QQ客服 官方微博 反馈留言

浏览/检索结果: 共5条，第1-5条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序作者升序作者降序提交时间升序提交时间降序题名升序题名降序 Vehicle Trajectory Reconstruction and Home Places Estimation from Monitoring Data 会议论文 CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals 作者:  Yu, H.;  Yang, S.;  Liu, S.;  Ren, Y. 收藏  |  浏览/下载：56/0  |  提交时间：2019/12/30 Trajectories  Vehicles  Actual experiments  k-Means algorithm  Ordered weighted averaging  Research topics  Roadway networks  Trajectory reconstruction  Vehicle trajectories  Vehicle travels  Monitoring   Seismic attribute reduction based on covering rough set and its applications 期刊论文 Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2012, 卷号: 47, 期号: [db:dc_citation_issue], 页码: 740-746 作者:  Liu, Hongjie;  Lou, Bing;  Liu, Taoping;  Wei, Jianjie 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/10 Actual experiments  Attribute deduction  Classification accuracy  Continuous attribute  Covering rough sets  Equivalence relations  Prediction precision  Seismic attributes   A matching algorithm on statistical properties of Harris corner (EI CONFERENCE) 会议论文 2011 International Conference on Information and Automation, ICIA 2011, June 6, 2011 - June 8, 2011, Shenzhen, China He B.; Ming Z.; Wei Y. 收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25 The fundamental goal of target recognition and video tracking is to match target template with source image. Most matching methods are based on image intensity or multi-feature points. And the latter method is more popular for its high accuracy and small calculation. Image Registration Based on Feature Points focus on effective feature extraction of image points and paradigm. Harris corner in the image rotation  gray  noise and viewpoint change conditions  has an ideal match results  is more recent application of one feature point. This paper extract the Harris corner deviation and covariance firstly  experiments show that the two features exclusive  then applied them to image registration for the first time. A set of actual images have shown  this proposed method not only overcomes the complicated background  gray uneven distribution problems  but also pan and zoom the image has a good resistance. 2011 IEEE.   Image motion compensation for a certain aviation camera based on Lucy-Richardson algorithm (EI CONFERENCE) 会议论文 2011 International Conference on Electronics and Optoelectronics, ICEOE 2011, July 29, 2011 - July 31, 2011, Dalian, China Zhong C.; Fu J.; Ding Y. 收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25 According to the actual situation  when high quality and high precision are required for the image  both beforehand and afterwards compensation should be used. In this paper  we use Lucy-Richardson algorithm to compensate image motion of a certain aviation camera as an afterwards compensation. Firstly  we analyze the imaging principle of the camera and the reasons that cause image motion. Then we have a brief introduce of the Lucy-Richardson algorithm. At last  in order to show the feasibility of the method  we do some simulation. Through theoretical and practical analysis  experiments and test  we conclude the Lucy-Richardson algorithm can be used to compensate image motion for the certain camera. 2011 IEEE.   Geometrical modulation transfer function of different active pixel of CMOS APS (EI CONFERENCE) 会议论文 2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 2, 2005 - November 5, 2005, Zian, China Li J.; Liu J.; Hao Z. 收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25 The geometrical Modulation Transfer Function (MTF) of CMOS APS (active pixel sensor) is analyzed in this paper. Advanced APS have been designed and fabricated where different pixel shapes such as square  rectangle and L shape  were placed  because the amplifier circuit and other function circuits inter pixel of APS take up some pixel area. MTF is an important figure of merit in focal plane array imaging sensors. Research on analyzing the MTF for the proper pixel shape is currently in progress for a centroidal configuration of a target position. MTF will give us a more complete understanding of the tradeoffs opposed by the different pixel designs and by the signal processing conditions. Based on image sensor sampling and reconstructing model  the MTF expression of any active pixel shape has been deduced in this paper. According to actual pixel shape  three different active area pixels were analyzed  they were square  rectangle  and L shape  their Fill Factor (FF) is 30%  44% and 55%  respectively. Results of simulation experiments indicate that different pixel geometrical characteristics contribute significantly to the figures of their MTF. Different geometrical shape of active sensitive area of pixel and different station in pixel would influence MTF figures. The analysis results are important in designing better APS pixel and more important in analyzing imaging system performance of APS subpixel precision system.