July 2020
Intermediate to advanced
164 pages
3h 16m
English
Content preview from Deep Learning for Remote Sensing Images with Open Source Software
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[1]I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning. MIT Press, 2016.
[2]S. Chen and H. Wang, “SAR target recognition based on deep learning,” in Data Science and Advanced Analytics (DSAA), 2014 International Conference on, pp. 541–547, IEEE, 2014.
[3]D. H. T. Minh, D. Ienco, R. Gaetano, N. Lalande, E. Ndikumana, F. Osman, and P. Maurel, “Deep recurrent neural networks for winter vegetation quality mapping via multitemporal SAR sentinel-1,” IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 3, pp. 464–468, 2018.
[4]L. Wang, K. A. Scott, L. Xu, and D. A. Clausi, “Sea ice concentration estimation during melt from dual-pol SAR scenes using deep convolutional neural networks: A case study,” IEEE Transactions on Geoscience ...
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