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October, 16 (Wednesday)
WeE2
Machine Learning for Remote Sensing Applications 2
Room E
11:00-12:30,
Chairs: 
  • Prof. Bulent Bayram (Yildiz Technical University, Turkey)
  • Dr. Singara Singh (Thapar Institute of Engineering and Technology, India)
WeE2-1
11:00-11:15
A neural network-based land use regression model to estimate spatial-temporal variability of Nitrogen dioxide
Pei-Yi Wong1, Chih-Da Wu1,2 and Huey-Jen Su1 / 1National Cheng Kung University, China Taipei, 2National Health Research Institutes, China Taipei
Paper: WeE2-1.pdf
WeE2-2
11:15-11:30
Efficiency of different machine learning methods for shoreline extraction from UAV images
Bulent Bayram1, Dursun Zafer Seker2 and Burak Akpinar1 / 1Yildiz Technical University, Turkey, 2Istanbul Technical University, Turkey
Paper: WeE2-2.pdf
WeE2-3
11:30-11:45
Comparison of LUR-based and ANN-based PM2.5 concentration estimation over Taipei metropolis
Dewinta Heriza, Chao-Hung Lin and Chih-Da Wu / National Cheng Kung University, China Taipei
Paper: WeE2-3.pdf
WeE2-4
11:45-12:00
The application of machine learning algorithms to estimate forest canopy cover
Wim Ikbal Nursal, Felliks Tampinongkol, Sahid Hudjimartsu, Yudi Setiawan and Lilik Budi Prasetyo / IPB University, Indonesia
Paper: WeE2-4.pdf
WeE2-5
12:00-12:15
Neural network for higher wind speed estimation from multi-parameter radar altimetry data
Syarawi Sharoni12 and Mohd Nadzri Md Reba1 / 1Universiti Teknologi Malaysia, Malaysia, 2Universiti Sains Malaysia, Malaysia
Paper: WeE2-5.pdf
WeE2-6
12:15-12:30
Machine learning approaches to estimate chlorophyll-a concentration using GOCI satellite data
Hyun-Young Choi1, Young-Jun Kim1 and Jungho-Im12 / 1Ulsan National Institute of Science and Technology (UNIST), Korea, 2State University of New York College of Environmental Science and Forestry, USA
Paper: WeE2-6.pdf