Design of an Efficient Model for Satellite Image Classification Using Graph Neural Networks and Elephant Herding Optimization
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-65392-6_6
Reference16 articles.
1. Ouchra, H., Belangour, A., Erraissi, A.: Machine learning algorithms for satellite image classification using google earth engine and Landsat satellite data. IEEE Access 11, 71127–71142 (2023)
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3. Jena, K.K., Bhoi, S.K., Nayak, S.R., Panigrahi, R., Bhoi, A.K.: Deep convolutional network based machine intelligence model for satellite cloud image classification. Big Data Min. Anal. 6(1), 32–43 (2023)
4. Di Martino, T., Guinvarc’h, R., Thirion-Lefevre, L., Colin, É.: Explaining convolutional autoencoders’ latent space of satellite image time series. IEEE Geosci. Remote Sens. Lett. 20, 1–5 (2023)
5. Rai, A.K., Mandal, N., Singh, K.K., Izonin, I.: Satellite image classification using a hybrid manta ray foraging optimization neural network. Big Data Min. Anal. 6(1), 44–54 (2023)
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