Special Session: Advances in 3D Remote Sensing Data Analysis

Wednesday 10:30-12:00

10:30 SS.1 Spectral Super-resolution for RGB Images Using Class-based BP Neural Networks
Xiaolin Han, Tsinghua University, China;
Jing Yu, Beijing University of Technology, China;
Jing-Hao Xue, University College London, United Kingdom;
Weidong Sun, Tsinghua University, China

10:45 SS.2 Satellite Multi-vehicle Tracking under Inconsistent Detection Conditions by Bilevel K-shortest Paths Optimization
Junpeng Zhang, The University of New South Wales, Australia;
Xiuping Jia, The University of New South Wales, Australia;
Jiankun Hu, The University of New South Wales, Australia;
Kun Tan, China University of Mining and Technology, China

11:00 SS.3 Band Weighting Network for Hyperspectral Image Classification
Jing Wang, Griffith University & Institute of Information Engineering, Chinese Academy of Sciences, Australia;
Jun Zhou, Griffith University, Australia

11:15 SS.4 2D Gabor-based Sparse Representation Classification for Hyperspectral Imagery
Kuilin Wu, College of Computer Science and Software Engineering, Shenzhen University, China;
Sen Jia, College of Computer Science and Software Engineering, Shenzhen University, China

11:30 SS.5 Learning Orientation-Estimation Convolutional Neural Network for Building Detection in Optical Remote Sensing Image
Yongliang Chen, Key Lab of Optoelectronic Technology and Systems of Education Ministry, Chongqing University, China;
Weiguo Gong, Key Lab of Optoelectronic Technology and Systems of Education Ministry, Chongqing University, China;
Chaoyue Chen, Key Lab of Optoelectronic Technology and Systems of Education Ministry, Chongqing University, China;
Weihong Li, Key Lab of Optoelectronic Technology and Systems of Education Ministry, Chongqing University, China

11:45 SS.6 Object classification using deep learning on extremely low-resolution time-of-flight data
Ana Daysi Ruvalcaba-Cardenas, Royal Melbourne Institute of Technology, Australia;
Tony Scoleri, Defence Science and Technology Group, Australia;
Geoffrey Day, Defence Science and Technology Group, Australia