国家自然科学基金(61201310)

作品数:3被引量:5H指数:2
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相关作者:谢长生沈毅沈飞张淼更多>>
相关机构:哈尔滨工业大学中国航天科技集团公司更多>>
相关期刊:《Chinese Journal of Electronics》《Journal of Harbin Institute of Technology(New Series)》更多>>
相关主题:HOUGH算法FRAMEWORKDATACSCDG更多>>
相关领域:自动化与计算机技术电子电信更多>>
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基于改进Hough算法的高光谱数据直线检测方法研究被引量:2
《上海航天》2017年第3期27-32,共6页张淼 于文博 沈飞 谢长生 沈毅 
国家自然科学基金资助(61201310);航天科技创新基金资助(CASC020302)
为改进用于高光谱数据直线检测的传统Hough算法的计算量大、性能较低等不足,对一种基于改进Hough算法的检测方法进行了研究。用能反映地物信息体量的峰值信噪比选择波段,选出10个波段图像,既减少了输入波段数,又确保后续识别能考虑所有...
关键词:高光谱数据 直线检测 HOUGH算法 光谱相似性测度 峰值信噪比 光谱信息散度 光谱角制图法 
An Optimal CDG Framework for Energy Efficient WSNs被引量:2
《Chinese Journal of Electronics》2017年第1期137-144,共8页YAN Wenjie DONG Yongfeng ZHANG Suqi WANG Zijuan 
supported by the Natural Science Foundation of Hebei Province of China(No.F2015202214);the Tianjin Application Foundation and Advanced Technology Research Program(No.15JCQNJC00600,No16JCQNJC00400);the National Natural Science Foundation of China(No.61201310,No.61174016);Science and Technology Program of Hebei Province of China(No.15210506)
Compressed sensing(CS) has been applied widely in Wireless sensor networks(WSNs) recently.An optimal Compressed data gathering(CDG) framework for energy efficient WSNs is proposed here. A novel Measurement matrix opti...
关键词:Wireless sensor networks(WSNs) Compressed sensing(CS) Measurement matrix Optimal data aggregation tree(ODAT) 
Multi-Class Support Vector Machine Classifier Based on Jeffries-Matusita Distance and Directed Acyclic Graph被引量:1
《Journal of Harbin Institute of Technology(New Series)》2013年第5期113-118,共6页Miao Zhang Zhen-Zhou Lai Dan Li Yi Shen 
Sponsored by the National Natural Science Foundation of China(Grant No.61201310);the Fundamental Research Funds for the Central Universities(Grant No.HIT.NSRIF.201160);the China Postdoctoral Science Foundation(Grant No.20110491067)
Based on the framework of support vector machines (SVM) using one-against-one (OAO) strategy, a new multi-class kernel method based on directed aeyclie graph (DAG) and probabilistic distance is proposed to raise...
关键词:multi-class classification support vector machine directed acyclic graph Jeffries-Matusitadistance hyperspcctral data 
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