Session Track
October, 17 (Thursday)
ThC1
Machine Learning for Remote Sensing Applications 3
Room C
09:00-10:30,
Chairs:
ThC1-1
09:00-09:15
Chlorophyll-a concentration retrieval using convolutional neural networks in Laguna Lake, Philippines
Paper: ThC1-1.pdf
ThC1-2
09:15-09:30
Using fully convolutional networks and pleiades satellite imagery with pre-trained VGG-19 model to detect impervious surface in farmland
Paper: ThC1-2.pdf
ThC1-3
09:30-09:45
Mangroves change detection using support vector machine algorithm on google earth engine (a case study in part of gulf of bone, South Sulawesi, Indonesia)
Paper: ThC1-3.pdf
ThC1-4
09:45-10:00
3D scene reconstruction from multi-view stereo images using machine learning
Paper: ThC1-4.pdf
ThC1-5
10:00-10:15
Different deep learning approaches for single class-labeling: ship-detection application
Paper: ThC1-5.pdf
ThC1-6
10:15-10:30
Deep learning based tropical cyclone intensity monitoring and forecasting
Paper: ThC1-6.pdf
