TUP.P15.9

MULTI-TASK GENERATIVE ADVERSARIAL NETWORKS FOR SEMANTIC-GUIDED REMOTE SENSING IMAGE GENERATION

Yushu Gong, Yuxia Li, University of Electronic Science and Technology of China, China; Lei He, Chengdu University of Information Technology, China; Yongqiang Xia, Yizhuo Yang, Zhonggui Tong, University of Electronic Science and Technology of China, China
Session:
TUP.P15: Machine Learning for Image Processing and Synthesis Poster
Track:
AI and Big Data
Location:
Poster Area 15
Presentation Time:
Tue, 18 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Session Chair:
Umur Aybars Ciftci, Binghamton University
Session Managers:
Ge Jiang and Lanying Wang and Ayoti Banerjee and Shubham Awasthi
Presentation
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Discussion
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Resources
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Session TUP.P15
TUP.P15.1: Simulation-based learning of neural interpolation methods for the mapping of real altimetry data
Quentin Febvre, IMT Atlantique, France; Julien LE SOMMER, Institut Geoscience de l'environnement, France; Clément Ubelmann, Datlas, France; Ronan Fablet, IMT Atlantique, France
TUP.P15.2: A NEW DEEP-LEARNING APPROACH FOR THE SUB-PIXEL REGISTRATION OF SATELLITE IMAGES CONTAINING SHARP DISPLACEMENT DISCONTINUITIES
Tristan Montagnon, James Hollingsworth, Erwan Pathier, Mathilde Marchandon, Mauro Dalla Mura, Sophie Giffard-Roisin, Université Grenoble Alpes, France
TUP.P15.3: Unsupervised Multi-Spectral Image Super-Resolution Based on Conditional Variational AutoEncoder
Zhexin Han, Beihang University, China; Ning Zhao, China Academy of Space Technology, China; Haopeng Zhang, Zhiguo Jiang, Beihang University, China
TUP.P15.4: FILTERED RESIDUAL COMPRESSION FOR SATELLITE IMAGES
Pascal Bacchus, INRIA, France; Renaud Fraisse, Airbus, France; Christine Guillemot, Aline Roumy, INRIA, France
TUP.P15.5: TOWARDS UNSUPERVISED MULTI-TEMPORAL SATELLITE IMAGE SUPER-RESOLUTION
Nicola Prette, Diego Valsesia, Tiziano Bianchi, Enrico Magli, Politecnico di Torino, Italy
TUP.P15.6: PROBA-V MULTI-TEMPORAL SUPER-RESOLUTION GUIDED BY SENTINEL-2
Gabriele Inzerillo, Diego Valsesia, Enrico Magli, Politecnico di Torino, Italy; Fabrizio Niro, Erminia De Grandis, Serco c/o ESA/ESRIN, Italy
TUP.P15.7: SEMANTIC INFORMATION-AIDED GEOMETRIC CORRECTION OF HIGH RESOLUTION SATELLITE IMAGES
Haoyu Guo, Yi Wan, Yongjun Zhang, Wuhan University, China
TUP.P15.8: SUPER-RESOLUTION OF REMOTE SENSING IMAGERY USING IMPLICIT DEGRADATION MODELING
Han Oh, Dongjin Kim, Sun Gu Lee, Daewon Chung, Korea Aerospace Research Institute, South Korea
TUP.P15.9: MULTI-TASK GENERATIVE ADVERSARIAL NETWORKS FOR SEMANTIC-GUIDED REMOTE SENSING IMAGE GENERATION
Yushu Gong, Yuxia Li, University of Electronic Science and Technology of China, China; Lei He, Chengdu University of Information Technology, China; Yongqiang Xia, Yizhuo Yang, Zhonggui Tong, University of Electronic Science and Technology of China, China
TUP.P15.10: MASTER GAN: MULTIPLE ATTENTION IS ALL YOU NEED: A MULTIPLE ATTENTION GUIDED SUPER RESOLUTION NETWORK FOR DEMS
Azhan Mohammed, Mohammad Kashif, Md Haider Zama, Mohammad Abbas Ansari, Saquib Ali, Jamia Millia Islamia, India
TUP.P15.11: Novel Deep Learning Framework for Imputing Holes in Orthorectified VHR Images
Sai Venkata Vinay Kumar Samudrala, Yifan Zhao, Ranga Raju Vatsavai, North Carolina State University, United States
TUP.P15.12: REMOTE SENSING IMAGE COMPRESSION ALGORITHM BASED ON NEURAL NETWORK ARCHITECTURE EVOLUTION
Li Wen, Zezhong MA, Chongqing Geomatics and Remote Sensing Center, China; Penglong Li, Chongqing Geomatics and Remote Sensing Center, Central South University, China; Yi Ding, Ying Ao, Yan Hu, Tao Zhang, Chongqing Geomatics and Remote Sensing Center, China
Resources
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