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3D Vehicle Detection With RSU LiDAR for Autonomous Mine 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 卷号: 70, 期号: 1, 页码: 344-355
作者:  Wang, Guojun;  Wu, Jian;  Xu, Tong;  Tian, Bin
收藏  |  浏览/下载：25/0  |  提交时间：2021/03/29
Axial super-resolution imaging by interference in point scanning microscope 期刊论文
OPTIK, 2019, 卷号: 178, 页码: 821-829
作者:  Wang, Famin[1];  Zhang, Yunhai[2];  Xiao, Yun[3];  Huang, Wei[4];  Guo, Hongwei[5]
收藏  |  浏览/下载：35/0  |  提交时间：2019/04/22
Infrared moving point target detection based on an anisotropic spatial-temporal fourth-order diffusion filter 期刊论文
COMPUTERS & ELECTRICAL ENGINEERING, 2018, 卷号: 68
作者:  Zhu, Hu;  Guan, Yusheng;  Deng, Lizhen;  Li, Yansheng;  Li, Yujie
收藏  |  浏览/下载：7/0  |  提交时间：2019/12/05
Research on Environmental Quality of Soil Background Points in a Southern Province 期刊论文
Journal of Hunan University. Natural Sciences, 2017, 卷号: Vol.44 No.6, 页码: 133-140
作者:  Liu, Yunguo;  Peng, Qingqing;  Yang, Zhaohui;  Luo, Yueping;  Bi, Junping
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/31
Research on Environmental Quality of Soil Background Points in a Southern Province 期刊论文
Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2017, 卷号: Vol.44 No.6, 页码: 133-140
作者:  Liu, Y.;  Peng, Q.;  Yang, Z.;  Luo, Y.;  Bi, J.
收藏  |  浏览/下载：1/0  |  提交时间：2019/12/31
Fixed-point Gaussian Mixture Model for analysis-friendly surveillance video coding 期刊论文
COMPUTER VISION AND IMAGE UNDERSTANDING, 2016
Chen, Wei; Tian, Yonghong; Wang, Yaowei; Huang, Tiejun
收藏  |  浏览/下载：3/0  |  提交时间：2017/12/03
Point-matching method for remote sensing images with background variation 期刊论文
JOURNAL OF APPLIED REMOTE SENSING, 2015, 卷号: 9
作者:  Shi, Xiaolong;  Jiang, Jie
收藏  |  浏览/下载：1/0  |  提交时间：2020/01/06
Antigen detection based on background fluorescence quenching immunochromatographic assay 期刊论文
ANALYTICA CHIMICA ACTA, 2014, 卷号: 841
作者:  Chen, Xiangjun;  Xu, Yangyang;  Yu, Jinsheng;  Li, Jiutong;  Zhou, Xuelei
收藏  |  浏览/下载：9/0  |  提交时间：2019/12/19
A hybrid median filter for enhancing dim small point targets and its fast implementation (EI CONFERENCE) 会议论文
2011 International Conference on Multimedia and Signal Processing, CMSP 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China
Yang Q.
收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25
Weak stars and middle altitude orbit satellites or high altitude orbit satellites are presented as dim point targets in images of astronomical observation. They have low intensity and occupy few pixels in image. In most situations  the background of sky is always ununiform and there exists pulse noises. Thus results in targets submerging in background noises and low signal noise ratio (SNR). Median filter is an effective method for removing pulse noise. But it can blur image after modifying gray of non-noise pixels when image has low SNR. A hybrid median filter algorithm is proposed to process low SNR dim point targets image. The newly proposed method can suppress the pulse noises  also can increase target $SNR$ and does not add extra fake targets. The time complexity of median filter is O(N2)(N is the widow size) and is difficult to implement in hardware. For quasi real time application  a fast implementation of our hybrid median filter is proposed to reduce the time complexity to O(N). Experimental results show that the newly proposed algorithm is superior to ordinary median filter and fast median filter by comparing visual effect and performance. 2011 IEEE.  
Precise motion compensation based on weighted sub-pixel image matching (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Liang H. G.
收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25
This paper proposed a sub-pixel image correlation algorithm that can get more Precise result  its principle is apply the distribute of relativity peak to get weighted multi-pixel comprehensive of location. Image correlation be as to calculates the greyscale relativity of image template and matching image  the relativity of correspond location where match best with template will be most high  and in its neighbour range  the relativity will be still keep high too. We used these pixel in this local area of calculated match point to get sub-pixel accuracy  the relativity of every pixel be used as its weight for participate the sub-pixel calculation. The sub-pixel location is more accuracy than the integer one  we applied this method to perform background compensation in processing the target detecting for video image sequence. At the end of this paper  some experiment data be proposed  it proved this sub-pixel image correlation can obtain better result. 2011 SPIE.  

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