CNN‐combined graph residual network with multilevel feature fusion for hyperspectral image classification-Reference-Cited by-同舟云学术

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CNN‐combined graph residual network with multilevel feature fusion for hyperspectral image classification

Published:2021-10-06 Issue:8 Volume:15 Page:592-607
ISSN:1751-9632
Container-title:IET Computer Vision
language:en
Short-container-title:IET comput. vis

Author:

Guo Wenhui¹,Xu Guixun¹,Liu Weifeng¹^ORCID,Liu Baodi¹,Wang Yanjiang¹^ORCID

Affiliation:

1. College of Control Science and Engineering China University of Petroleum (East China) Qingdao China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cvi2.12073

Reference62 articles.

1. An introduction to hyperspectral imaging and its application for security, surveillance and target acquisition

2. Crop Classification Based on Feature Band Set Construction and Object-Oriented Approach Using Hyperspectral Images

3. Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps

4. Hyperspectral Image Classification Based on Multiscale Spatial Information Fusion

5. Hyperspectral image data analysis

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