THP.P9.1

FUNCTION IDENTIFICATION OF PLASTIC MATERIALS BASED ON A COMBINED USE OF HYPERSPECTRAL PRISMA AND HIGH-RESOLUTION SENTINEL-2 DATA USING DEEP LEARNING ALGORITHMS

Shanyu Zhou, Lichao Mou, Technical University of Munich, Germany; Lixian Zhang, Tsinghua University, Germany; Yuansheng Hua, Technical University of Munich, Germany; Hermann Kaufmann, GeoForschungsZentrum, Germany; Xiaoxiang Zhu, Technical University of Munich, Germany
Session:
THP.P9: Machine Learning for Optical Data Analysis II Poster
Track:
Data Analysis
Location:
Poster Area 9
Presentation Time:
Thu, 20 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Session Chair:
Mario Parente, University of Massachusetts, Amherst
Session Managers:
HUMAIRA SANAM and Ayoti Banerjee and Imara Mohamed Nazar and sunni kanta prasad kushwaha
Presentation
Not logged in.
Discussion
Not logged in.
Resources
No resources available.
Session THP.P9
THP.P9.1: FUNCTION IDENTIFICATION OF PLASTIC MATERIALS BASED ON A COMBINED USE OF HYPERSPECTRAL PRISMA AND HIGH-RESOLUTION SENTINEL-2 DATA USING DEEP LEARNING ALGORITHMS
Shanyu Zhou, Lichao Mou, Technical University of Munich, Germany; Lixian Zhang, Tsinghua University, Germany; Yuansheng Hua, Technical University of Munich, Germany; Hermann Kaufmann, GeoForschungsZentrum, Germany; Xiaoxiang Zhu, Technical University of Munich, Germany
THP.P9.2: HYPERSPECTRAL IMAGE CLASSIFICATION USING MUTUAL NEAREST NEIGHBOUR CLUSTERING
Aruna Flarence R, Atul Negi, University of Hyderabad, India
THP.P9.3: DATA STREAM UNSUPERVISED PARTITIONING BASED ON OPTIMIZED FUZZY C-MEANS
Yuding Wang, Kacem Chehdi, Claude Cariou, Benoit Vozel, University of Rennes, France
THP.P9.4: AUTONOMOUS PARTITIONING OF HYPERSPECTRAL IMAGES IN MAIN CATEGORIES AND FINE CLASSES
Jihan Alameddine, Kacem Chehdi, Claude Cariou, University of Rennes, France
THP.P9.5: SEMI-SUPERVISED CLASSIFICATION OF HYPERSPECTRAL IMAGES BASED ON CONTRASTIVE LEARNING CONSTRAINT
Junyuan Ding, Yue Wen, Weixin Ren, Lei Zhang, Wei Wei, Northwestern Polytechnical University, China
THP.P9.6: LITHOTYPE CLASSIFICATION IN GEOTHEMAL AREA BY THE USE OF HYPERSPECTRAL DATA
Federico Rabuffi, Istituto Nazionale di Geofisica e Vulcanologia, Italy; Kerry Cawse-Nicholson, Simon J. Hook, Jet Propulsion Laboratory, United States; Massimo Musacchio, Malvina Silvestri, Maria Fabrizia Buongiorno, Istituto Nazionale di Geofisica e Vulcanologia, Italy
THP.P9.7: MICLUST: A CLUSTERING ALGORITHM FOR HIGH DIMENSIONAL DATA
Namita Jain, Susmita Ghosh, Jadavpur university, India; Emmett J. Ientilucci, Rochester Institute of Technology, United States
THP.P9.8: IMPACT OF TRAINING DATA SIZE ON CLASSIFIERS WHEN COARSE RESOLUTION IMAGERIES WERE USED FOR REGIONAL LAND COVER MAPPING
Tesfaye Adugna, Yangtze Delta Region Institute of University of Electronic Science and Technology of China, China; Haitao Jia, Wenbo Xu, Xin Luo, University of Electronic Science and Technology of China, China; Jinlong Fan, China Meteorological Administration, China
THP.P9.9: GENERATIVE AUGMENTATION FOR SKY/CLOUD IMAGE SEGMENTATION
Avnish Kumar, Zonda Satellite, United Kingdom; Mayank Jain, Soumyabrata Dev, ADAPT SFI Research Centre, University College Dublin, Ireland, Ireland
THP.P9.10: IMPROVED SELF-SUPERVISED TEXTURE RECOGNITION OF MASTCAM IMAGES BY ELIMINATING MIXED TERRAIN AND RANGE PATCHES
Tejas Panambur, Mario Parente, University of Massachusetts, Amherst, United States
THP.P9.11: MONITRING OF WILDFIRES FOR THE TRANSMISSION LINE BASED ON HIMAWARI-8
Hongze Dong, Chen Xie, Haoyu Zhang, University of Electronic Science and Technology of China, China; Guoqing Zhou, Guilin University of Technology, China; Zezhong zheng, University of Electronic Science and Technology of China, China; Yi Ma, Fangrong Zhou, Yunnan Power Grid Company Ltd, China; Xuefeng Yang, China Railway Eryuan Engineering Group Co., LTD, China
Resources
No resources available.