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齐滨
-
教授
博士生导师
硕士生导师
- 教师英文名称：QI BIN
- 教师拼音名称：QB
- 所在单位：水声工程学院
- 性别：男
- 学位：博士
- 在职信息：在职
- 学科：信息与通信工程. 船舶与海洋工程
- 学科：信息与通信工程
船舶与海洋工程
访问量：
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[21]
Multiple endmember hyperspectral sparse unmixing based on improved OMP algorithm,Journal of Harbin Institute of Technology (New Series),22.0(5.0):97-104
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[22]
A New improved BP Neural Network Algorithm,IEEE COMPUTER SOC,1.0():19-22
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[23]
Improved digital chaotic sequence generator utilized in encryption communication,,Intelligent Computing Technology, 2012, 260-268.(EI) © 2016哈尔滨工程大学,
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[24]
基于改进型相关向量机的高光谱图像分类,光学学报,
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[25]
基于模糊核加权C-均值聚类的高光谱图像分类，,仪器仪表学报，,
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[26]
一种改进的N-FINDR 高光谱端元提取算法,,电子与信息学报,
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[27]
Use of weighting algorithms to improve traditional support vector machine based classifications of r,Optics Express, 2011, 19(27): 26816-26826.(SCI, JCR1区),
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[28]
基于光谱相似度量的高光谱图像异常检测算法,吉林大学学报(工学版),
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[29]
基于SVM和RVM的高光谱图像分类,,吉林大学学报,,
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[30]
基于蒙特卡洛特征降维算法的小样本高光谱图像分类研究,,红外与毫米波学报,
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[31]
Use of local fuzzy variance to extract the scattered regions of spatial stray light influence in hyp,Optik-International Journal for Light and Electron Optics, 2013, 124(24): 6696-6699.(SCI, JCR2区),
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[32]
Traffic light recognition in varying illumination using deep learning and saliency map,,IEEE 17th International Conference on Intelligent Transportation Systems, 2014, 2286-2291.(EI),
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[33]
Pedestrian detection from thermal images with a scattered difference of directional gradients featur,IEEE 17th Internaltioanl Conference on Intelligent Transportation Systems, 2014: 2168-2173.(EI),
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[34]
Use of sparse representation for pedestrian detection in thermal images,,IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2014: 274-280.(EI),
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[35]
Feature weighting algorithms for classification of hyperspectral images using a support vector machi,Applied Optics, 2014, 53(13): 2839-2846.(SCI, JCR2区),
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[36]
Use of neighborhood unhomogeneity to detect the edge of hyperspectral spatial stray light region,,Optik-International Journal for Light and Electron Optics, 2014, 125(13): 3009-3012. (SCI, JCR2区),
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[37]
Use of customizing kernel sparse representation for hyperspectral image classification,,Applied Optics, 2015, 54(4): 707-716. (SCI, JCR2区),
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[38]
Hyperspectral band selection based on the incremental N-dimensional solid spectral angle,,The 8th International Congress on Image and Signal Processing, 2015: 765-770. (EI),
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[39]
Multiple endmember hyperspectral sparse unmixing based on improved OMP algorithm,,Journal of Harbin Institute of Techbology, 2015, 22(5): 97-104. (EI),
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[40]
Pedestrian detection in thermal images using adaptive fuzzy C-means clustering and convolutional neu,The 14th IAPR Conference on Machine Vision Applications, 2015: 246-249. (EI),
