中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Partial NIR-VIS Heterogeneous Face Recognition With Automatic Saliency Search 期刊论文  OAI收割
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 2021, 卷号: 16, 16, 页码: 5003-5017, 5003-5017
作者:  
Luo, Mandi;  Ma, Xin;  Li, Zhihang;  Cao, Jie;  He, Ran
  |  收藏  |  浏览/下载:29/0  |  提交时间:2021/12/28
Robust moving objects detection in long-distance imaging through turbulent medium 期刊论文  OAI收割
Infrared Physics and Technology, 2019, 卷号: 100, 页码: 87-98
作者:  
Xu, Xinggui;  Yang, Ping;  Xian, Hao;  Liu, Yong
  |  收藏  |  浏览/下载:24/0  |  提交时间:2021/05/06
遥感图像中的典型目标识别算法研究 学位论文  OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2011
作者:  
李伟
收藏  |  浏览/下载:115/0  |  提交时间:2015/09/02
Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:  
Dong Y.-X.;  Zhang H.-B.;  Li Y.;  Li Y.;  Li Y.
收藏  |  浏览/下载:111/0  |  提交时间:2013/03/25
Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system  the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms  such as adaptive background prediction detecting method. When background has dispersion-decreasing structure  the traditional target detection algorithms would be more useful. But when the background has large gray gradient  such as sea-sky-line  sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature  in our opinion  from the perspective of mathematics  the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis  the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection  its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore  the purpose of the image preprocessing is to reduce the effects from noise  also to raise the SNR of image  and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics  the median filter is used to eliminate noise  improve signal-to-noise ratio  then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line  so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  
Infrared face recognition using linear subspace analysis (EI CONFERENCE) 会议论文  OAI收割
MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, October 30, 2009 - November 1, 2009, Yichang, China
作者:  
Wang D.
收藏  |  浏览/下载:35/0  |  提交时间:2013/03/25
Infrared image offers the main advantage over visible image of being invariant to illumination changes for face recognition. In this paper  based on the introduction of main methods of linear subspace analysis  such as Principal Component Analysis (PCA)  Linear Discriminant Analysis(LDA) and Fast Independent Component Analysis (FastICA)  the application of these methods to the recognition of infrared face images offered by OTCBVS workshop are investigated  and the advantages and disadvantages are compared. Experimental results show that the combination approach of PCA and LDA leads to better classification performance than single PCA approach or LDA approach  while the FastICA approach leads to the best classification performance with the improvement of nearly 5% compared with the combination approach. 2009 Copyright SPIE - The International Society for Optical Engineering.  
Possibilities of reflectance spectra data for the assessment of soil potassium concentration 会议论文  OAI收割
MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, Yichang, China, October 30, 2009 - November 1,2009
Wang, Lu; Zhou, Yunxuan; Lin, Qizhong; Xu, Yongming
收藏  |  浏览/下载:31/0  |  提交时间:2014/12/07
Spectra description and clustering based on morphological pattern spectum 会议论文  OAI收割
MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, Yichang, China, October 30, 2009 - November 1,2009
Li, Hui; Lin, Qizhong; Liu, Qingjie; Wang, Qinjun; Wang, Lu
收藏  |  浏览/下载:13/0  |  提交时间:2014/12/07
不同光照下的异构人脸图像的融合识别方法 学位论文  OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2008
许力
收藏  |  浏览/下载:73/0  |  提交时间:2015/09/02