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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

WE2.MM-14.8

HYPERSHARPENING BY A MULTIPLICATIVE JOINT-CRITERION NMF METHOD ADDRESSING SPECTRAL VARIABILITY

Moussa Sofiane Karoui, Fatima Zohra Benhalouche, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Algeria; Salah Eddine Brezini, Yannick Deville, Institut de Recherche en Astrophysique et Planétologie, France; Yasmine Kheira Benkouider, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Algeria
Session:
Image Fusion
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Wed, 14 Jul, 11:35-11:40 (UTC)
Wed, 14 Jul, 13:35-13:40 Central Europe Summer Time (UTC +2)
Wed, 14 Jul, 19:35-19:40 China Standard Time (UTC +8)
Wed, 14 Jul, 07:35-07:40 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Gemine Vivone, National Research Council - Institute of Methodologies for Environmental Analysis (CNR - IMAA) and Paolo Addesso, Università degli Studi di Salerno | UNISA
Session Manager:
Xiaohui Pan
Presentation
Discussion
Resources
Session WE2.MM-14
WE2.MM-14.1: FUSING SENTINEL-2 SATELLITE IMAGES AND AERIAL RGB IMAGES
Jakob Sigurdsson, Magnús Örn Ulfarsson, Jóhannes Rúnar Sveinsson, University of Iceland, Iceland
WE2.MM-14.2: HNU-HMIF: A UAV-BORNE DATASET FOR HYPERSPECTRAL AND MULTISPECTRAL IMAGE FUSION
Congyu Li, Xinxin Liu, Xudong Kang, Shutao Li, Hunan University, China
WE2.MM-14.3: A EXTREMELY FAST SPATIO-TEMPORAL FUSION METHOD FOR REMOTELY SENSED IMAGES
Yunfei Li, Jun Li, Sun Yat-Sen University, China; Shaoquan Zhang, Nanchang Institute of Technology, China
WE2.MM-14.4: PANSHARPENING OF HYPERSPECTRAL IMAGES WITH DETAIL GUIDED FEATURE MODULATION
Yuxuan Zheng, Jiaojiao Li, Yunsong Li, Kailang Cao, Keyan Wang, Xidian University, China
WE2.MM-14.5: LEARNING IMAGE DOWNSCALING FOR PANSHARPENING USING AN IMPROVED UNET
Mohammed El Amin Larabi, Algerian Space Agency, Algeria; Meziane Iftene, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Algeria; Mohammed Ilyes Tchenar, State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China; Khadidja Bakhti, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Algeria
WE2.MM-14.6: PROGRESSIVE BAND-SEPARATED CONVOLUTIONAL NEURAL NETWORK FOR MULTISPECTRAL PANSHARPENING
Shi-Shi Xiao, Cheng Jin, Tian-Jing Zhang, Ran Ran, Liang-Jian Deng, University of Electronic Science and Technology of China, China
WE2.MM-14.7: FUSION OF SPACEBORNE AND AIRBORNE SAR IMAGES USING SALIENCY AND FUZZY LOGIC FOR VESSEL DETECTION
Dong Zhu, Huazhong University of Science and Technology, China; Xueqian Wang, Gang Li, Tsinghua University, China; Xiao-Ping Zhang, Ryerson University, Canada
WE2.MM-14.8: HYPERSHARPENING BY A MULTIPLICATIVE JOINT-CRITERION NMF METHOD ADDRESSING SPECTRAL VARIABILITY
Moussa Sofiane Karoui, Fatima Zohra Benhalouche, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Algeria; Salah Eddine Brezini, Yannick Deville, Institut de Recherche en Astrophysique et Planétologie, France; Yasmine Kheira Benkouider, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Algeria
WE2.MM-14.9: A SURVEY OF HYPERSPECTRAL IMAGE SUPER-RESOLUTION TECHNOLOGY
Meilin Zhang, China University of Geosciences, China; Xiongli Sun, Wuhan University, China; Qiqi Zhu, Guizhou Zheng, China University of Geosciences, China
WE2.MM-14.10: BAND INDEPENDENT RESIDUAL NETWORKS FOR OPTICAL REMOTE SENSING IMAGES FUSION
Mohammed El Amin Larabi, Algerian Space Agency, Algeria; Meziane Iftene, Agence Spatiale Algérienne, Algeria; Mohammed Ilyas Tchenar, State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China; Khadidja Bakhti, Kamel Hasni, Agence Spatiale Algérienne, Algeria

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