光子学报第12期在几月

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1、赵永强，潘泉. 成像偏振光谱遥感及应用.国防工业出版社(国防出版基金资助).2011年5月.[第一章，第二章]2、Y. Zhao, L. Zhang and Q. Pan. “Spectropolarimetric Imaging for Anomaly Epithelial Tissue Detection”. Chapter 18 () in Book: Sequence and Genome Analysis: Methods and Applications. ISBN: 978-0-9807330-4-4[PDF] [1] Zhao Yong-Qiang, . Band Subset Based Clustering Fusion for Hyperspectral Imagery Classification. IEEE Trans on geoscience and Remote Sensing. 2011. [PDF][2] Zhao Yong-Qiang, Gao Shi-Bo, Chen Chao et al. Unsupervised Classification of Spectropolarimatric Data by Region Based Evidence Fusion. IEEE Geoscience and Remote Sensing Letters. 2011. [PDF][3]Zhao Yong-Qiang, Gong Peng, Pan Quan. Object Detection by Spectropolarimeteric Imagery Fusion. IEEE Transactions on Geoscience and Remote Sensing, 46(10), pp 3337-3345,2008/10. [PDF][4] Zhao Yong-Qiang, Zhang Lei, Zhang David et al. Object separation by polarimetric and spectral imagery fusion. Computer Vision and Image Understanding, 113(8), pp 855-866, 2009/8/1. [PDF][5] Zhao Yong-Qiang, Zhang Lei, Pan Quan. Spectropolarimetric imaging for pathological analysis of skin. Applied Optics, 48(10), pp D236-D246, 2009/4/1. [PDF][6] Zhao Yong-Qiang, Gong Peng, Pan Quan. Unsupervised spectropolarimetric imagery clustering fusion. JOURNAL OF APPLIED REMOTE SENSING, 3(1), pp 1-16, 2009/6/15. [PDF][7]Di Wei, Pan Quan, He Lin et al. Anomaly Detection in Hyperspectral Imagery by Fuzzy Integral Fusion of Band-subsets. Photogrammetric Engineering and Remote Sensing, 73(2), pp 201-213, 2008/2/1. [PDF][8] Zhao Yong-Qiang, Pan Quan, Zhang Hong-Cai. New polarization imaging method based on spatially adaptive wavelet image fusion. Optical Engineering, 45(12), pp 123202-1-123202-7, 2006/12/1. [PDF][9]陈超,罗莉,赵永强.基于遗传LM算法的涂层目标光谱偏振BRDF建模分析.光谱学与光谱分析.2010.[10]高仕博,程咏梅,赵永强等.基于多时相红外图像探测浅层地下目标.红外与毫米波学报, 01期, 2009. [PDF][11]高仕博,程咏梅,赵永强.基于张量的平稳小波变换红外图像去噪.光学学报. [PDF][12]贺霖,潘泉,邸韡,赵永强.一种基于单似然检验的高光谱图像小目标检测器.光学学报, 12期, 2007. [PDF][13]魏坤,赵永强,潘泉等.一种改进相似度量的红外目标跟踪算法.光子学报, 05期, 2008. [PDF][14]魏坤,赵永强,高仕博等.基于混合概率核主成分二次相关红外目标检测.光子学报, 09期, 2008. [PDF][15]邸韡,潘泉,赵永强等.高光谱图像波段子集模糊积分融合异常检测.电子与信息学报, 02期, 2008. [PDF][16]杨铁恒,赵永强,潘泉等.一种新的偏振光谱二向反射测量方法.光子学报, 12期, 2008. [PDF][17]马丽娜,潘泉,赵永强等.红外热像仪标定方法.火力与指挥控制, 11期, 2008. [PDF][18]王道荣,赵永强,潘泉.基于模糊聚类和证据理论的光谱偏振图像分类.光子学报, 12期, 2007. [PDF][19]赵永强,潘泉,张洪才.一种新的全色图像与光谱图像融合方法研究.光子学报, 01期, 2007. [PDF][20]赵永强,潘泉,张洪才.自适应多波段偏振图像融合研究.光子学报, 07期, 2007. [PDF][21]卫沛锋,赵永强,梁彦等.偏振光在多层散射介质中传输的蒙特卡罗模拟研究.光子学报, 10期, 2009. [PDF][22]陈超,赵永强,程咏梅等.背景偏振光谱二向反射分布函数建模分析.光电子.激光, 03期, 2009. [PDF][23]高仕博,程咏梅,赵永强等.基于空时域约束模糊核聚类的红外多时相地下目标探测.光子学报, 11期, 2008. [PDF][24] Zhao Yongqiang, Yang TieHeng, Wei PeiFeng et al. Spectropolarimetric imaging for skin characteristics analysis. 2nd International Conference on Medical Imaging and Informatics (MIMI 2007), pp 322-329, 2007/8/14. [PDF][25] Zhao Yong-Qiang Analysis of facial characteristics in spectropolarimetric imagery. International Symposium on Multispectral Image Processing and Pattern Recognition, 2007/11/15. [PDF][26] Gao Shi-Bo, Zhao Yong-Qiang, Cheng Yong-Mei. Multispectral Infrared Image for Target Detection Based on Matched Filtering Using Tensor. MIPPR 2009: Multispectral Image Acquisition and Processing, 2009/10/30. [PDF][27] Chen Chao, Zhao Yong-Qiang, Cheng Yong-Mei. Robust materials classification based on multispectral polarimetric BRDF imagery. International Symposium on Photoelectronic Detection and Imaging 2009, 2009/8/5. [PDF]

2013年12月31日，由中国学术期刊（光盘版）电子杂志社、清华大学图书馆、中国科学文献评价中心遴选完成的“2013中国最具国际影响力学术期刊”、“2013中国国际影响力优秀学术期刊”正式对外发布。中国科学院西安光学精密机械研究所主办的《光子学报》入选“2013中国国际影响力优秀学术期刊”。《光子学报》创刊于1972年，由科学出版社出版，为EI数据库收录源刊、中文核心期刊（北大2011版）。曾于2012年入选“2012中国最具国际影响力学术期刊”。