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[期刊论文] 作者:Yi Lin,Shaoming Zhang,Jianqing, 来源:系统工程与电子技术:英文版 年份:2011
A new filtering method for SAR data de-noising using wavelet support vector regression (WSVR) is developed.On the basis of the grey scale distribution character...
[期刊论文] 作者:Shaoming Zhang,Fang He,Yunling, 来源:系统工程与电子技术:英文版 年份:2015
Segmentation is the key step in auto-interpretation of high-resolution spaceborne synthetic aperture radar(SAR) images. A novel method is proposed based on inte...
[期刊论文] 作者:Shaoming Zhang Yi Lin Xiaohu Z, 来源:系统工程与电子技术:英文版 年份:2010
A method to detect airports in large space-borne synthetic aperture radar(SAR) imagery is studied.First,the large SAR imagery is segmented according to amplitud...
[会议论文] 作者:Liu Shaoming,Zhang Wenqiang,Tu Ping,Yu Bo, 来源:第十八次全国电化学大会 年份:2015
[会议论文] 作者:Wenhao Xu,Jianmei Wang,Shaoming Zhang,Lizhi Lou, 来源:第七届高分辨率对地观测学术年会 年份:2020
The object detection method based on deep learning is widely used in Unmanned Aerial Vehicle(UAV)power line inspection.However,there are few researches on pin defects detection since the pin is too sm...
[期刊论文] 作者:Shaoming Zhang,Fang He,Yunling Zhang,Jianmei Wang,Xiao Mei,Tiantian Feng,, 来源:Journal of Systems Engineering and Electronics 年份:2015
Segmentation is the key step in auto-interpretation of high-resolution spaceborne synthetic aperture radar(SAR) images. A novel method is proposed based on inte...
[期刊论文] 作者:GAO Jianhua,WANG Yaping,PAN Shaoming,ZHANG Rui,LI Jun,BAI Fenglong, 来源:黑龙江科技信息 年份:2008
本文通过对荣华二采区10...
[期刊论文] 作者:Junhui Nie,Jianzhong Fan,Shaoming Zhang,Shaohua Wei,Tao Zuo,Zili Ma,Zhaobing Xiang,, 来源:Acta Metallurgica Sinica(English Letters) 年份:2014
15 vol% silicon carbide particle(Si Cp)-reinforced 2009 Al matrix(15 vol% Si Cp/2009Al) composites were fabricated by hot isostatic pressing(HIP) and hot extrus...
[期刊论文] 作者:Junhui Nie,Jianzhong Fan,Shaoming Zhang,Shaohua Wei,Tao Zuo,Zili Ma,Zhaobing Xiang, 来源:金属学报(英文版) 年份:2014
[期刊论文] 作者:Zhang Zhijie,Liu Shaoming,Zhang Yueyang,Yang Jingzhe,Kong Tao,Wang Chengli,Ning Peng,Chen Xiao-chao,Li, 来源:中医杂志(英文版) 年份:2018
OBJECTIVE:To explore the features of Traditional Chinese Medicine (TCM) syndromes in male infertility using computer-based analyses.METHODS:Latent class analysi...
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