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Object oriented land cover classification using ALS and GeoEye imagery over mining areaYU Hai-yang, CHENG Gang, GE Xiao-san, LU Xiao-ping(Key Laboratory of Mine Spatial Information Technologies of State Bureau of Surveying and Mapping, Henan Polytechnic University, Jiaozuo 454000, China)Abstract:An object oriented coal mining land cover classification method based on semantically meaningful image......
; 文献标识码:A 文章编号:1672-7207(2008)05-1075-06 Unascertained average clustering method for classification of grade of shrink and expansion... on unascertained measurement theory, a classification model of expansive soil was established, including five indexes reflecting the shrink and expansion of expansive soil, i.e., content of clay grain, content......
Morphology evolution and crystallographic feature of Nb nanowire in an in-situ NiTi-Nb nanocompositeZhen-Yang Liu,Fang-Min Guo,Zhong-Qiang Wang,Li-Shan CuiDepartment of Materials Science... and crystallographic feature of Nb nanowires in NiTi shape memory alloy matrix during cold drawing were investigated by means of transmission electron microscopy(TEM). It is revealed that, as a result......
Pattern recognition of messily grown nanowire morphologies applying multi-layer connected self-organized feature mapsQing Liu,Hejun Li,Yulei Zhang,Zhigang Zhao摘 要:Multi-layer connected self-organizing feature maps(SOFMs) and the associated learning procedure were proposed to achieve efficient recognition and clustering of messily grown nanowire......
variation information is used to compute gray difference sum. Then, both the minimum distance sum and the gray difference sum are used to build a feature space. Feature spectrum of the image is computed on the feature space. Histogram computed from the feature spectrum is used to characterize the image. Compared with LBP, rotation invariant LBP, uniform LBP and LBP with local contrast, it is found......
. School of Resource and Safety Engineering, Central South University, Changsha 410083, China) Abstract: The FCSMR classification was formed by combining the fuzzy inference system of fuzzy set theory with CSMR classification. Firstly, the fuzzy inference system was used to deal with the factors’ fuzziness of rock slope stability. Secondly, the CSMR classification was used to evaluate stability......
:1672-7207(2011)S1-0760-05 Integration of global and local feature for single sample face recognition WANG Ke-jun, ZOU Guo-feng, YAN Tao (College of Automation, Harbin Engineering University, Harbin 150001, China) Abstract: A novel single sample face recognition algorithm based on parallel integration of classification results of the global and local features is proposed, where the global features......
Risk based security assessment of power system using generalized regression neural network with feature extractionM. Marsadek, A. Mohamed(1. College of Engineering, Universiti Tenaga Nasional... low voltage, line overload and voltage collapse was presented using a relatively new neural network technique called as the generalized regression neural network (GRNN) with incorporation of feature......
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