Hyperspectral Image Classification Using Spectral–Spatial Token Enhanced Transformer With Hash-Based Positional Embedding
Author:
Affiliation:
1. Academy for Engineering and Technology, Fudan University, Shanghai, China
2. School of Information Science and Technology, Fudan University, Shanghai, China
Funder
National Natural Science Foundation of China
Shanghai Municipal Science and Technology Major Project
Zhejiang Lab Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10075631.pdf?arnumber=10075631
Reference55 articles.
1. Hyperspectral Image Classification via Weighted Joint Nearest Neighbor and Sparse Representation
2. Hyperspectral Image Classification Powered by Khatri-Rao Decomposition-Based Multinomial Logistic Regression
3. Convolutional Neural Network with PCA and Batch Normalization for Hyperspectral Image Classification
4. Linear Versus Nonlinear PCA for the Classification of Hyperspectral Data Based on the Extended Morphological Profiles
5. MobileNets: Efficient convolutional neural networks for mobile vision applications;howard;arXiv 1704 04861,2017
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