IEEE IGARSS 2021 || Brussels, Belgium || July 12–14, 2021 • Physical

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

Session:

Data Analysis Techniques in Remote Sensing

Track:

Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

Presentation Time:

Fri, 16 Jul, 11:25-11:30 (UTC)
Fri, 16 Jul, 13:25-13:30 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 19:25-19:30 China Standard Time (UTC +8)
Fri, 16 Jul, 07:25-07:30 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

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

A HOG FEATURE FUSION METHOD TO IMPROVE CNN-BASED SAR SHIP CLASSIFICATION ACCURACY

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