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Metal Magnetic Memory Signal Denoising for Stress Concentration Zone 会议论文
Chinese Intelligent Systems Conference (CISC), 2016-01-01
作者:  Zhu, Shengzhen[1];  Zhang, Jun[2];  Bi, Zhenfa[3]
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/24
Signal Singularity Detection based on the Hermitian Wavelet for Fault Diagnosis 会议论文
International Conference on Cloud Computing and Big Data (CCBD), Wuhan, PEOPLES R CHINA, 2014-01-01
作者:  Chen, Jian;  Li, Wen;  Li, Qingdong;  Li, Peng;  Lian, Chengbin
收藏  |  浏览/下载：3/0  |  提交时间：2020/01/06
Research on infrared dim-point target detection and tracking under sea-sky-line complex background (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
Dong Y.-X.; Li Y.; Zhang H.-B.
收藏  |  浏览/下载：98/0  |  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).  
A refining estimation for adaptive solution of wave equation based on curvelets 会议论文
Proceedings of the SPIE - The International Society for Optical Engineering, Wavelets XII, San Diego, CA, USA, INSPEC
Jianwei Ma; Gang Tang; Hussaini, M.Y.
收藏  |  浏览/下载：4/0
Reconstruction of GPR Signals by Spectral Analysis of the SVD Components of the Data Matrix 期刊论文
Geoscience and Remote Sensing Letters, IEEE, 2010, 卷号: Vol.7 No.1, 页码: 200-204
作者:  Nan, Fangyuan;  Zhou, Siyong;  Wang, Yaonan;  Li, Fuhai;  Yang, Weifeng
收藏  |  浏览/下载：1/0  |  提交时间：2020/01/13
A new approach for the removal of mixed noise based on wavelet transform (EI CONFERENCE) 会议论文
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
Li Y.; Ni H.; Pang W.; Hao Z.
收藏  |  浏览/下载：27/0  |  提交时间：2013/03/25
This paper proposed a new approach for the removal of mixed noise. There are many different ways in image denoising. Donoho et al have proposed a method for image de-noising by thresholding  ambiguity is often resulted in determining the correspondence of a modulus maximum to a singularity. In the light  and indeed  we combine the merits of the two techniques to form a new approach for the removal of mixed noise. At first  the application of their method to image denoising has been extremely successful. But the method of Donoho is based on the assumption that the type of noise is only additive Gaussian noise  we used wavelet singularity detection (WSD) technique to analyze singularities of signal and noise. According to the characteristic that wavelet transform modulus maxima of impulse noise rapidly decreases as the scale increases in wavelet domain  which is not successful for impulse noise. Mallat has also presented a method for signal denoising by discriminating the noise and the signal singularities through an analysis of their wavelet transform modulus maxima (WTMM). Nevertheless  it can be accurately located with multiscale space by going through dyadic orthogonal wavelet transform and removed. Furthermore the Gaussian noise is also removed through a level-dependent thresholding algorithm  the tracing of WTMM is not just tedious procedure computationally  algorithm. The experimental results demonstrate that the proposed method can effectively detect impulse noise and remove almost all of the noise while preserve image details very well.  
Extraction of evoked potential with singularity detection technology 期刊论文
Chinese Journal of Medical and Biological Engineering, 1999, 卷号: 19, 期号: 2, 页码: 295-303
作者:  Zhang, J.;  Zheng, C.;  Geng, Z.
收藏  |  浏览/下载：1/0  |  提交时间：2020/01/07

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