Application of 1D CNN and 3D CNN for Coarse Resolution Satellite Image Classification in Extensive Area Land Cover Mapping-Reference-Cited by-同舟云学术

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Application of 1D CNN and 3D CNN for Coarse Resolution Satellite Image Classification in Extensive Area Land Cover Mapping

Published:2024-07-07 Issue: Volume:15 Page:10109-10112
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Adugna Tesfaye¹,Xu Wenbo²,Fan Jinlong³

Affiliation:

1. University of Electronic Science and Technology of China,Yangtze Delta Region Institute (Huzhou),Huzhou,China,313001

2. University of Electronic Science and Technology of China,School of Resources and Environment,Chengdu,China,611731

3. National Satellite Meteorological Center,China Meteorological Administration,Beijing,China,100081

Funder

University of Electronic Science and Technology of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642231.pdf?arnumber=10642231

Reference10 articles.

1. A patch-based convolutional neural network for remote sensing image classification

2. Integrated 1D, 2D, and 3D CNNs Enable Robust and Efficient Land Cover Classification from Hyperspectral Imagery;Liu,2023

3. Land Cover Classification for Satellite Images Through 1D CNN

4. Deep learning in environmental remote sensing: Achievements and challenges

5. 1D convolutional neural networks and applications: A survey

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