MO1.R1: Deep Learning for Image Processing
Mon, 17 Jul, 13:00 - 14:15 Pacific Time (UTC -7)
Location: Room 1
Session Type: Oral
Track: Data Analysis
Mon, 17 Jul, 13:00 - 13:12 Pacific Time (UTC -7)

MO1.R1.1: HIERARCHICAL SUPERPIXEL RELATION GRAPH COMBINED WITH CONVOLUTIONAL SPARSE CODING FOR SELF-SUPERVISED HYPERSPECTRAL IMAGE DENOISING
Zhongshun Jiang, Yuntao Qian, Zhejiang University, China; Qipeng Qian, University of Arizona, United States; Yi Qiu, Huzhou University, China
Mon, 17 Jul, 13:12 - 13:24 Pacific Time (UTC -7)

MO1.R1.2: NEAR-FIELD SAR IMAGE RESTORATION FRAMEWORK VIA DEEP LEARNING
Wensi Zhang, Xiaoling Zhang, Jun Shi, Shunjun Wei, Tianjiao Zeng, University of Electronic Science and Technology of China, China
Mon, 17 Jul, 13:24 - 13:36 Pacific Time (UTC -7)

MO1.R1.3: DESPECKLING OF SAR IMAGES USING CNN AND MULTIRESOLUTION FUSION
Dusan Gleich, Primoz Smogavec, University of Maribor, Slovenia
Mon, 17 Jul, 13:36 - 13:48 Pacific Time (UTC -7)

MO1.R1.4: MULTIMODAL REMOTE SENSING IMAGE MATCHING COMBINING LEARNING FEATURES AND SELF-ATTENTION MECHANISM
Yongxian Zhang, Guorui Ma, Jiao Wu, Haiming Zhang, Bin Wang, Wuhan University, China
Mon, 17 Jul, 13:48 - 14:00 Pacific Time (UTC -7)

MO1.R1.5: CONVOLUTIONAL AUTOENCODER MODEL FOR HYPERSPECTRAL MULTI-SENSOR SATELLITE DATA COMPRESSION
Jannick Kuester, Wolfgang Gross, Simon Schreiner, Wolfgang Middelmann, Fraunhofer IOSB, Germany; Michael Heizmann, Karlsruhe Institute of Technology, Germany
Mon, 17 Jul, 14:00 - 14:15 Pacific Time (UTC -7)

MO1.R1.D: Discussion