TUP1.PG: Deep Learning for Multi-channel SAR processing: Current State of Art and Future Trends in the Application of Deep Learning for 3D Reconstruction I
Tuesday, 5 August, 09:15 - 10:30
Location: Poster Area
Session Type: Poster
Session Co-Chairs: Giampaolo Ferraioli, Università degli Studi di Napoli Parthenope and Sergio Vitale, University of Naples Parthenope
Track: Community-Contributed Sessions
Poster Area

TUP1.PG.1: FAST GENERATIVE LEARNING FRAMEWORK FOR MMWAVE RADAR IMAGING
Mou Wang, Yifei Hu, Jiahao Zhang, Shunjun Wei, Jun Shi, Xiaoling Zhang, University of Electronic Science and Technology of China, China
Poster Area

TUP1.PG.2: ECHO COMPLETION BASED ON NAF-NET FOR NEAR-FIELD RADAR IMAGING
Mou Wang, Yifei Hu, Jiahao Zhang, Hao Zhang, Shunjun Wei, Jun Shi, Xiaoling Zhang, University of Electronic Science and Technology of China, China
Poster Area

TUP1.PG.3: Towards One-Shot Array-SAR Enhanced Imaging Through Adjacent-Pixel Similarity
Zhenxiao Zhou, Tianjiao Zeng, Mou Wang, Jun Shi, Shunjun Wei, Xiaoling Zhang, Xu Zhan, University of Electronic Science and Technology of China, China
Poster Area

TUP1.PG.4: A NEW LEARNABLE RADAR IMAGE JAMMING SUPPRESSION METHOD
Jiaqing Jiang, Shuang Li, Ganggang Dong, National Key Laboratory of Radar Signal Processing, China