Funder
International Doctoral Innovation Centre, Ningbo Education Bureau
Ningbo Science and Technology Bureau
University of Nottingham
UK Engineering and Physical Sciences Research Council
National Natural Science Foundation of China
Shenzhen Scientific Research and Development Funding Program
Subject
Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics
Reference60 articles.
1. Albert, A., Kaur, J., Gonzalez, M.C., 2017. Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scale. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017, pp. 1357–1366. https://doi.org/10.1145/3097983.3098070.
2. Beyond RGB: Very high resolution urban remote sensing with multimodal deep networks;Audebert;ISPRS J. Photogramm. Remote Sens.,2018
3. Geographic object-based image analysis – towards a new paradigm;Blaschke;ISPRS J. Photogramm. Remote Sens.,2014
4. Cao, R., Qiu, G., 2018. Urban land use classification based on aerial and ground images. In: Proceedings of the 16th International Conference on Content-Based Multimedia Indexing, CBMI 2018, La Rochelle, France, September 4–6, pp. 1–6. https://doi.org/10.1109/CBMI.2018.8516552.
5. Cao, J., Tu, W., Li, Q., Zhou, M., Cao, R., 2015. Exploring the distribution and dynamics of functional regions using mobile phone data and social media data. In: Proceedings of the 14th International Conference on Computers in Urban Planning and Urban Management, Boston, MA, USA, July 10, 2015, Boston, MA, USA, pp. 264:1–264:16.
Cited by
124 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献