Superpixel Guided Deformable Convolution Network for Hyperspectral Image Classification
Author:
Affiliation:
1. College of Information and Communication Engineering and the Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology, Harbin Engineering University, Harbin, China
Funder
National Natural Science Foundation of China
Heilongjiang Provincial Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/9626658/09782104.pdf?arnumber=9782104
Reference65 articles.
1. Beyond the Patchwise Classification: Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification
2. Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification
3. Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network
4. Multilevel Superpixel Structured Graph U-Nets for Hyperspectral Image Classification
5. Graph Convolutional Networks for Hyperspectral Image Classification
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