Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Liu Yong-xue"'
Autor:
Ma, Qiong, Cai, Jin-ling, Pan, Xiu-Jie, Du, Li, Yang, Xiao-Yun, Liu, Yong-Xue, Zhang, Qing-Lin, Cui, Yu-Fang
Publikováno v:
In Chinese Journal of Traumatology October 2017 20(5):270-274
Publikováno v:
In Chinese Medical Sciences Journal December 2015 30(4):245-251
Autor:
Wang, Kai, Li, Peng-Fei, Han, Chun-Guang, Du, Li, Liu, Chao, Hu, Ming, Lian, Shi-Jie, Liu, Yong-Xue
Publikováno v:
Radiation Research, 2014 Dec 01. 182(6), 666-673.
Externí odkaz:
http://www.jstor.org/stable/24545411
Publikováno v:
In Clinica Chimica Acta January 2008 387(1-2):18-23
Publikováno v:
In Chinese Journal of Biotechnology 2006 22(3):408-412
Publikováno v:
Chinese Geographical Science. 16:282-288
With the wide use of high-resolution remotely sensed imagery, the object-oriented remotely sensed informa- tion classification pattern has been intensively studied. Starting with the definition of object-oriented remotely sensed information classific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a95f82606566371479cd2a86295c01d
https://doi.org/10.1007/s11769-006-0282-0
https://doi.org/10.1007/s11769-006-0282-0
Akademický článek
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Publikováno v:
Geoinformatics
Land covers in urban areas trend to change more drastically over a short period of time than elsewhere because of incessant urbanization. These changes are ideally monitored and detected from remotely sensed images as they are relatively up-to-date a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e30062e9fa6d47e03aec6f007e1fa46
https://doi.org/10.1109/geoinformatics.2010.5567823
https://doi.org/10.1109/geoinformatics.2010.5567823
Publikováno v:
2009 WRI Global Congress on Intelligent Systems.
Spatial neighborhood relation detecting is the basis of organization, query, analysis and reasoning of spatial data. For the spatial neighborhood relations of the geographic entities are contained in the Delaunay triangulation, in this paper, the spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9aec3360753db267a9e738577b2a5bc4
https://doi.org/10.1109/gcis.2009.281
https://doi.org/10.1109/gcis.2009.281
Publikováno v:
2009 WRI Global Congress on Intelligent Systems.
A method for extracting road from high spatial resolution remote sensing imagery (HSRRSI) based on Fast Marching Method and Mean Shift Method is proposed in this paper. Firstly, the user inputs a set of nodes of the road. Secondly, preliminary partit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f720fb7e047a0f6fba1c3ef1061ff198
https://doi.org/10.1109/gcis.2009.425
https://doi.org/10.1109/gcis.2009.425