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Infrared dim target detecting algorithm based on multi-feature and spatio-temporal fusion 会议论文
Shanghai, China, 2021-10-28
作者:  Bai, Mei;  Zhang, Jian;  Zhao, Hui
收藏  |  浏览/下载：64/0  |  提交时间：2022/03/18
Dim small targets detection based on statistical block low-rank background modeling 会议论文
Beijing, China, July 7, 2019 - July 9, 2019
作者:  Li, Biao;  Xu, Zhiyong;  Zhang, Jianlin;  Fan, Xiangsuo
收藏  |  浏览/下载：5/0  |  提交时间：2021/05/06
Infrared target detection based on local contrast method and LK optical flow 会议论文
Shenzhen, China, 2018-09-04
作者:  Pan, Jiajia;  Tian, Yan;  Zhang, Xing;  Hao, Wei
收藏  |  浏览/下载：23/0  |  提交时间：2018/12/21
A modified topological derivative based background suppression for infrared dim small target detection 会议论文
Beijing, China, 2017-06-04
作者:  Cheng, Wenxiong;  Qin, Hanlin;  Wang, Wanting;  Wang, Chunmei;  Leng, Hanbing
收藏  |  浏览/下载：16/0  |  提交时间：2018/03/07
Infrared Dim and Small Target Tracking Method Incorporating Statistical Characteristics 会议论文
International Symposium on Infrared Technology and Application / International Symposium on Robot Sensing and Advanced Control, Beijing, PEOPLES R CHINA, 2016-05-09
作者:  Zhang T(张涛);  Guo, Hongwei
收藏  |  浏览/下载：24/0  |  提交时间：2017/04/14
Dim target trajectory-associated detection in bright earth limb background 会议论文
Conference on Signal and Data Processing of Small Targets, San Diego, CA, 2015-01-01
作者:  Chen, Penghui;  Xu, Xiaojian;  He, Xiaoyu;  Jiang, Yuesong
收藏  |  浏览/下载：7/0  |  提交时间：2020/01/06
Dim and weak target detection technology based on multi-characteristic fusion 会议论文
Proceedings of the 26th Conference of Spacecraft TT and C Technology in China - Shared and Flexible TT and C (Tracking, Telemetry and Command) Systems, 2013
作者:  Tang, Jia;  Gao, Xin;  Jin, Gang
收藏  |  浏览/下载：16/0  |  提交时间：2016/11/23
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.  
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：96/0  |  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 simple and efficient saliency extraction method based on multi-scale horizon-directional filter for infrared dim small target detection 会议论文
7th Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Pattern Recognition and Computer Vision, Guilin, China, November 4-6, 2011
作者:  Xia RB(夏仁波);  Zhao JB(赵吉宾);  Hui B(惠斌);  Chang Z(常铮);  Zhou GC(周广超)
收藏  |  浏览/下载：21/0  |  提交时间：2012/06/06

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