Hyperspectral Image Classification Based on the Gabor Feature with Correlation Information-Reference-Cited by-同舟云学术

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Hyperspectral Image Classification Based on the Gabor Feature with Correlation Information

Published:2023-07-12 Issue:1 Volume:49 Page:
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

Liao Jianshang¹,Wang Liguo²,Zhao Genping³

Affiliation:

1. College of information and Communications Engineering, Guangzhou Maritime University, Guangzhou, 510725, China

2. College of Information and Communications Engineering, Dalian Minzu University, Dalian, 116600, China

3. School of Computers, Guangdong University of Technology, Guangzhou, 510006, China

Funder

Natural Science Foundation of Guangdong

Special Projects in Key Areas of Guangdong Province

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/07038992.2023.2246158

Reference50 articles.

1. Hyperspectral Image Classification Based on Deep Attention Graph Convolutional Network

2. Hyperspectral Region Classification Using a Three-Dimensional Gabor Filterbank

3. Local Similarity-Based Spatial–Spectral Fusion Hyperspectral Image Classification With Deep CNN and Gabor Filtering

4. TARDB-Net: triple-attention guided residual dense and BiLSTM networks for hyperspectral image classification

5. LWIR hyperspectral image classification based on a temperature-emissivity residual network and conditional random field model

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hyperspectral image classification based on adaptive spectral feature decoupling with global local feature fusion network;Earth Science Informatics;2024-07-17

2. Wire rope damage detection based on a uniform-complementary binary pattern with exponentially weighted guide image filtering;The Visual Computer;2024-06-18

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