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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TH1.O-5.6

DEEP VISION TRANSFORMERS FOR REMOTE SENSING SCENE CLASSIFICATION

Laila Bashmal, Yakoub Bazi, Mohamad Al Rahhal, King Saud University, Saudi Arabia
Session:
Remote Sensing Image Classification Using Machine Learning I
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Thu, 15 Jul, 09:45-10:00 (UTC)
Thu, 15 Jul, 11:45-12:00 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 17:45-18:00 China Standard Time (UTC +8)
Thu, 15 Jul, 05:45-06:00 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Yakoub Bazi, King Saud University and Youngwook Kim, California State University, Fresno
Session Manager:
Willeke A'Campo
Presentation
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Session TH1.O-5
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

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