THP2.PF: Data Fusion III

Session Type: Poster
Time: Thursday, July 26, 15:50 - 16:50
Location: Poster Area F
Session Chairs: Florence Tupin, Télécom ParisTech and Pedram Ghamisi, German Aerospace Center (DLR) and Technical University of Munich (TUM)
 
THP2.PF.1: A NEW REGISTRATION ALGORITHM FOR MULTIMODAL REMOTE SENSING IMAGES
         Xunwei Xie; School of Remote Sensing and Information Engineering
         Yongjun Zhang; School of Remote Sensing and Information Engineering
         Xiao Ling; School of Remote Sensing and Information Engineering
         Xiang Wang; School of Remote Sensing and Information Engineering
 
THP2.PF.2: THE USE OF MULTIFREQUENCY SAR DATA FOR ASSESSING LEVELS OF FOREST DISTURBANCE IN BAJO CALIMA COLOMBIA
         Ana María Pacheco-Pascagaza; University of Leicester
         Mariano Garcia; University of Alcalá
         Pedro Rodríguez-Veiga; University of Leicester
         Heiko Balzter; University of Leicester
 
THP2.PF.3: CAN SAR IMAGES AND OPTICAL IMAGES TRANSFER WITH EACH OTHER?
         Lei Liu; Institute of Electronics, Chinese Academy of Sciences
         Bin Lei; Institute of Electronics, Chinese Academy of Sciences
 
THP2.PF.4: A COMPARISON OF TWO SPATIO-TEMPORAL DATA FUSION SCHEMES TO INCREASE THE SPATIAL RESOLUTION OF MAPPING ACTUAL EVAPOTRANSPIRATION
         Tong Wang; State Key Laboratory of Resources and Environment Information System
         Ronglin Tang; State Key Laboratory of Resources and Environment Information System
         Zhao-Liang Li; Key Laboratory of Agri-informatics
         Bo-Hui Tang; State Key Laboratory of Resources and Environment Information System
         Hua Wu; State Key Laboratory of Resources and Environment Information System
         Yazhen Jiang; University of Chinese Academy of Sciences
         Meng Liu; State Key Laboratory of Resources and Environment Information System
 
THP2.PF.5: A DEEP FUSION NETWORK FOR CLASSIFYING HR REMOTE SENSING IMAGES
         Yunfeng Zhang; Fudan University
         Mingmin Chi; Fudan University
 
THP2.PF.6: A REMOTE SENSING SPATIOTEMPORAL FUSION MODEL OF LANDSAT AND MODIS DATA VIA DEEP LEARNING
         Peiyu Dai; Wuhan University
         Hongyan Zhang; Wuhan University
         Liangpei Zhang; Wuhan University
         Huanfeng Shen; Wuhan University
 
THP2.PF.7: HYPERSPECTRAL AND MULTISPECTRAL IMAGE FUSION WITH DUAL-SOURCE SPATIAL-SPECTRAL DICTIONARY
         Jin Tian; Northwestern Polytechnical University
         Yifan Zhang; Northwestern Polytechnical University
         Yang Lu; Northwestern Polytechnical University
         Shaohui Mei; Northwestern Polytechnical University
 
THP2.PF.8: MULTITEMPORAL MID-INFRARED IMAGERY BASED CALIBRATION AND SUPER RESOLUTION FOR GAOFEN-4
         Feng Li; Qian Xuesen Laboratory of Space Technology
         Lei Xin; Qian Xuesen Laboratory of Space Technology
         Yi Guo; Western Sydney University
         Xiuping Jia; University of New South Wales
 
THP2.PF.9: GENERATIVE ADVERSARIAL NETWORK BASED THIN CLOUD REMOVAL FOR REMOTE SENSING IMAGES
         Zhengming Wang; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Lizhe Wang; China Univ. of Geosciences (CUG), Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Peng Liu; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
 
THP2.PF.10: PAN-SHARPENING BASED ON MULTILEVEL COUPLED DEEP NETWORK
         Wanting Cai; Nanjing University of Science and Technology
         Yang Xu; Nanjing University of Science and Technology
         Zebin Wu; Nanjing University of Science and Technology
         Hongyi Liu; School of Science
         Ling Qian; Nanjing University of Science and Technology
         Zhihui Wei; Nanjing University of Science and Technology