TU1.R17: Machine Learning for Earth Observation I

Tue, 29 Sep, 12:00 - 14:00 (UTC)
Tue, 29 Sep, 20:00 - 22:00 China Standard Time (UTC +8)
Tue, 29 Sep, 14:00 - 16:00 Central Europe Summer Time (UTC +2)
Tue, 29 Sep, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session Co-Chairs: Ronny Hänsch, German Aerospace Center (DLR) and Andrea Marinoni, Arctic University of Norway
Session Manager: Diana Michelle Cruz Lainez
Track: Special Themes
12:00-12:10 (UTC)
20:00-20:10 (UTC +8)
14:00-14:10 (UTC +2)
05:00-05:10 (UTC -7)

TU1.R17.1: MULTI-OBJECTIVE OPTIMIZATION FOR ACTIVE SENSOR FUSION

Sebastian Haan, Fabio Ramos, Dietmar Muller, University of Sydney, Australia
12:10-12:20 (UTC)
20:10-20:20 (UTC +8)
14:10-14:20 (UTC +2)
05:10-05:20 (UTC -7)

TU1.R17.2: TRAINING GENERAL REPRESENTATIONS FOR REMOTE SENSING USING IN-DOMAIN KNOWLEDGE

Maxim Neumann, Andre Susano Pinto, Xiaohua Zhai, Neil Houlsby, Google, Switzerland
12:20-12:30 (UTC)
20:20-20:30 (UTC +8)
14:20-14:30 (UTC +2)
05:20-05:30 (UTC -7)

TU1.R17.3: REMOTE SENSING IMAGE CAPTIONING WITH SVM-BASED DECODING

Genc Hoxha, Farid Melgani, University of Trento, Italy
12:30-12:40 (UTC)
20:30-20:40 (UTC +8)
14:30-14:40 (UTC +2)
05:30-05:40 (UTC -7)

TU1.R17.4: VISUAL LOCALIZATION BASED ON REMOTE SENSING SCENE MATCHING WITH SIAMESE FEATURE AGGREGATION NETWORK

Wang Chen, Yuan Yuan, Ganchao Liu, Northwestern Polytechnical University, China
12:40-12:50 (UTC)
20:40-20:50 (UTC +8)
14:40-14:50 (UTC +2)
05:40-05:50 (UTC -7)

TU1.R17.5: STEREO MATCHING OF VHR REMOTE SENSING IMAGES VIA BIDIRECTIONAL PYRAMID NETWORK

Rongshu Tao, Yuming Xiang, Hongjian You, Chinese Academy of Sciences, China
12:50-13:00 (UTC)
20:50-21:00 (UTC +8)
14:50-15:00 (UTC +2)
05:50-06:00 (UTC -7)

TU1.R17.6: Angular Luminance for Material Segmentation

Jia Xue, Matthew Purri, Kristin Dana, Rutgers University, United States
13:00-13:10 (UTC)
21:00-21:10 (UTC +8)
15:00-15:10 (UTC +2)
06:00-06:10 (UTC -7)

TU1.R17.7: REMOTE SENSING IMAGE SEGMENTATION METHOD BASED ON HRNET

Zhi Cheng, Huanggang Polytechnic College, China; Daocai Fu, University of Electronic Science and Technology of China, China
13:10-13:20 (UTC)
21:10-21:20 (UTC +8)
15:10-15:20 (UTC +2)
06:10-06:20 (UTC -7)

TU1.R17.8: MULTI SEASONAL DEEP LEARNING CLASSIFICATION OF VENUS IMAGES

Ido Faran, Nathan Netanyahu, Eli David, Bar Ilan University, Israel; Ronit Rud, Maxim Shoshany, Technion Israel Institute of Technology, Israel
13:20-13:30 (UTC)
21:20-21:30 (UTC +8)
15:20-15:30 (UTC +2)
06:20-06:30 (UTC -7)

TU1.R17.9: TRANSLATING MULTISPECTRAL IMAGERY TO NIGHTTIME IMAGERY VIA CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS

Xiao Huang, University of South Carolina, United States; Dong Xu, East China Normal University, China; Zhenlong Li, Cuizhen Wang, University of South Carolina, United States
13:30-13:40 (UTC)
21:30-21:40 (UTC +8)
15:30-15:40 (UTC +2)
06:30-06:40 (UTC -7)

TU1.R17.10: A Deep Learning Model for Oceanic Mesoscale Eddy Detection Based on Multi-source Remote Sensing Imagery

Yingjie Liu, Xiaofeng Li, Yibin Ren, Institute of Oceanology, Chinese Academy of Sciences, China
13:40-13:50 (UTC)
21:40-21:50 (UTC +8)
15:40-15:50 (UTC +2)
06:40-06:50 (UTC -7)

TU1.R17.11: IDENTIFICATION OF ARCHAEOLOGICAL LAND USE EMPLOYING DEEP LEARNING TECHNIQUES: PROSPECTIVE STUDY WITHIN MEXICO

Ivan Villalon-Turrubiates, Instituto Tecnológico y de Estudios Superiores de Occidente, ITESO, Mexico; Maria Llovera-Torres, Universidad Autónoma de San Luis Potosí (UASLP), Mexico