16 - 21 July, 2023
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International Geoscience and Remote Sensing Symposium
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Technical Program
Session WEP.P13
Paper WEP.P13.8
WEP.P13.8
SATPOI-NET: DEEP LEARNING MODEL TO PREDICT THE POINT OF INTEREST (POI) FROM SATELLITE IMAGERY
Vinayaraj Poliyapram, Alameen Najjar, Kyle Mede, Rakuten Group Inc., Japan
Session:
WEP.P13: Semantic Analysis of Optical Imagery
Poster
Track:
AI and Big Data
Location:
Poster Area 13
Presentation Time:
Wed, 19 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Session Chair:
Sebastian Gapp, German Aerospace Center
Session Managers:
Ge Jiang and HUMAIRA SANAM and Ayoti Banerjee and Srashti Singh
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Session WEP.P13
WEP.P13.1: ATTENTION BASED INTERPOLATION COUPLED WITH FEATURE EXTRACTION FOR LAND COVER CLASSIFICATION USING SPARSE VARIATIONAL GAUSSIAN PROCESSES
Valentine Bellet, Mathieu Fauvel, Jordi Inglada, Centre d'Etudes Spatiales de la Biosphère (CESBIO, Université de Toulouse, CNES/CNRS/INRAe/IRD/UPS) - ANITI, France
WEP.P13.2: ROBUST IMAGE CAPTIONING WITH POST-GENERATION ENSEMBLE METHOD
Ricci Riccardo, Farid Melgani, University of Trento, Italy; José Marcato Junior, Wesley Nunes Gonçalves, Federal University of Mato Grosso do Sul, Brazil, Brazil
WEP.P13.3: DEEP PARALLEL STRUCTURE NETWORK FOR MULTI-SCALE TARGET DETECTION IN REMOTE SENSING IMAGES
Zelin Liu, Xu Zhou, Yin Zhang, Jifang Pei, Weibo Huo, Yulin Huang, University of Electronic Science and Technology of China, China
WEP.P13.4: AUTOMATIC DETECTION OF ABANDONED VINEYARDS USING AERIAL IMAGERY
Igor Teixeira, Joaquim J. Sousa, António Cunha, University of Trás-Os-Montes e Alto Douro, Portugal
WEP.P13.5: A RANDLA-NET-BASED APPROACH TO SEGMENT ROADWAY OBJECTS IN LARGE-SCALE POINT CLOUDS
Xinliang Lu, Deliang Chen, Zhenyu Wang, Haojie Ma, Xuan Ma, Nanjing University of Posts and Telecommunications, China
WEP.P13.6: MSMDFF-NET: MULTI-SCALE FUSION CODER AND MULTI-DIRECTION COMBINED DECODER NETWORK FOR ROAD EXTRACTION FROM SATELLITE IMAGERY
Yuchuan Wang, Ling Tong, Fanghong Xiao, Jiang Wen, Kunlong Fan, Chenhui Zhu, University of Electronic Science and Technology of China, China
WEP.P13.7: FEASIBILITY STUDY TO DETECT FLOATING DEBRIS BY HYPERSPECTRAL MISSION USING ONBOARD AI
Nafiseh (Shima) Ghasemi, Jens Nieke, Marco Celesti, Gianluigi Di Cosimo, European Space Agency (ESTEC), Netherlands; roberto camarero, Ferran Gascon, Nicolas Longepe, Raffaele Vitulli, Marco Rovatti, European Space Agency (ESA), Netherlands
WEP.P13.8: SATPOI-NET: DEEP LEARNING MODEL TO PREDICT THE POINT OF INTEREST (POI) FROM SATELLITE IMAGERY
Vinayaraj Poliyapram, Alameen Najjar, Kyle Mede, Rakuten Group Inc., Japan
WEP.P13.9: TRANSFORMER AND CNN HYBIRD NETWORK FOR SEMANTIC SEGMENTATION OF UAV REMOTE SENSING IMAGES
Xuanyu Zhou, Northeast Petroleum University, China; Lifan Zhou, Shengrong Gong, Changshu Institute of Technology, China
Resources
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