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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

FR2.MM-6.10

INVARIANT SUBMERGED MATERIAL RECOGNITION WITH FLUORESCENCE LIDAR AND SPARSITY-BASED APPROACHES

Stefania Matteoli, Consiglio Nazionale delle Ricerche, Italy; Giovanni Corsini, Università di Pisa, Italy; Marco Diani, Accademia Navale, Italy
Session:
Data Analysis Techniques in Remote Sensing
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Fri, 16 Jul, 11:45-11:50 (UTC)
Fri, 16 Jul, 13:45-13:50 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 19:45-19:50 China Standard Time (UTC +8)
Fri, 16 Jul, 07:45-07:50 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Mark Andrews, The Ohio State University and Yi-Jie Yang, University of Kiel
Session Manager:
Simon van Diepen
Presentation
Discussion
Resources
Session FR2.MM-6
FR2.MM-6.1: SCALE EXPANSION PYRAMID NETWORK FOR CROSS-SCALE OBJECT DETECTION IN SAR IMAGES
Zheng Zhou, Rui Guan, Zongyong Cui, Zongjie Cao, Yiming Pi, Jianyu Yang, University of Electronic Science and Technology of China, China
FR2.MM-6.2: A COMPLETE BUILDING EXTRACTION FRAMEWORK FOR AIRBORNE LASER SCANNING POINT CLOUD
Chunhui Zhao, Hemin Lin, Yiming Yan, Nan Su, Harbin Engineering University, China; Shu Tian, Harbin Institute of Technology, China
FR2.MM-6.3: AI Mapping Risks to Wildlife in Tanzania: Rapid scanning aerial images to flag the changing frontier of human-wildlife proximity
Zhuang-Fang Yi, Development Seed, United States; Howard Frederick, Tanzania Conservation Resource Center, Tanzania; Ruben Lopez, Ryan Avery, Lane Goodman, Development Seed, United States
FR2.MM-6.4: Fully automated SAR based oil spill detection using YOLOv4
Yi-Jie Yang, University of Kiel, Germany; Suman Singha, German Aerospace Center (DLR), Germany; Roberto Mayerle, University of Kiel, Germany
FR2.MM-6.5: ONE-STAGE DETECTOR FROM COARSE TO FINE FOR ROTATING OBJECT OF REMOTE SENSING
Zhiguo Li, Yuan Yuan, Dandan Ma, Northwestern Polytechnical University, China
FR2.MM-6.6: A HOG FEATURE FUSION METHOD TO IMPROVE CNN-BASED SAR SHIP CLASSIFICATION ACCURACY
Tianwen Zhang, Xiaoling Zhang, Jun Shi, Shunjun Wei, University of Electronic Science and Technology of China, China
FR2.MM-6.7: A MOVING TARGET DETECTION METHOD BASED ON YOLO FOR DUAL-BEAM SAR
Xinxin Tang, Xiaoling Zhang, Jun Shi, Shunjun Wei, University of Electronic Science and Technology of China, China
FR2.MM-6.8: ORIENTED SPATIAL CORRELATIVE ALIGNED FEATURE FOR REMOTE SENSING OBJECT DETECTION
Guangmiao Guo, Leyuan Fang, Hunan University, China; Jun Yue, Changsha University of Science and Technology, China
FR2.MM-6.9: Automatic Detection of Building in Medium Density Image Using Morphological Operation
Karuna Kirwale, Marathwada University, India
FR2.MM-6.10: INVARIANT SUBMERGED MATERIAL RECOGNITION WITH FLUORESCENCE LIDAR AND SPARSITY-BASED APPROACHES
Stefania Matteoli, Consiglio Nazionale delle Ricerche, Italy; Giovanni Corsini, Università di Pisa, Italy; Marco Diani, Accademia Navale, Italy

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