Invasive weed optimization with deep transfer learning for multispectral image classification model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17429-9.pdf
Reference24 articles.
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2. Vali A, Comai S, Matteucci M (2020) Deep learning for land use and land cover classification based on hyperspectral and multispectral earth observation data: a review. Remote Sens 12(15):2495
3. Piao J, Chen Y, Shin H (2019) A new deep learning based multi-spectral image fusion method. Entropy 21(6):570
4. Imamoglu N, Martínez-Gómez P, Hamaguchi R, Sakurada K, Nakamura R (2018) Exploring recurrent and feedback cnns for multi-spectral satellite image classification. Procedia Comput Sci 140:162–169
5. Prathap G, Afanasyev I (2018) Deep learning approach for building detection in satellite multispectral imagery. In: 2018 International Conference on Intelligent Systems (IS). IEEE, pp 461–465
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1. Advancements of UAV and Deep Learning Technologies for Weed Management in Farmland;Agronomy;2024-02-28
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