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October, 17 (Thursday)
ThC3
Machine Learning for Remote Sensing Applications 5
Room C
13:30-15:00,
Chairs: 
  • Prof No-Wook Park (INHA University, Korea)
ThC3-1
13:30-13:45
Automatic extraction of training sets using AIS in CNN for ship detection from SAR image
Juyoung Song, Duk-jin Kim and Ki-mook Kang / Seoul National Univ., Korea
Paper: ThC3-1.pdf
ThC3-2
13:45-14:00
A big data platform for remote sensing data processing
Chen Xu1,2 and Xiaoping Du1 / 1Institute of Remote Sensing and Digital Earth, China and 2Universite de Lyon, France
Paper: ThC3-2.pdf
ThC3-3
14:00-14:15
Domain adaptation for 2D/3D change detection in VHR imagery via calibration of convolutional neural network under prior probability shift
Hunsoo Song1, Anjin Chang2, Junho Yeom3, Jinha Jung4 and Yongil Kim1 / 1Seoul National Univ., Korea, 2Texas A&M Univ., USA, 3Gyeongsang National Univ., Korea and 4Purdue Univ., USA
Paper: ThC3-3.pdf
ThC3-4
14:15-14:30
Classification of economic characteristics based on klassen typology using multilayer perceptron neural network
Nurrahim Dwi Saputra, Tanakorn Sritarapipat, Songkot Dasananda / Suranaree University of Technology, Thailand
Paper: ThC3-4.pdf
ThC3-5
14:30-14:45
Smoke plume detection on satellite imageries using CNN with simulated smoke images
Chenguang Hou, Celvin Tan and Soo Chin Liew / National University of Singapore, Singapore
Paper: ThC3-5.pdf
ThC3-6
14:45-15:00
Identification of path pheromone concentration using CNN: a tool for inverse ant algorithm implementation
Dr. Jaymer M. Jayoma, James Earl B. Cubillas and Rudolph Joshua U. Candare / Caraga State University, Philippines
Paper: ThC3-6.pdf