MO4.R1: Target Detection in SAR Images

Session Type: Oral
Time: Monday, July 23, 16:50 - 18:30
Location: Room 1D
Session Chair: Christian Bignami, Istituto Nazionale di Geofisica e Vulcanologia
 
16:50 - 17:10
MO4.R1.1: ROLLABLE LATENT SPACE FOR AZIMUTH INVARIANT SAR TARGET RECOGNITION
         Kazutoshi Sagi; NEC Corporation
         Takahiro Toizumi; NEC Corporation
         Yuzo Senda; NEC Corporation
 
17:10 - 17:30
MO4.R1.2: INSHORE SHIP DETECTION IN SAR IMAGES BASED ON DEEP NEURAL NETWORKS
         Lei Liu; Institute of Electronics, Chinese Academy of Sciences
         Guowei Chen; Institute of Electronics, Chinese Academy of Sciences
         Zongxu Pan; Institute of Electronics, Chinese Academy of Sciences
         Bin Lei; Institute of Electronics, Chinese Academy of Sciences
         Quanzhi An; Institute of Electronics, Chinese Academy of Sciences
 
17:30 - 17:50
MO4.R1.3: ACHIEVING SAR TARGET CONFIGURATION RECOGNITION BY COMBINING SPARSE GRAPH AND LOCALITY PRESERVING PROJECTIONS
         Ming Liu; Shaanxi Normal University
         Shichao Chen; Xi'an Modern Control Technology Research Institute
         Fugang Lu; Xi'an Modern Control Technology Research Institute
         Jun Wang; Xi'an Modern Control Technology Research Institute
         Jie Wu; Shaanxi Normal University
         Taoli Yang; University of Electronic Science and Technology of China
 
17:50 - 18:10
MO4.R1.4: THE INFLUENCE OF SAR IMAGE QUANTIZATION METHOD ON DETECTION PRECISION
         Bing Sun; Beihang University
         Zhixiong Zuo; Beihang University
         Pengbo Wang; Beihang University
 
18:10 - 18:30
MO4.R1.5: IDENTITY REGULARIZED SPARSE REPRESENTATION FOR AUTOMATIC TARGET RECOGNITION IN SAR IMAGES
         Zongxu Pan; Institute of Electronics, Chinese Academy of Sciences
         Lei Liu; Institute of Electronics, Chinese Academy of Sciences
         Bin Lei; Institute of Electronics, Chinese Academy of Sciences