17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

Preserving Our Heritage, Enabling Our Future Through Remote Sensing

17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

TU5.V2.4

IMAGE ENHANCEMENT OF 3-D SAR VIA U-NET FRAMEWORK

Rong Shen, Shunjun Wei, Zichen Zhou, Jiadian Liang, Xiaoling Zhang, Jun Shi, School of Information and Communication Engineering University of Electronic Science and Technology of China, China
Session:
SAR Imaging Techniques: Methods and Machine Learning Oral Virtual
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Location:
Virtual Room 2
Presentation Time:
Tue, 19 Jul, 20:35 - 20:50 Malaysia Time (UTC +8)
Tue, 19 Jul, 14:35 - 14:50 Central European Time (UTC +1)
Tue, 19 Jul, 12:35 - 12:50 UTC
Tue, 19 Jul, 08:35 - 08:50 Eastern Time (UTC -5)
Session Co-Chairs:
Ronny Hänsch, DLR and Carlos Lopez-Martinez, UPC
Session Manager:
Nik Zainun Nik Mood
Presentation
Discussion
Resources
No resources available.
Session TU5.V2
TU5.V2.1: An unfolded deep network for SAR imaging based on general regularization and S-TLS model
Min Li, Weibo Huo, Ruili Jiang, Junjie Wu, Zhongyu Li, Jianyu Yang, University of Electronic Science and Technology of China, China; Ke Du, Shanghai Radio Equipment Research Institute, China
TU5.V2.2: SAR IMAGE RECONSTRUCTION OF NON-SPARSE SCENE VIA DEEP NSR-NET
Ruili Jiang, Min Li, Hongyang An, Zhongyu Li, Junjie Wu, Jianyu Yang, University of Electronic Science and Technology of China, China
TU5.V2.3: RADIO FREQUENCY INTERFERENCE SUPPRESSION IN SAR SYSTEM USING PRIOR-INDUCED DEEP NEURAL NETWORK
Jiayuan Shen, Bing Han, Zongxu Pan, Yuxin Hu, Wen Hong, Chibiao Ding, Aerospace Information Research Institute, Chinese Academy of Sciences, China
TU5.V2.4: IMAGE ENHANCEMENT OF 3-D SAR VIA U-NET FRAMEWORK
Rong Shen, Shunjun Wei, Zichen Zhou, Jiadian Liang, Xiaoling Zhang, Jun Shi, School of Information and Communication Engineering University of Electronic Science and Technology of China, China
TU5.V2.5: A NOVEL HOG-BASED TEMPLATE MATCHING METHOD FOR SAR AND OPTICAL IMAGE
Deyu Song, Lan Liu, Xiangyin Zhang, Kaiyu Qin, Libo Wang, University of Electronic Science and Technology of China, China