Publisher
Springer Nature Switzerland
Reference18 articles.
1. Han, X., Zhong, Y., Cao, L., Zhang, L.: Pre-trained AlexNet architecture with pyramid pooling and supervision for high spatial resolution remote sensing image scene classification. Remote Sens. 9(8), 848 (2017)
2. Hänsch, R., Hellwich, O.: Fusion of multispectral lidar, hyperspectral, and RGB data for urban land cover classification. IEEE Geosci. Remote Sens. Lett. 18(2), 366–370 (2020)
3. Huaranca, L.L., Iribarnegaray, M.A., Albesa, F., Volante, J.N., Brannstrom, C., Seghezzo, L.: Social perspectives on deforestation, land use change, and economic development in an expanding agricultural frontier in northern Argentina. Ecol. Econ. 165, 106424 (2019)
4. Iandola, F.N., Han, S., Moskewicz, M.W., Ashraf, K., Dally, W.J., Keutzer, K.: SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and < 0.5 MB model size. arXiv preprint arXiv:1602.07360 (2016)
5. Isaienkov, K., Yushchuk, M., Khramtsov, V., Seliverstov, O.: Deep learning for regular change detection in Ukrainian forest ecosystem with sentinel-2. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 14, 364–376 (2020)