Hyperspectral Image Classification Based on Unsupervised Regularization
Author:
Affiliation:
1. College of Computer Science and Technology, Xidian University, Xi'an, China
2. AVIC Xi'an Aeronautical Computing Technology Research Institute, Xi'an, China
Funder
National Natural Science Foundation of China
Key Research and Development Program of Shaanxi Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9973430/10035838.pdf?arnumber=10035838
Reference48 articles.
1. Automatic diagnosis of melanoma using hyperspectral data and GoogLeNet
2. Dual-Channel Convolution Network With Image-Based Global Learning Framework for Hyperspectral Image Classification
3. Hyperspectral Imagery Classification Using Sparse Representations of Convolutional Neural Network Features
4. Global Spatial and Local Spectral Similarity Based Sample Augment and Extended Subspace Projection for Hyperspectral Image Classification
5. Fusion of machine vision technology and AlexNet-CNNs deep learning network for the detection of postharvest apple pesticide residues
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