[1] Blaschke T. Object Based Image Analysis for Remote Sensing[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2010, 65(1):2-16 doi:  10.1016/j.isprsjprs.2009.06.004
[2] Blaschke T, Hay G J, Kelly M, et al. Geographic Object-based Image Analysis:a New Paradigm in Remote Sensing and Geographic Information Science[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 87(1):180-191 https://www.sciencedirect.com/science/article/pii/S0924271613002220
[3] Belgiu M, Tomljenovic I, Lampoltshammer T J, et al. Ontology-based Classification of Building Types Detected From Airborne Laser Scanning Data[J]. Remote Sensing, 2014, 6(2):1347-1366 doi:  10.3390/rs6021347
[4] Belgiu M, Hofer B, Hofmann P. Coupling Formalized Knowledge Bases with Object-based Image Analysis[J]. Remote Sensing Letters, 2014, 5(6):530-538 doi:  10.1080/2150704X.2014.930563
[5] Arvor D, Durieux L, Andres S, et al. Advances in Geographic Object-Based Image Analysis with Ontologies:A Review of main Contributions and Limitations from a Remote Sensing Perspective[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2013, 82(8):125-137
[6] Lüscher P, Weibel R, Burghardt D. Integrating Ontological Modelling and Bayesian Inference for Pattern Classification in Topographic Vector Data[J]. Computers Environment and Urban Systems, 2009, 33(5):363-374 doi:  10.1016/j.compenvurbsys.2009.07.005
[7] Gruber T R. A Translation Approach to Portable Ontology Specifications[J]. Knowledge Acquisition, 1993, 5(2):199-220 doi:  10.1006/knac.1993.1008
[8] Andres S, Arvor D, Pierkot C. Towards an Ontological Approach for Classifying Remote Sensing Images[C]. Proceedings of the Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth International Conference, Naples, Italy, 2012 http://ieeexplore.ieee.org/document/6395176/
[9] Jesús M A J, Luis D, José A P F. A Framework for Ocean Satellite Image Classification Based on Ontologies[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(2):1048-1063 doi:  10.1109/JSTARS.2012.2217479
[10] Dejrriri K, Malki M. Object-based Image Analysis and Data Mining for Building Ontology of Informal Urban Settlements[C]. Proceedings of the SPIE Remote Sensing, International Society for Optics and Photonics, Edinburgh, UK, 2012 doi:  10.1117/12.974444
[11] Forestier G, Puissant A, Wemmert C, et al. Knowledge-based Region Labeling for Remote Sensing Image Interpretation[J]. Computers Environment and Urban Systems, 2012, 36(5):470-480 doi:  10.1016/j.compenvurbsys.2012.01.003
[12] Kyzirakos K, Karpathiotakis M, Garbis G, et al. Wildfire Monitoring Using Satellite Images, Ontologies and Linked Geospatial Data[J]. Web Semantics Science Services and Agents on the World Wide Web, 2014, 24(4):18-26 https://www.sciencedirect.com/science/article/pii/S1570826814000031
[13] 崔巍, 汤世明, 李荣, 等.用地理本体和相对高程识别遥感对象的方法研究[J].武汉理工大学学报·交通科学与工程版, 2013, 37(4):695-698 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=whjtkjdxxb201304006

Cui Wei, Tang Shiming, Li Rong, et al. A Method of Identifying Remote Sensing Objects by Using Geo-ontology and Relative Elevation[J]. Journal of Wuhan university of technology (Transportation Science & Engineering), 2013, 37(4):695-698 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=whjtkjdxxb201304006
[14] 张莹.地理本体的研究——研究进展与应用[J].测绘标准化, 2014, 30(2):24-27 http://www.cnki.com.cn/Article/CJFDTOTAL-DXQY200603010.htm

Zhang Ying. Study on Geo-ontology Progress and Application[J]. Standardization of Surveying and Mapping, 2014, 30(2):24-27 http://www.cnki.com.cn/Article/CJFDTOTAL-DXQY200603010.htm
[15] 魏圆圆. 基于本体论的农业知识建模及推理研究[D]. 安徽: 中国科学技术大学, 2011 http://cdmd.cnki.com.cn/Article/CDMD-10358-1012287195.htm

Wei Yuanyuan. Research of Ontology-based Agricultural Knowledge Modeling and Reasoning[D]. Anhui: University of Science and Technology of China, 2011. http://cdmd.cnki.com.cn/Article/CDMD-10358-1012287195.htm
[16] Tonjrs R, Glowe S, Buckner J, et al. Knowledge-based Interpretation of RS Images Using Semantic Nets[J]. Photogrammetric Engineering & Remote Sensing, 1999, 65(7):811-822 http://dialnet.unirioja.es/servlet/articulo?codigo=484964
[17] Yang Y, Li H T, Han Y S, et al. High Resolution Remote Sensing Image Segmentation Based on Graph Theory and Fractal Net Evolution Approach[J]. ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015, XL-7/W4:197-201 doi:  10.5194/isprsarchives-XL-7-W4-197-2015