My IGARSS 2019 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

Session Detail

Session Title MOP2.PC: Advanced Methods for Ship Detection
Presentation Mode Poster
Session Time Monday, 29 July, 15:20 - 16:20
Location Room 501-502: Poster Area C
Session ChairPeng Liu, Fudan University

  MOP2.PC.1: A NEW SHIP DETECTION ALGORITHM OF MULTIPLE-TARGET ENVIRONMENT BASED ON MULTI-LAYERED COVOLUTIONAL NEURAL NETWORK IN SAR IMAGERY
         Jiaqiu Ai; Hefei University of Technology
         Ruitian Tian; Hefei University of Technology
         Xuezhi Yang; Hefei University of Technology
         Kai Jiang; 38th Institute, CETC
         Qiwu Luo; Central South University

  MOP2.PC.2: SHIP DETECTION USING THE SURFACE SCATTERING SIMILARITY AND SCATTERING POWER
         Tao Zhang; Shanghai Jiao Tong University
         Zhen Yang; Jiangxi Science and Technology Normal University
         Bo Mao; Nanjing University of Finance and Economics
         Jian Yang; Tsinghua University
         Yifang Ban; KTH Royal Institute of Technology
         Huilin Xiong; Shanghai Jiao Tong University

  MOP2.PC.3: SMALL SAMPLE SET INSHORE SHIP DETECTION FROM OPTICAL REMOTE SENSING IMAGES BASED ON STRUCTURED SPARSE REPRESENTATION
         Yin Zhuang; School of Electronic Engineering and Computer Science, Peking University
         Guanqun Wang; Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing Institute of Technology
         He Chen; Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing Institute of Technology
         Lianlin Li; School of Electronic Engineering and Computer Science, Peking University
         Siru Liu; None
         Fukun Bi; School of Electronic Information Engineering, North China University of Technology

  MOP2.PC.4: REMOTE SENSING SHIP TARGET DETECTION AND RECOGNITION SYSTEM BASED ON MACHINE LEARNING
         Zongling Li; Institute of Spacecraft System Engineering, China Academy of Space Technology
         Luyuan Wang; Institute of Spacecraft System Engineering, China Academy of Space Technology
         Jiyang Yu; Institute of Spacecraft System Engineering, China Academy of Space Technology
         Bowen Cheng; Institute of Spacecraft System Engineering, China Academy of Space Technology
         Liang Hao; Institute of Spacecraft System Engineering, China Academy of Space Technology
         Shuai Jiang; Institute of Spacecraft System Engineering, China Academy of Space Technology
         Zhen Li; Institute of Spacecraft System Engineering, China Academy of Space Technology
         Jianfeng Yin; Institute of Spacecraft System Engineering, China Academy of Space Technology

  MOP2.PC.5: MULTI-SATELLITE SHIP DETECTION USING OPTICAL, HYPERSPECTRAL, AND MICROWAVE SAR REMOTE SENSING DATA IN COASTAL REGIONS
         Jae-Jin Park; Seoul National University
         Kyung-Ae Park; Seoul National University
         Jae-Cheol Jang; Seoul National University
         Ji-Hyun Lee; Seoul National University
         Sangwoo Oh; Korea Research Institute of Ships & Ocean Engineering (KRISO)
         Moonjin Lee; Korea Research Institute of Ships & Ocean Engineering (KRISO)
         June-Beom Jung; Seoul National University

  MOP2.PC.6: ESTIMATION OF SHIP SIZE FROM SATELLITE OPTICAL IMAGE USING ELLIPTIC CHARACTERISTICS OF SHIP PERIPHERY
         Jae-Jin Park; Seoul National University
         Kyung-Ae Park; Seoul National University
         Jae-Cheol Jang; Seoul National University
         June-Beom Jung; Seoul National University

  MOP2.PC.7: AN ON-ORBIT SHIP DETECTION AND CLASSIFICATION ALGORITHM FOR SAR SATELLITE
         Huifeng Shi; State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information
         Guangjun He; State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information
         Pengming Feng; State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information
         Jin Wang; State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information

  MOP2.PC.8: MULTICLASS ORIENTED SHIP LOCALIZATION AND RECOGNITION IN HIGH RESOLUTION REMOTE SENSING IMAGES
         Jiachi Sun; National University of Defense Technology
         Huanxin Zou; National University of Defense Technology
         Zhipeng Deng; National University of Defense Technology
         Xu Cao; National University of Defense Technology
         Meilin Li; National University of Defense Technology
         Qian Ma; National University of Defense Technology

  MOP2.PC.9: VISUAL SALIENCY BASED SHIP EXTRACTION USING IMPROVED BING
         Yihua Tan; Huazhong University of Science and Technology
         Hao Liang; Huazhong University of Science and Technology
         Zengrong Guan; Huazhong University of Science and Technology
         Airong Sun; Wuhan Institute of Technology

  MOP2.PC.10: SHIP DETECTION IN POLARIMETRIC SAR IMAGE BASED ON SIMILARITY TEST
         Xing-Chao Cui; National University of Defense Technology
         Si-Wei Chen; National University of Defense Technology
         Yi Su; National University of Defense Technology

  MOP2.PC.11: SATELLITE IMAGE-BASED SHIP CLASSIFICATION METHOD WITH SENTINEL-1 IW MODE DATA
         Seungryong Kim; Korea Institute of Ocean Science & Technology
         Jeongju Bae; Korea Institute of Ocean Science & Technology
         Chan-Su Yang; Korea Institute of Ocean Science & Technology

  MOP2.PC.12: A TRANSFER LEARNING METHOD OF SHIP IDENTIFICATION BASED ON WEIGHTED HOG FEATURES
         Hongbo Li; Harbin Institute of Technology
         Bin Guo; Harbin Institute of Technology
         Tong Gao; Harbin Institute of Technology
         Hao Chen; Harbin Institute of Technology