发表论文
1. SCI检索论文
[1] Bin Qi, Vijay John, Zheng Liu*, and Seiichi Mita. Pedestrian detection from thermal images: A sparse representation based approach, Infrared Physics & Technology, 2016, 76: 157-167. (SCI/EI检索)
[2] Chunhui Zhao*, Wei Li, G. Arturo Sanchez-Azofeifa, Bin Qi, and Bing Cui. Improved collaborative representation model with multitask learning using spatial support for target detection in hyperspectral imagery, Journal of Applied Remote Sensing, 2016, 10(1): 016009-1-016009-22.
[3] Chunhui Zhao, Minghua Tian, Bin Qi, and Yulei Wang. A variation pixels identification method based on kernel spatial attraction model and local entropy for robust endmember extraction, Journal of Central South University, 2016, 23(8): 1990-2000.
[4] Chunhui Zhao, Minghua Tian, Wu Liu, Xifeng Yao, and Bin Qi. Advanced similarity metric and its application on band selection issue of multiple spectral identification, Applied Optics, 2016, 55(21): 5790-5805.
[5] Bin Qi, Chunhui Zhao*, Guisheng Yin. Use of customizing kernel sparse representation for hyperspectral image classification, Applied Optics, 2015, 54(4): 707-716.
[6] Chunhui Zhao*, Yulei Wang, Bin Qi, Jia Wang. Global and local real-time anomaly detectors for hyperspectral remote sensing imagery, Remote Sensing, 2015, 7(4): 3966-3985.
[7] Chunhui Zhao*, Wei Li, Xiaohui Li, and Bin Qi. Sparse representation based on stacked kernel for target detection in hyperspectral imagery, Optik-International Journal for Light and Electron Optics, 2015, 126(24): 5633-5640.
[8] Bin Qi, Chunhui Zhao*, and Guisheng Yin. Feature weighting algorithms for classification of hyperspectral images using a support vector machine, Applied Optics, 2014, 53(13): 2839-2846.
[9] Chunhui Zhao, Bin Qi*, Eunseog Youn, Guisheng Yin, and Christian Nansen. 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.
[10] Chunhui Zhao, Bin Qi*, and Christian Nansen. Use of local fuzzy variance to extract the scattered regions of spatial stray light influence in hyperspectral images, Optik-International Journal for Light and Electron Optics, 2013, 124(24): 6696-6699.
[11] 赵春晖, 齐滨*, Eunseog Youn. 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,2013, 32(1): 62-67.
[12] Bin Qi, Chunhui Zhao, Eunseog Youn, and Christian Nansen*. Use of weighting algorithms to improve traditional support vector machine based classifications of reflectance data, Optics Express, 2011, 19(27): 26816-26826.
2. EI检索论文
[1] 赵春晖, 尤伟, 齐滨, 王玉磊. 基于Hausdorff度量的高广谱异常目标检测算法, 哈尔滨工程大学学报, 2016, 37(7): 979-985.
[2] 赵春晖, 尤伟, 齐滨, 王佳. 采用多项式递归核的高广谱遥感异常实时检测算法, 光学学报, 2016, 36(2): 0228002-1-0228002-9.
[3] 赵春晖, 田明华, 齐滨, 基于最大化N维立体光谱角的高光谱端元提取. 光子学报, 2016, 45(1): 0110001-1-0110001-9.
[4] Chunhui Zhao*, Haifeng Zhu, Shiling Cui, and Bin Qi. Multiple endmember hyperspectral sparse unmixing based on improved OMP algorithm, Journal of Harbin Institute of Techbology, 2015, 22(5): 97-104.
[5] Vijay John*, Zheng Liu, Seiichi Mita, Bin Qi. Pedestrian detection in thermal images using adaptive fuzzy C-means clustering and convolutional neural networks, The 14th IAPR Conference on Machine Vision Applications, 2015: 246-249.
[6] Chunhui Zhao, Minghua Tian, Bin Qi. Hyperspectral band selection based on the incremental N-dimensional solid spectral angle, The 8th International Congress on Image and Signal Processing, 2015: 765-770.
[7] Bin Qi*, Vijay John, Zheng Liu, and Seiichi Mita. Use of sparse representation for pedestrian detection in thermal images, IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2014: 274-280.
[8] Bin Qi*, Vijay John, Zheng Liu, and Seiichi Mita. Pedestrian detection from thermal images with a scattered difference of directional gradients feature descriptor, IEEE 17th Internaltioanl Conference on Intelligent Transportation Systems, 2014: 2168-2173.
[9] Vijay John*, Keisuke Yoneda, Bin Qi, Zheng Liu and Seiichi Mita. Traffic light recognition in varying illumination using deep learning and saliency map, IEEE 17th International Conference on Intelligent Transportation Systems, 2014, 2286-2291.
[10] 齐滨, 赵春晖*,王玉磊. 基于SVM和RVM的高光谱图像分类, 吉林大学学报, 2013, 43:143-147.
[11] 王玉磊, 赵春晖*, 齐滨. 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), 2013, 43: 148-153.
[12] 赵春晖, 齐滨*, 王玉磊. 一种改进的N-FINDR 高光谱端元提取算法, 电子与信息学报, 2012, 34(2): 499-503.
[13] 赵春晖, 齐滨*. 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,2012, 33(9): 2016-2021.
[14] 赵春晖*, 齐滨, 张燚. 基于改进型相关向量机的高光谱图像分类, 光学学报,2012, 32(8): 0828004-1~0828004-6.
[15] Xiaoyuan Li, Bin Qi*, and Lu Wang, Improved digital chaotic sequence generator utilized in encryption communication, Intelligent Computing Technology, 2012, 260-268.
3. 教改论文
[1] 王逸林, 齐滨*, 范展, 王晋晋. 信息理论基础的教学改革与实践, 中国现代教育装备, 275, 2017.