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浏览/检索结果: 共5条，第1-5条 帮助

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EKUM: An Accurate Method for Updating Knowledge Graphs in Earth System Science for Novel Thematic Terms 期刊论文  OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 3001812
作者:  Chen, Jin;  Wang, Shu;  Zhu, Yunqiang;  Duan, Fuzhou;  Dai, Xiaoliang
  |  收藏  |  浏览/下载：0/0  |  提交时间：2026/01/21
Experimental investigation on the enhanced oil recovery efficiency of polymeric surfactant: Matching relationship with core and emulsification ability 期刊论文  OAI收割
PETROLEUM SCIENCE, 2023, 卷号: 20, 期号: 1, 页码: 619
作者:  Chen, Xin;  Li, Yi-Qiang;  Liu, Zhe-Yu;  Trivedi, Japan;  Gao, Wen-Bin
  |  收藏  |  浏览/下载：51/0  |  提交时间：2023/08/02
Gradient characteristics and strength matching in friction stir welded joints of Fe-18Cr-16Mn-2Mo-0.85N austenitic stainless steel 期刊论文  OAI收割
Materials Science and Engineering a-Structural Materials Properties Microstructure and Processing, 2014, 卷号: 616, 页码: 246-251
D. X. Du; R. D. Fu; Y. J. Li; L. Jing; Y. B. Ren; K. Yang
收藏  |  浏览/下载：63/0  |  提交时间：2015/01/14
Mean shift tracking combining SIFT (EI CONFERENCE) 会议论文  OAI收割
2008 9th International Conference on Signal Processing, ICSP 2008, October 26, 2008 - October 29, 2008, Beijing, China
作者:  Xue C.
收藏  |  浏览/下载：82/0  |  提交时间：2013/03/25
A novel visual tracking algorithm to cope with occlusion and scale variation is proposed. This method combines mean shift and SIFT algorithm to track object. SIFT algorithm is invariant to rotation  translation and scale variation. But it is a timeconsuming algorithm. The wasting time is related to image size. So the proposed algorithm first adopts mean shift to initially locate object position  then SIFT operator is used to detect features in object area and model area  lastly  the proposed method matches features in these two areas and calculates the relationship between them using affine transform. According to affine transform parameters  the state of object can be adjusted in time. In order to reduce process time  an improved feature matching algorithm is proposed in this paper. Experiments show that the proposed algorithm deals with occlusion successfully and can adjust object size in time. 2008 IEEE.  
Intersectant multi-target serial number fuzzy match by multi-parameters (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:  Wang Y.-J.
收藏  |  浏览/下载：266/0  |  提交时间：2013/03/25
In order to match the intersectant targets' tab when these objects separate  a kind of method that makes use of fuzzy multi-parameter to match targets is proposed. Multi-parameters include the forecasted position after targets separate  target speed  target size and geometry shape  and different parameter corresponds to different influence coefficient  evaluate the integrated matching coefficient that every observation target corresponds to forecasted target  and the corresponding relationship that matching coefficient is the biggest is the best matching result. In order to locate the position and speed of forecasted target  a new method of track forecast is proposed  firstly  Hough transform is used to the object's track before objects intersect  by this  the object's positions that the warp between forecasted location and observation location is large enough is eliminated  then least square method is used for track forecast by the remainder valid positions  and get hold of the forecasted position when objects separate. The experiment results show: when tracking the bulky objects which intersect and separate  the right identification probability of traditional least square method is 87.5%  and the right identification probability of fuzzy match by multi-parameters can attain 96%  the reliability improves in evidence.