2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

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
Session:
Machine Learning for Earth Observation I
Track:
Special Themes
Presentation Time:
Tue, 29 Sep, 12:30-12:40 (UTC)
Tue, 29 Sep, 20:30-20:40 China Standard Time (UTC +8)
Tue, 29 Sep, 14:30-14:40 Central Europe Summer Time (UTC +2)
Tue, 29 Sep, 05:30-05:40 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

Presentation

Discussion

Resources

Session

TU1.R17.1: MULTI-OBJECTIVE OPTIMIZATION FOR ACTIVE SENSOR FUSION
Sebastian Haan, Fabio Ramos, Dietmar Muller, University of Sydney, Australia
TU1.R17.2: TRAINING GENERAL REPRESENTATIONS FOR REMOTE SENSING USING IN-DOMAIN KNOWLEDGE
Maxim Neumann, Andre Susano Pinto, Xiaohua Zhai, Neil Houlsby, Google, Switzerland
TU1.R17.3: REMOTE SENSING IMAGE CAPTIONING WITH SVM-BASED DECODING
Genc Hoxha, Farid Melgani, University of Trento, Italy
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
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
TU1.R17.6: Angular Luminance for Material Segmentation
Jia Xue, Matthew Purri, Kristin Dana, Rutgers University, United States
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
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
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
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
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