Funder
National Key R&D Program of China
the China Postdoctoral Science Foundation
the Fundamental Research Funds for the Central Universities
the Austrian Science Fund FWF
Subject
Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics
Reference52 articles.
1. Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification;Anwer;ISPRS J. Photogramm. Rem. Sens.,2018
2. Integrating earth observation and GIScience for high resolution spatial and functional modeling of urban land use;Aubrecht;Comput. Environ. Urban Syst.,2009
3. Object based image analysis for remote sensing;Blaschke;ISPRS J. Photogramm. Rem. Sens.,2010
4. Geographic object-based image analysis–towards a new paradigm;Blaschke;ISPRS J. Photogramm. Rem. Sens.,2014
5. Castelluccio, M., Poggi, G., Sansone, C., Verdoliva, L., 2015. Land use classification in remote sensing images by convolutional neural networks. arXiv preprint arXiv:1508.00092.
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