Synergistic 2D/3D Convolutional Neural Network for hyperspectral image classification

• Main Authors: Yang, Xiaofei, Zhang, Xiaofeng, Ye, Yunming, Lau, Raymond Y. K., Lu, Shijian, Li, Xutao, Huang, Xiaohui
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Convolutional Neural Network; 3D CNN
• Online Access: https://hdl.handle.net/10356/146021
• Institution: Nanyang Technological University

Accurate hyperspectral image classification has been an important yet challenging task for years. With the recent success of deep learning in various tasks, 2-dimensional (2D)/3-dimensional (3D) convolutional neural networks (CNNs) have been exploited to capture spectral or spatial information in hy...