MOP.P7.10

A SPECIFIC EMITTER IDENTIFICATION METHOD BASED ON TIME-FREQUENCY FEATURE EXTRACTION

Wenlong Dong, Yuqi Wang, Guangcai Sun, Mengdao Xing, Xidian University, China
Session:
MOP.P7: Machine Learning Approaches in Different Applications Poster
Track:
Data Analysis
Location:
Poster Area 7
Presentation Time:
Mon, 17 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Session Chair:
Yang-Lang Chang, National Taipei University of Technology
Session Managers:
Al Adil Al Hinai and Ivan Arias and Shubham Awasthi and Ayoti Banerjee
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Session MOP.P7
MOP.P7.1: LIGHTWEIGHT CNN FOR CROSS-VIEW GEO-LOCALIZATION USING AERIAL IMAGE
Ryota Yagi, Akira Iwasaki, The University of Tokyo, Japan
MOP.P7.2: UNSUPERVISED DYNAMIC CONVOLUTIONAL NEURAL NETWORK MODEL FOR HYPERSPECTRAL AND MULTISPECTRAL IMAGE FUSION
Haoyang Yu, Zhixin Ling, Dalian Maritime University, China; Ke Zheng, Liaocheng University, China; Jiaxin Li, Chinese Academy of Sciences, China; Siqi Liang, Dalian Maritime University, China; Lianru Gao, Chinese Academy of Sciences, China
MOP.P7.3: Multi-Modal Multi-Task Learning for Semantic Segmentation of Land Cover under Cloudy Conditions
Fang Xu, Wuhan University, China; Yilei Shi, Technical University of Munich, Germany; Wen Yang, Wuhan University, China; Xiao Xiang Zhu, Technical University of Munich, Germany
MOP.P7.4: VISUAL QUESTION ANSWERING IN REMOTE SENSING WITH CROSS-ATTENTION AND MULTIMODAL INFORMATION BOTTLENECK
Jayesh Songara, Shivam Pande, Shabnam Choudhury, Biplab Banerjee, Rajbabu Velmurugan, Indian Institute of Technology Bombay, India
MOP.P7.5: Hyperspectral and SAR Image Classification via Recursive Feature Interactive Fusion Network
Liang Lv, Junyan Lin, Feng Gao, Lin Qi, Junyu Dong, Ocean University of China, China
MOP.P7.6: DEEP SEMANTIC FUSION OF SENTINEL-1 AND SENTINEL-2 SNOW PRODUCTS FOR SNOW MONITORING IN MOUNTAINOUS REGIONS
Thu Trang Le, Abdourrahmane Atto, Emmanuel Trouve, University Savoie Mont Blanc, France; Fatima Karbou, Centre National de Recherches Météorologiques, France
MOP.P7.7: FUSING DIGITAL ELEVATION MAPS WITH SATELLITE IMAGERY FOR FLOOD MAPPING
Marco Stricker, German Research Center for Artificial Intelligence, Germany; Takashi Miyamoto, University of Yamanashi, Germany; Kevin Iselborn, University of Kaiserslautern-Landau, Germany; Marlon Nuske, Andreas Dengel, German Research Center for Artificial Intelligence, Germany
MOP.P7.8: GENERATIVE ADVERSARIAL NETWORKS FOR THE SATELLITE DATA SUPER RESOLUTION BASED ON THE TRANSFORMERS WITH ATTENTION
Mykola Lavreniuk, Space Research Institute NASU-SSAU, Ukraine; Leonid Shumilo, University of Maryland, Ukraine; Alla Lavreniuk, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute, Ukraine
MOP.P7.9: NATURAL LANGUAGE-AIDED REMOTE SENSING IMAGE FEW-SHOT CLASSIFICATION
Deliang Chen, Jianbo Xiao, College of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China; Kyle Gao, epartement of Systems Design Engineering,University of Waterloo, Canada; Yanyan Lu, Institute of Natural Resources and Environment Audit, Nanjing Audit University, China; Sarah Fatholahi, Jonathan Li, Department of Geography and Environmental Management and Department of Systems Design Engineering, University of Waterloo, Canada
MOP.P7.10: A SPECIFIC EMITTER IDENTIFICATION METHOD BASED ON TIME-FREQUENCY FEATURE EXTRACTION
Wenlong Dong, Yuqi Wang, Guangcai Sun, Mengdao Xing, Xidian University, China
Resources
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