A Novel Pyramidal CNN Deep Structure for Multiple Objects Detection in Remote Sensing Images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s12524-023-01793-y.pdf
Reference60 articles.
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2. Bouguettaya, A., Zarzour, H., Kechida, A., & Taberkit, A. M. (2022). Deep learning techniques to classify agricultural crops through UAV imagery: A review. Neural Computing and Applications, 34, 9511–9536. https://doi.org/10.1007/s00521-022-07104-9
3. Bouti, A., Mahraz, M. A., Riffi, J., & Tairi, H. (2020). A robust system for road sign detection and classification using LeNet architecture based on convolutional neural network. Soft Computing, 24(9), 6721–6733. https://doi.org/10.1007/s00500-019-04307-6
4. Chen, J., Sun, J., Li, Y., & Hou, C. (2022). Object detection in remote sensing images based on deep transfer learning. Multimedia Tools and Applications, 81(9), 12093–12109. https://doi.org/10.1007/s11042-021-10833-
5. Cheng, G., Han, J., & Lu, X. (2017). Remote sensing image scene classification: Benchmark and state of the art. Proceedings of the IEEE, 105(10), 1865–1883. https://doi.org/10.1109/JPROC.2017.2675998
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