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	Robust Ellipse Fitting Using Hierarchical Gaussian Mixture Models 期刊论文 OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 3828-3843 作者: Zhao, Mingyang; Jia, Xiaohong; Fan, Lubin; Liang, Yuan; Yan, Dong-Ming \| 收藏 \| 浏览/下载：35/0 \| 提交时间：2021/05/06 Kernel Robustness Optimization Gaussian mixture model Bandwidth Two dimensional displays Transforms Ellipse fitting GMM HGMM RANSAC outlier noise robust statistic
	Robust Ellipse Fitting Using Hierarchical Gaussian Mixture Models 期刊论文 OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 3828-3843 作者: Zhao, Mingyang; Jia, Xiaohong; Fan, Lubin; Liang, Yuan; Yan, Dong-Ming \| 收藏 \| 浏览/下载：32/0 \| 提交时间：2021/06/01 Kernel Robustness Optimization Gaussian mixture model Bandwidth Two dimensional displays Transforms Ellipse fitting GMM HGMM RANSAC outlier noise robust statistic
	Investigation of high-precision algorithm for the spot position detection for four-quadrant detector 期刊论文 OAI收割 OPTIK, 2020, 卷号: 203 作者: Wang, Xuan; Su, Xiuqin; Liu, Guizhong; Han, Junfeng; Wang, Rui \| 收藏 \| 浏览/下载：30/0 \| 提交时间：2020/07/20 Four-quadrant detector Polynomial fitting Gaussian spot
	Adaptive Wiener filtering with Gaussian fitted point spread function in image restoration (EI CONFERENCE) 会议论文 OAI收割 2011 IEEE 2nd International Conference on Software Engineering and Service Science, ICSESS 2011, July 15, 2011 - July 17, 2011, Beijing, China 作者: Yang L.; Zhang X.; Zhang X.; Zhang X.; Yang L. 收藏 \| 浏览/下载：44/0 \| 提交时间：2013/03/25 In the imaging process of the space remote sensing camera there was degradation phenomenon in the acquired images. In order to reduce the image blur caused by the degradation the remote sensing images were restored to give prominence to the characteristic objects in the images. First the frequency-domain notch filter was adopted to remove strip noises in the images. Then using the ground characters with the knife-edge shape in the images the point spread function of the imaging system was estimated. In order to improve the accuracy the estimated point spread function was corrected with Gaussian fitting method. Finally the images were restored using the adaptive Wiener filtering with the fitted point spread function. Experimental results of the real remote sensing images showed that almost all strip noises in the images were eliminated. After the denoised images were restored its variance and its gray mean gradient increased also its laplacian gradient increased. Restoration with Gaussian fitted point spread function is beneficial to interpreting and analyzing the remote sensing images. After restoration the blur phenomenon of the images is reduced. The characters are highlighted and the visual effect of the images is clearer. 2011 IEEE.
	Remote sensing image restoration using estimated point spread function (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Information, Networking and Automation, ICINA 2010, October 17, 2010 - October 19, 2010, Kunming, China 作者: Yang L.; Yang L. 收藏 \| 浏览/下载：32/0 \| 提交时间：2013/03/25 In order to reduce image blur caused by the degradation phenomenon in the imaging process the acquired images of the space remote sensing camera are restored. First the frequency-domain notch filter is adopted to remove strip noises in the images. Then degradation function which is referred to as the point spread function (PSF) of the imaging system is estimated using the knife-edge method. To improve the accuracy of the estimation the estimated PSF is adjusted with Gaussian fitting. Finally the images are restored by Wiener filtering with the fitted PSF. The restoration results of the remote sensing images show that almost all strip noises are eliminated by the notch filter. After denoising and restoration the variance of the remote sensing image worked with in this paper increases 30.979 and the gray mean gradient increases 3.312. Due to Gaussian fitting the accuracy of the PSF estimation is heightened. Image restoration with the final PSF is benefit to interpreting and analyzing the remote sensing images. After restoration the contrasts of the restored images are increased and the visual effects become clearer. 2010 IEEE.
	The application of Doppler broadening and Doppler shift to spectral analysis 期刊论文 OAI收割 SPECTROSCOPY AND SPECTRAL ANALYSIS, 2002, 卷号: 22 - \| 收藏 \| 浏览/下载：9/0 \| 提交时间：2020/10/26 PLASMA the distribution of line shape Gaussian fitting Doppler broadening Doppler shift