Optimizing Remote Sensing Image Classification with Spectral Indices and Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Optimizing Remote Sensing Image Classification with Spectral Indices and Convolutional Neural Networks

Published:2023-12-15 Issue: Volume:717 Page:3628-3633
ISSN:
Container-title:2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2)
language:
Short-container-title:

Author:

Yao Wendong¹,Donohue Shane²,Dev Soumyabrata³

Affiliation:

1. The ADAPT SFI Research Centre, School of Computer Science, University College Dublin,Dublin,Ireland

2. School of Civil Engineering, University College Dublin,Dublin,Ireland

3. The ADAPT SFI Research Centre, School of Computer Science, University College Dublin, Beijing-Dublin International College,Beijing,China

Funder

Science Foundation Ireland

China Scholarship Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511272/10512350/10513303.pdf?arnumber=10513303

Reference19 articles.

1. Spatio-temporal analysis of air quality and its relationship with COVID-19 lockdown over Dublin

2. EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

3. BiLSTM−BiGRU: A Fusion Deep Neural Network For Predicting Air Pollutant Concentration

4. Air quality in the New Delhi metropolis under COVID-19 lockdown

5. The Core of a Smart Grid: Internet of Energy and Machine Learning

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