Session Manager: Willeke A'Campo
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

TH1.O-5.1: REMOTE SENSING IMAGERY SCENE CLASSIFICATION BASED ON SPIKING NEURAL NETWORK

Saifei Wu, Jie Li, Xidian University, China; Lin Qi, Ocean University of China, China; Ziming Liu, Xidian University, China; Xinbo Gao, Chongqing University of Posts and Telecommunications, China

TH1.O-5.2: APPLICATION OF COMPOSITIONAL NEURAL NETWORKS FOR ROBUST CLASSIFICATION OF INFRARED IMAGERY

Gregory P. Spell, Leslie M. Collins, Jordan M. Malof, Duke University, United States

TH1.O-5.3: CROSS-SOURCE IMAGE RETRIEVAL BASED ON ENSEMBLE LEARNING AND KNOWLEDGE DISTILLATION FOR REMOTE SENSING IMAGES

Jingjing Ma, Duanpeng Shi, Xu Tang, Xiangrong Zhang, Xidian University, China; Xiao Han, Geovis Spatial Technology Co.,Ltd, China; Licheng Jiao, Xidian University, China

TH1.O-5.4: IMAGE CLASSIFICATION UNIT: A U-NET CONVOLUTIONAL NEURAL NETWORK FOR ON- ORBIT CLOUD DETECTION ABOARD CUBESATS

Timothy Leong, Yasir ABBAS, Mark Angelo Purio, Hoda Elmegharbel, Kyushu Institute of Technology, Japan

TH1.O-5.5: FRUGAL LEARNING FOR INTERACTIVE SATELLITE IMAGE CHANGE DETECTION

Hichem SAHBI, CNRS Sorbonne University, France; Sebastien Deschamps, Sorbonne University and Thales, France; Andrei Stoian, Thales, France

TH1.O-5.6: DEEP VISION TRANSFORMERS FOR REMOTE SENSING SCENE CLASSIFICATION

Laila Bashmal, Yakoub Bazi, Mohamad Al Rahhal, King Saud University, Saudi Arabia