MOPB.PA.52

MULTI-MODAL TARGET DETECTION METHOD BASED ON ADAPTIVE FEATURE SEARCH

Jinpeng Wang, Su Nan, Harbin Engineering University, China; Minghui Sha, Beijing Institute of Radio Measurement, China; Chunhui Zhao, Yiming Yan, Shou Feng, Yun Lin, Harbin Engineering University, China; Yingshen Zhu, Beijing Institute of Radio Measurement, China

Session:
MOPB.PA: Datasets and Benchmarking in Remote Sensing: Towards Large-Scale, Multi-Modality and Sustainability II Poster

Track:
Community-Contributed Sessions

Location:
Poster Area 4: Trianti Balcony

Presentation Time:
Mon, 8 Jul, 15:20 - 16:20

Session Chair:
Kaiqiang Chen, Aerospace Information Research Institute, Chinese Academy of Sciences
Presentation
Discussion
Resources
No resources available.
Session MOPB.PA
MOPB.PA.50: INCREASING DATA ACCESS IN MULTI-SENSOR AIRBORNE CAMPAIGNS: LESSONS FROM BIOSCAPE IN SOUTH AFRICA
Anabelle Cardoso, University at Buffalo, United States; Philip Brodrick, Jet Propulsion Laboratory, United States; Adam Wilson, University at Buffalo, United States; Jasper Slingsby, University of Cape Town, South Africa; Cherie Forbes, University at Buffalo, United States; Michele Thornton, Oak Ridge National Laboratory Distributed Data Archiving Center, United States; Erin Hestir, University of California Merced, United States
MOPB.PA.51: MUDDAT: A SENTINEL-2 IMAGE-BASED MUDDY WATER BENCHMARK DATASET FOR ENVIRONMENTAL MONITORING.
Christos Psychalas, Konstantinos Vlachos, Anastasia Moumtzidou, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris, Centre for Research & Technology Hellas, Information Technologies Institute, Greece
MOPB.PA.52: MULTI-MODAL TARGET DETECTION METHOD BASED ON ADAPTIVE FEATURE SEARCH
Jinpeng Wang, Su Nan, Harbin Engineering University, China; Minghui Sha, Beijing Institute of Radio Measurement, China; Chunhui Zhao, Yiming Yan, Shou Feng, Yun Lin, Harbin Engineering University, China; Yingshen Zhu, Beijing Institute of Radio Measurement, China
MOPB.PA.53: FAIR1M-GQA: FINE-GRAINED GROUNDED QUESTION ANSWERING DATASET IN REMOTE SENSING
Huiyang Hu, University of Chinese Academy of Sciences, China; Peijin Wang, Yingchao Feng, Wenhui Diao, Ziqi Zhang, Xiaoyu Liu, Xian Sun, Kun Fu, Chinese Academy of Sciences, China
MOPB.PA.54: Major TOM: Expandable Datasets for Earth Observation
Alistair Francis, Mikolaj Czerkawski, European Space Agency, Italy
MOPB.PA.55: VIGEN500K: A SUSTAINABLE-EXPANSION IMAGE-TEXT ALIGNED DATASET FOR REMOTE SENSING
Boyuan Tong, Runyan Du, University of Chinese Academy of Sciences, China; Wenkai Zhang, Jihao Li, Shuoke Li, Key Laboratory of Network Information System Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Chongyang Li, University of Chinese Academy of Sciences, China; Zhi Guo, Xian Sun, Guangluan Xu, Key Laboratory of Network Information System Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, China
MOPB.PA.56: A multimodal dataset for forest damage detection using machine learning
Hanna Yailymova, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine; Bohdan Yailymov, Space Research Institute NAS of Ukraine and SSA of Ukraine, Ukraine; Yevhenii Salii, Volodymyr Kuzin, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine; Andrii Odruzhenko, National University of Life and Environmental Sciences of Ukraine, Ukraine; Serhii Sydorenko, Wageningen University, Netherlands; Andrii Shelestov, Nataliia Kussul, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine
MOPB.PA.57: UBC-CN: FINE-GRAINED BUILDING EXTRACTION DATASET FOR CHINESE REGIONS
Kaiqiang Chen, Xingliang Huang, Taowei Sheng, Xian Sun, Chinese Academy of Sciences, China; Hai Huang, Universit ̈at der Bundeswehr M ̈unchen, Germany
MOPB.PA.58: THE TANDEM-X 30M EDITED DEM RELEASED FOR SCIENTIFIC USE
Carolina Gonzalez, Jose Luis Bueso Bello, Markus Bachmann, Paola Rizzoli, DLR, Germany
Resources
No resources available.