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Efficiency and Threshold Characteristics of Spectrally Beam Combined High-Power Diode Lasers 期刊论文
Ieee Journal of Quantum Electronics, 2019, 卷号: 55, 期号: 1, 页码: 7
作者:  F.Y.Sun;  S.L.Shu;  G.Y.Hou;  L.J.Wang;  J.Zhang
收藏  |  浏览/下载：2/0  |  提交时间：2020/08/24
High power diode laser source with a transmission grating for two spectral beam combining 期刊论文
Optik, 2019, 卷号: 192, 页码: 4
作者:  J.Y.Tian;  J.Zhang;  H.Y.Peng;  Y.X.Lei;  L.Qin
收藏  |  浏览/下载：0/0  |  提交时间：2020/08/24
The effect of beam quality factor for the laser beam propagation through turbulence 期刊论文
Optik, 2018, 卷号: 156, 页码: 148-154
作者:  Yang, G. Q.;  Liu, L. S.;  Jiang, Z. H.;  Guo, J.;  Wang, T. F.
收藏  |  浏览/下载：1/0  |  提交时间：2019/09/17
Incoherent beam combining based on imperialist competitive algorithm 期刊论文
Optik, 2018, 卷号: 168, 页码: 2019-01-09
作者:  Song, J. K.;  Yang, G. Q.;  Li, Y. Y.;  Wang, T. F.
收藏  |  浏览/下载：7/0  |  提交时间：2019/09/17
Incoherent beam combining based on the momentum SPGD algorithm 期刊论文
Optics and Laser Technology, 2018, 卷号: 101, 页码: 372-378
作者:  Yang, G. Q.;  Liu, L. S.;  Jiang, Z. H.;  Guo, J.;  Wang, T. F.
收藏  |  浏览/下载：12/0  |  提交时间：2019/09/17
On hyperspectral remotely sensed image classification based on MNF and AdaBoosting (EI CONFERENCE) 会议论文
2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012, July 16, 2012 - July 18, 2012, Shanghai, China
Xu Y.; Yu P.; Guo B.; Gao X.; Guo Y.
收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25
An improved hyperspectral classification algorithm based on back-propagation neural networks (EI CONFERENCE) 会议论文
2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China
Mao W.; Yu P.; Guo B.; Xu Y.; Chen H.
收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25
In this paper  a new method is proposed to improve the classification performance of hyperspectral images by combining the principal component analysis (PCA)  genetic algorithm (GA)  and artificial neural networks (ANNs). First  some characteristics of the hyperspectral remotely sensed data  such as high correlation  high redundancy  etc.  are investigated. Based on the above analysis  we propose to use the principal component analysis to capture the main information existing in the hyperspectral images and reduce its dimensionality consequently. Next  we use neural networks to classify the reduced hyperspectral data. Since the back-propagation neural network we used is easy to suffer from the local minimum problem  we adopt a genetic algorithm to optimize the BP network's weights and the threshold. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.  
Image registration based on Mexican-hat wavelets and pseudo-Zernike moments (EI CONFERENCE) 会议论文
2012 World Automation Congress, WAC 2012, June 24, 2012 - June 28, 2012, Puerto Vallarta, Mexico
Ding N.; Liu Y.
收藏  |  浏览/下载：30/0  |  提交时间：2013/03/25
Image registration is a key technique in pattern recognition and image processing  and it is widely used in many application areas such as computer vision  remote sensing  image fusion and object tracking. A method for image registration combining Mexican-hat wavelets and pseudo-Zernike moments is proposed. Firstly  feature points are extracted using scale-interaction Mexican-hat wavelets in the reference image and sensed image respectively. Then  pseudo-Zernike moments are used to match them and classical RANSAC used to eliminate the wrong matches. And then  the well match points are used to estimate the best affine transform parameters by least squares minimization. At last  the sensed image is transformed and resampled to accomplish the image registration. The experiments indicate that the proposed algorithm extracts feature points and matches them exactly and eliminates wrong matched points effectively and achieves nice registration results. 2012 TSI Press.  
The sequence measurement system of the IR camera (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
Geng A.-H.; Han H.-X.; Zhang H.-B.
收藏  |  浏览/下载：30/0  |  提交时间：2013/03/25
Currently  the IR cameras are broadly used in the optic-electronic tracking  optic-electronic measuring  fire control and optic-electronic countermeasure field  but the output sequence of the most presently applied IR cameras in the project is complex and the giving sequence documents from the leave factory are not detailed. Aiming at the requirement that the continuous image transmission and image procession system need the detailed sequence of the IR cameras  the sequence measurement system of the IR camera is designed  and the detailed sequence measurement way of the applied IR camera is carried out. The FPGA programming combined with the SignalTap online observation way has been applied in the sequence measurement system  and the precise sequence of the IR camera's output signal has been achieved  the detailed document of the IR camera has been supplied to the continuous image transmission system  image processing system and etc. The sequence measurement system of the IR camera includes CameraLink input interface part  LVDS input interface part  FPGA part  CameraLink output interface part and etc  thereinto the FPGA part is the key composed part in the sequence measurement system. Both the video signal of the CmaeraLink style and the video signal of LVDS style can be accepted by the sequence measurement system  and because the image processing card and image memory card always use the CameraLink interface as its input interface style  the output signal style of the sequence measurement system has been designed into CameraLink interface. The sequence measurement system does the IR camera's sequence measurement work and meanwhile does the interface transmission work to some cameras. Inside the FPGA of the sequence measurement system  the sequence measurement program  the pixel clock modification  the SignalTap file configuration and the SignalTap online observation has been integrated to realize the precise measurement to the IR camera. Te sequence measurement program written by the verilog language combining the SignalTap tool on line observation can count the line numbers in one frame  pixel numbers in one line and meanwhile account the line offset and row offset of the image. Aiming at the complex sequence of the IR camera's output signal  the sequence measurement system of the IR camera accurately measures the sequence of the project applied camera  supplies the detailed sequence document to the continuous system such as image processing system and image transmission system and gives out the concrete parameters of the fval  lval  pixclk  line offset and row offset. The experiment shows that the sequence measurement system of the IR camera can get the precise sequence measurement result and works stably  laying foundation for the continuous system. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  
Design of control system of DC motor based on fusion FPGA (EI CONFERENCE) 会议论文
2011 International Conference on Mechatronics and Materials Processing, ICMMP 2011, November 18, 2011 - November 20, 2011, Guangzhou, China
Zhu D. D.; Li H. W.
收藏  |  浏览/下载：29/0  |  提交时间：2013/03/25

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