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October, 17 (Thursday)
ThE3
Hyper-spectral data Processing 1
Room E
13:30-15:00,
Chairs: 
  • Dr. Jungil Shin (Inha University, Korea)
  • Prof. Ke Wang (Hohai University, China)
ThE3-1
13:30-13:45
A memetic algorithm for generating spectral indices for remotely sensed imagery
Ivan Marc H. Escamos, Maria Art Antonette D. Clarino and Joseph Anthony C. Hermocilla Jaderick P. Pabico (1), Cristino L. Tiburan, Jr. (1) / The Univ. of Los Banos, Philippines
Paper: ThE3-1.pdf
ThE3-2
13:45-14:00
Cloud removal of gaofen-5 VNIR hyperspectral data using auxiliary multispectral data via residual neural networks
Mingyuan Peng1,2, Lifu Zhang1, Xuejian Sun1 and Yi Cen1 / 1Chinese Academy of Sciences, China and 2The Univ. of Chinese Academy of Sciences, China
Paper: ThE3-2.pdf
ThE3-3
14:00-14:15
Hyperspectral image classification using convolutional neural networks
Ke Wang / School of Earth Science and Engineering, China
Paper: ThE3-3.pdf
ThE3-4
14:15-14:30
Improved conditional generative adversarial nets for hyperspectral sample generation
YulinQiao1, XiaoboLiu1, ZhihuaCai1,2, GuangjunWang1 / 1The Univ. of China, China and 2The Univ. of Qinzhou, China
Paper: ThE3-4.pdf
ThE3-5
14:30-14:45
The modulation transfer function measurement method via using kernel estimation from satellite image
Yu-Lin Tsai (1), Kuo-Hsien Hsu, Yun-Shan Lee and Shiau-Jing Liu / National Space Organization, China Taipei
Paper: ThE3-5.pdf
ThE3-6
14:45-15:00
A spectral-preserving pansharpening method for multisensor satellite imagery
Xiaojing Huang, Soo Chin Liew and Leong Keong Kwoh / The Univ. of Singapore, Singapore
Paper: ThE3-6.pdf