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	Air Quality Measurement Based on Double-Channel Convolutional Neural Network Ensemble Learning 期刊论文 OAI收割 IEEE ACCESS, 2019, 卷号: 7, 页码: 145067-145081 作者: Wang, Zhenyu; Zheng, Wei; Song, Chunfeng; Zhang, Zhaoxiang; Lian, Jie \| 收藏 \| 浏览/下载：40/0 \| 提交时间：2020/03/30 AQI measurement deep learning CNN image recognition.
	On hyperspectral remotely sensed image classification based on MNF and AdaBoosting (EI CONFERENCE) 会议论文 OAI收割 2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012, July 16, 2012 - July 18, 2012, Shanghai, China 作者: Yu P.; Yu P.; Gao X. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 As an effective statistical learning tool AdaBoosting has been widely used in the field of pattern recognition. In this paper a new method is proposed to improve the classification performance of hyperspectral images by combining the minimum noise fraction (MNF) and AdaBoosting. Because the hyperspectral imagery has many bands which have strong correlation and high redundancy the hyperspectral data are pre-processed by the minimum noise fraction to reduce the data's dimensionality whilst to remove noise bands simultaneously. Then we use an AdaBoost algorithm to conduct the classification of hyperspectral remotely sensed image. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.
	Research on image restoration of Roll-Swing imaging seeker (EI CONFERENCE) 会议论文 OAI收割 3rd IEEE International Conference on Advanced Computer Control, ICACC 2011, January 18, 2011 - January 20, 2011, Harbin, China 作者: Zhang H.; Zhang H. 收藏 \| 浏览/下载：35/0 \| 提交时间：2013/03/25 To achieve a correct image receiving for Roll-Swing imaging seeker the mechanism and imaging process is analyzed. The causes of image rotation are discussed. The influence of the frame encoders' precision on imaging de-rotation quality is analyzed. The Roll-Swing imaging seeker is designed for high-speed aerocraft thus the received images are greatly degraded due to atmospheric turbulence. A new method of image restoration is proposed for turbulence-degraded images in this paper. The method is to get point spread function (PSF) based on the estimation of optical transfer function (OTF) according to the optical system design simulation. Finally to obtain the restored image constrained least squares filtering is used with the known PSF. The experiment results indicate that the new restoration method has a favorable effect to satisfy requirement of the automatic target recognition. 2011 IEEE.
	A fast and efficient multiple step algorithm of iris image quality assessment (EI CONFERENCE) 会议论文 OAI收割 2010 2nd International Conference on Future Computer and Communication, ICFCC 2010, May 21, 2010 - May 24, 2010, Wuhan, China Shi C.; Jin L. 收藏 \| 浏览/下载：21/0 \| 提交时间：2013/03/25 Iris recognition is one of the most reliable methods of biometrics personal identification. Poor quality iris image will be rejected by recognition system which will result in the failure of recognition. Therefore iris image quality assessment is very essential to the iris recognition system. In this paper a multiple step algorithm of iris image quality assessment is proposed to distinguish two kinds of poor quality images i.e. defocus and occlusion. Experimental results show that the proposed algorithm is fast and efficient for iris image quality assessment. 2010 IEEE.
	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：48/0 \| 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.