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

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

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...

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Bibliographic Details
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:	Journal Article
Language:	English
Published:	2021
Subjects:	Engineering::Computer science and engineering Convolutional Neural Network 3D CNN
Online Access:	https://hdl.handle.net/10356/146021

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