Centralized Attention Modules for Hyperspectral Remote Sensing Image Classification-Reference-Cited by-同舟云学术

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Centralized Attention Modules for Hyperspectral Remote Sensing Image Classification

Published:2023-06-23 Issue: Volume: Page:112-116
ISSN:
Container-title:2023 8th International Conference on Computational Intelligence and Applications (ICCIA)
language:
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Author:

Li Ningyang¹,Wang Zhaohui¹,Cheikh Faouzi Alaya²,Ullah Mohib²

Affiliation:

1. Hainan University,Faculty of Computer Science and Technology,Haikou,China

2. Norwegian University of Science and Technology,Faculty of Information Technology and Electrical Engineering,Gjøvik,Norway

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10387742/10387799/10387873.pdf?arnumber=10387873

Reference24 articles.

1. Hyperspectral Imaging

2. A short survey of hyperspectral remote sensing applications in agriculture

3. Mineral Classification of Makhtesh Ramon in Israel Using Hyperspectral Longwave Infrared (LWIR) Remote-Sensing Data

4. Big data challenges in airborne hyperspectral image for urban landuse classification

5. Deep support vector machine for hyperspectral image classification

Cited by 1 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. Discriminating Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Review;Sensors;2024-05-08

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