Can Spectral Information Work While Extracting Spatial Distribution?—An Online Spectral Information Compensation Network for HSI Classification-Reference-Cited by-同舟云学术

Can Spectral Information Work While Extracting Spatial Distribution?—An Online Spectral Information Compensation Network for HSI Classification

Published:2023 Issue: Volume:32 Page:2360-2373
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Yang Jiaqi¹^ORCID,Du Bo²^ORCID,Xu Yonghao³^ORCID,Zhang Liangpei¹^ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. Hubei Key Laboratory of Multimedia and Network Communication Engineering, School of Computer Science, National Engineering Research Center for Multimedia Software, Wuhan University, Wuhan, China

3. Institute of Advanced Research in Artificial Intelligence, Vienna, Austria

Funder

National Natural Science Foundation of China

Science and Technology Major Project of Hubei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10047983.pdf?arnumber=10047983

Reference48 articles.

1. A biological image classification method based on improved CNN

2. Spatial–Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification

3. Luojia-HSSR: A high spatial-spectral resolution remote sensing dataset for land-cover classification with a new 3D-HRNet

4. Scalable recurrent neural network for hyperspectral image classification

5. Object-based classification of hyperspectral data using Random Forest algorithm

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