Superpixel Guided Deformable Convolution Network for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Superpixel Guided Deformable Convolution Network for Hyperspectral Image Classification

Published:2022 Issue: Volume:31 Page:3838-3851
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Zhao Chunhui¹,Zhu Wenxiang¹^ORCID,Feng Shou¹^ORCID

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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