Author:
Liao Xiaojin,Huang Xiaodi,Huang Weidong
Publisher
Springer Nature Switzerland
Reference14 articles.
1. Eldawy, A., Niu, L., Haynes, D., Su, Z.: Large scale analytics of vector+raster big spatial data. Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 1–4 (2017)
2. Alkathiri, M., Jhummarwala, A., Potdar, M.B.: Multi-dimensional geospatial data mining in a distributed environment using MapReduce. J. Big Data 6 (2019)
3. Department of Science, Information Technology and Innovation (DSITI): DSITI89267 Building Machine Learning Capability: Land Use Mapping Request for quote (2017)
4. Helber, P., Bischke, B., Dengel, A., Borth, D.: Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification. IEEE J. Select. Top. Appl. Earth Obs. Remote Sens. 12, 2217–2226 (2019)
5. Sumbul, G., Charfuelan, M., Demir, B., Markl, V.: Bigearthnet: A large-scale benchmark archive for remote sensing image understanding. In: IGARSS 2019–2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 5901–5904. IEEE (2019)