MOPB.PA.60

AN END-TO-END POINT-SUPERVISED METHOD FOR SEMANTIC SEGMENTATION OF HIGH-RESOLUTION REMOTE SENSING IMAGES

Yinxia Cao, Qihao Weng, The Hong Kong Polytechnic University, China
Session:
MOPB.PA: Give Earth a Chance: Artificial Intelligence Meets Remote Sensing for Environmental Monitoring II Poster
Track:
Community-Contributed Sessions
Location:
Poster Area 4: Trianti Balcony
Presentation Time:
Mon, 8 Jul, 15:20 - 16:20
Session Co-Chairs:
Agata M. Wijata, KP Labs / Silesian University of Technology and Jakub Nalepa, KP Labs / Silesian University of Technology
Presentation
Discussion
Resources
No resources available.
Session MOPB.PA
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Yan Jin, Haoyu Fan, Zeshuo Li, Yan Jia, Hongyan Liu, School of Internet of Things, Nanjing University of Posts and Telecommunications, China
MOPB.PA.60: AN END-TO-END POINT-SUPERVISED METHOD FOR SEMANTIC SEGMENTATION OF HIGH-RESOLUTION REMOTE SENSING IMAGES
Yinxia Cao, Qihao Weng, The Hong Kong Polytechnic University, China
MOPB.PA.61: PM2.5 PREDICTION COMBINED ANFIS WITH META-HEURISTIC OPTIMIZATION ALGORITHMS: A CASE STUDY IN WUHAN
Yapei Qin, Uqba Ramzan, Wuhan University, China; Mohammed A. A. Al-qaness, Zhejiang Normal University, China; Hong Fan, Wuhan University, China
MOPB.PA.62: CORRELATION OF CARBON MONOXIDE LEVELS BETWEEN GROUND MEASUREMENTS AND SENTINEL-5P SATELLITE DATA USING ARTIFICIAL INTELLIGENCE MODELS
Dawid Jurczyński, Silesian University of Technology, Poland
MOPB.PA.63: BAYESIAN NETWORK ANALYSIS OF LAND-ATMOSPHERE INTERACTIONS AFFECTING BURNED AREAS IN INDIA DURING THE 2022 SOUTH ASIA HEATWAVE
Amir Mustofa Irawan, Universitat Politècnica de Catalunya, Spain; Mercè Vall-llossera, Carlos López-Martínez, Institut d’Estudis Espacials de Catalunya, Spain; Adriano Camps, ASPIRE Visiting International Professor, UAE University CoE, United Arab Emirates; David Chaparro, German Aerospace Center, Germany; Gerard Portal, Institut d’Estudis Espacials de Catalunya, Spain; Miriam Pablos, Alberto Alonso-González, Universitat Politecnica de Catalunya, Spain; ,
MOPB.PA.64: A MODIFIED U-NET FOR OIL SPILL SEMANTIC SEGMENTATION IN SAR IMAGES
Lena Chang, Yi-Ting Chen, National Taiwan Ocean University, Taiwan; Yang-Lang Chang, National Taipei University of Technology, Taiwan
MOPB.PA.65: Super-Resolution of Geostationary Satellite Observations Based on Low Earth Orbit Satellite Measurements and Deep Learning
Yifan Yang, Haonan Chen, Colorado State University, United States
Resources
No resources available.