Spectral–Spatial Large Kernel Attention Network for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Spectral–Spatial Large Kernel Attention Network for Hyperspectral Image Classification

Published:2024 Issue: Volume:62 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wu Chunran¹,Tong Lei¹^ORCID,Zhou Jun²^ORCID,Xiao Chuangbai¹^ORCID

Affiliation:

1. Faculty of Information Technology, Beijing University of Technology, Beijing, China

2. School of Information and Communication Technology, Griffith University, Nathan, QLD, Australia

Funder

Open and Cooperative Fund of the Engineering Research Center of the Ministry of Education on Reliability and Testing Technology of Rail Transit Equipment

National Natural Science Foundation of China

Beijing Municipal Education Commission Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10422824.pdf?arnumber=10422824

Reference49 articles.

1. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture

2. Spectral reflectance variations and mineral transformations during the formation of acid sulphate soil in an incubation experiment

3. Fast Flood Extent Monitoring With SAR Change Detection Using Google Earth Engine

4. Hyperspectral anomaly detection using kernel rx-algorithm

5. Hypersectral Imaging for Military and Security Applications: Combining Myriad Processing and Sensing Techniques

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2. Spectral–Spatial Score Fusion Attention Network for Hyperspectral Image Classification With Limited Samples;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024