An Object-Based Semantic Classification Method for High Resolution Remote Sensing Imagery Using Ontology

Abstract

Haiyan Gu 1,*, Haitao Li 1, Li Yan 2, Zhengjun Liu 1, Thomas Blaschke 3 and Uwe Soergel 4 1 Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, 28 Lianhuachi Road, Beijing 100830, China; lhtao@casm.ac.cn (H.L.); zjliu@casm.ac.cn (Z.L.) 2 School of Geodesy and Geomatics, Wuhan University, Luojiashan, Wuhan 430072, China… (More)
DOI: 10.3390/rs9040329

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Cite this paper

@article{Gu2017AnOS, title={An Object-Based Semantic Classification Method for High Resolution Remote Sensing Imagery Using Ontology}, author={Haiyan Gu and Haitao Li and Li Yan and Zhengjun Liu and Thomas Blaschke and Uwe Soergel}, journal={Remote Sensing}, year={2017}, volume={9}, pages={329} }