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浏览/检索结果: 共17条,第1-10条 帮助

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A New Method of Property Right Transaction of Service Data Resources Based on Blockchain 会议论文  OAI收割
Guiyang, China, July 23-25, 2021
作者:  
Tao Wang;  Hu Guan;  Yaqing Si;  Jing Su;  Lei Pan
  |  收藏  |  浏览/下载:14/0  |  提交时间:2022/04/07
Saliency-dependent adaptive remeshing for cloth simulation 期刊论文  OAI收割
TEXTILE RESEARCH JOURNAL, 2020, 页码: 16
作者:  
Shi, Min;  Ming, Hou;  Liu, Yaning;  Mao, Tianlu;  Zhu, Dengming
  |  收藏  |  浏览/下载:53/0  |  提交时间:2020/12/10
Tracing and implementation of IMM Kalman filtering feed-forward compensation technology based on neural network 期刊论文  OAI收割
OPTIK, 2020, 卷号: 202
作者:  
Lin Di;  Wu Yi-ming
  |  收藏  |  浏览/下载:35/0  |  提交时间:2020/02/25
北斗系统QMBOC信号无模糊多径抑制算法研究1 期刊论文  OAI收割
时间频率学报, 2020, 卷号: 43, 期号: 2, 页码: 153
作者:  
王森;  王雪;  霍翔;  饶永南;  陈校非
  |  收藏  |  浏览/下载:50/0  |  提交时间:2021/11/29
Time Tracking of Different Cropping Patterns Using Landsat Images under Different Agricultural Systems during 1990-2050 in Cold China 期刊论文  OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 12, 页码: 22
作者:  
Pan, Tao;  Zhang, Chi;  Kuang, Wenhui;  De Maeyer, Philippe;  Kurban, Alishir
  |  收藏  |  浏览/下载:12/0  |  提交时间:2019/05/23
Time Tracking of Different Cropping Patterns Using Landsat Images under Different Agricultural Systems during 1990-2050 in Cold China 期刊论文  OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 12, 页码: 22
作者:  
Pan, Tao;  Zhang, Chi;  Kuang, Wenhui;  De Maeyer, Philippe;  Kurban, Alishir
  |  收藏  |  浏览/下载:20/0  |  提交时间:2019/05/23
Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:  
Dong Y.-X.;  Zhang H.-B.;  Li Y.;  Li Y.;  Li Y.
收藏  |  浏览/下载:111/0  |  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).  
Target detection against strong light based on gate viewing 期刊论文  OAI收割
proceedings of spie- the international society for optical engineering, Proceedings of SPIE- The International Society for Optical Engineering, 2011, 2011, 卷号: 8200, 8200, 页码: 82000v, 82000V
作者:  
Xinwei, Wang;  Yan, Zhou;  Songtao, Fan;  Yuliang, Liu;  Xinwei, W.(wangxinwei@semi.ac.cn)
  |  收藏  |  浏览/下载:28/0  |  提交时间:2012/06/14
High accuracy star image locating and imaging calibration for star sensor technology (EI CONFERENCE) 会议论文  OAI收割
6th International Symposium on Precision Engineering Measurements and Instrumentation, August 8, 2010 - August 11, 2010, Hangzhou, China
作者:  
Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:21/0  |  提交时间:2013/03/25
Today aircraft attitude measurement technology plays an important role in an aircraft system because it can provide orientation for aircraft in action. Lately star sensor technology used in aircraft attitude measurement has become more and more popular because of its high accuracy  light weight  without attitude accumulation errors and other advantages. There are three main steps for star sensor to measure aircraft attitude  star image locating  star identification and attitude tracking. The latter two steps are based on the accuracy of star image locating. So it's critical to make efforts to advance the accuracy of star image locating. Some imaging errors  such as spherical aberration or coma aberration  also have negative effect on the accuracy of star image locating  of which the effect is necessarily reduced as well. At the beginning of this article  the structure of star sensor hardware is introduced. Secondly three methods for star image locating are described specifically  which are traditional centroid method  Gauss quadric fitting method and improved Gauss quadric fitting method. Subsequently an imaging calibration method is described for the purpose of reducing the effect of imaging errors. Finally the experiment shows that the accuracy of the star sensor is 2-arc-second. 2010 SPIE.  
A study on atmospheric turbulence effects in full-optical free-space communication systems (EI CONFERENCE) 会议论文  OAI收割
2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China
作者:  
Liu P.
收藏  |  浏览/下载:22/0  |  提交时间:2013/03/25
Next generation free-space optical communication systems have used fiber-optic technology as the seamless connection between free-space and optical fiber. The full-optical free-space optical communication systems use optical fiber as the receiver to get faster communication speed. The atmospheric turbulence deeply influenced on the optical wave propagated in terrestrial application. As the active receiving area of the full-optical free-space optical communication systems is very small  it is important to research on the atmospheric turbulence effects on the full-optical free-space optical communication system. In this paper  we discuss about both the turbulence-induced intensity fluctuations and the angle-of-arrival effects in full-optical free-space optical communication systems which are used in a few kilometers communication. We gave the numerical results of the atmosphere turbulence effects on the free-space optical communication systems. In order to minimize the atmospheric turbulence influence on the full-optical free-space optical communications system  we also investigate the use of fine tracking system in the communication system. We have set up a full-optical free-space communication system in Tokyo and received useful data from the experiment. We compared the receiving power of the experiment  when the fine tracking system is On and Off. From the experiment results  we can see that the fine tracking system effectively mitigates the atmospheric turbulence and increases the receiving power of the communication system. 2010 IEEE.