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CORC

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Interest Point Detection by Limiting Form of Median Log Filter 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 84182-84196
作者:  Chen, Junzhang;  Lyu, Mengyao;  Wang, Xing;  Bai, Xiangzhi;  Yang, Chao
收藏  |  浏览/下载：7/0  |  提交时间：2019/12/30
Testing the Efficiency of Using High-Resolution Data From GF-1 in Land Cover Classifications 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 卷号: 11, 期号: 9, 页码: 3051-3061
作者:  Wang, Xiaofeng;  Zhou, Chaowei;  Feng, Xiaoming;  Cheng, Changwu;  Fu, Bojie
收藏  |  浏览/下载：27/0  |  提交时间：2019/06/17
Quality metric in matched Laplacian of Gaussian response domain for blind adaptive optics image deconvolution 期刊论文
OPTICAL ENGINEERING, 2016, 卷号: 55
作者:  Guo, Shiping;  Zhang, Rongzhi;  Yang, Yikang;  Xu, Rong;  Liu, Changhai
收藏  |  浏览/下载：9/0  |  提交时间：2019/11/26
Decoupled Marginal Distribution of Gradient Magnitude and Laplacian of Gaussian for Texture Classification 会议论文
作者:  Xue, Wufeng;  Mou, Xuanqin;  Zhang, Lei
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02
A Low Complexity Interest Point Detector 期刊论文
ieee signal processing letters, 2015
Chen, Jie; Duan, Ling-Yu; Gao, Feng; Cai, Jianfei; Kot, Alex C.; Huang, Tiejun
收藏  |  浏览/下载：3/0  |  提交时间：2015/11/10
LoG acts as a good feature in the task of image quality assessment 会议论文
作者:  Mou, Xuanqin;  Xue, Wufeng;  Chen, Congmin;  Zhang, Lei
收藏  |  浏览/下载：6/0  |  提交时间：2019/12/03
Hessian-log: A novel dot enhancement filter 期刊论文
ICIC Express Letters, Part B: Applications, 2012, 卷号: 6, 期号: [db:dc_citation_issue], 页码: 1987-1992
作者:  Shi, Zhenghao;  Zhao, Minghuaf;  Wang, Yinghui;  He, Lifeng;  Suzuki, Kenji
收藏  |  浏览/下载：5/0  |  提交时间：2019/12/10
Hessian-LoG: A novel dot enhancement filter 期刊论文
ICIC Express Letters, 2012, 卷号: 6, 期号: [db:dc_citation_issue], 页码: 1987-1992
作者:  Shi, Zhenghao;  Zhao, Minghua;  Wang, Yinghui;  He, Lifeng;  Suzuki, Kenji
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/10
Adaptive Wiener filtering with Gaussian fitted point spread function in image restoration (EI CONFERENCE) 会议论文
2011 IEEE 2nd International Conference on Software Engineering and Service Science, ICSESS 2011, July 15, 2011 - July 17, 2011, Beijing, China
Yang L.; Zhang X.; Ren J.
收藏  |  浏览/下载：30/0  |  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.  
An Image Quality Assessment Metric Based On Non-Shift Edge 会议论文
作者:  Xue, Wufeng;  Mou, Xuanqin
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/10

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