MO4.R1: Target Detection in SAR Images |
Session Type: Oral
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Time: Monday, July 23, 16:50 - 18:30
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Location: Room 1D
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Session Chair: Christian Bignami, Istituto Nazionale di Geofisica e Vulcanologia
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16:50 - 17:10 |
MO4.R1.1: ROLLABLE LATENT SPACE FOR AZIMUTH INVARIANT SAR TARGET RECOGNITION
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Kazutoshi Sagi; NEC Corporation |
Takahiro Toizumi; NEC Corporation |
Yuzo Senda; NEC Corporation |
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17:10 - 17:30 |
MO4.R1.2: INSHORE SHIP DETECTION IN SAR IMAGES BASED ON DEEP NEURAL NETWORKS
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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 |
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17:30 - 17:50 |
MO4.R1.3: ACHIEVING SAR TARGET CONFIGURATION RECOGNITION BY COMBINING SPARSE GRAPH AND LOCALITY PRESERVING PROJECTIONS
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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 |
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17:50 - 18:10 |
MO4.R1.4: THE INFLUENCE OF SAR IMAGE QUANTIZATION METHOD ON DETECTION PRECISION
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Bing Sun; Beihang University |
Zhixiong Zuo; Beihang University |
Pengbo Wang; Beihang University |
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18:10 - 18:30 |
MO4.R1.5: IDENTITY REGULARIZED SPARSE REPRESENTATION FOR AUTOMATIC TARGET RECOGNITION IN SAR IMAGES
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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 |
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