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Chinese Academy of Sciences Institutional Repositories Grid
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Athermalization of Optical System with Large Field of View for Image Navigation 会议论文  OAI收割
Wuhan, China, 2023-08-26
作者:  
Zhang, Jialei;  Xue, Yaoke;  Zhou, Canglong;  Lin, Shangmin;  Liu, Meiying
  |  收藏  |  浏览/下载:16/0  |  提交时间:2023/12/06
Navigating Diverse Salient Features for Vehicle Re-Identification 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 10
作者:  
Qian, Wen;  He, Zhiqun;  Chen, Chen;  Peng, Silong
  |  收藏  |  浏览/下载:39/0  |  提交时间:2022/09/19
Vision-Based Power Line Segmentation With an Attention Fusion Network 期刊论文  OAI收割
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 8, 页码: 8196-8205
作者:  
Yang, Lei;  Fan, Junfeng;  Xu, Shuai;  Li, En;  Liu, Yanhong
  |  收藏  |  浏览/下载:41/0  |  提交时间:2022/07/25
A robust rectification algorithm for the vision navigation system of the planetary rover 期刊论文  OAI收割
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, 卷号: 10092, 页码: 97-108
作者:  
Wang, Huaichao;  Jiang, Kai;  Zhang, Xuequan;  Li, Haifeng;  Jin, Xin
收藏  |  浏览/下载:25/0  |  提交时间:2017/04/07
The combination design for open and endoscopic surgery using fluorescence molecular imaging technology 会议论文  OAI收割
San Francisco, 2015.02.07-08
作者:  
Yamin Mao;  Shixin Jiang;  Jinzuo Ye;  Yu An
  |  收藏  |  浏览/下载:25/0  |  提交时间:2018/07/06
Establishing Dynamic Model for Mobile CARM 会议论文  OAI收割
2013 IEEE International Conference on Information and Automation, Yinchuan, China, August 26-28, 2013
作者:  
Song GL(宋国立);  Han JD(韩建达);  Zhao YW(赵忆文);  Chen, Chen
收藏  |  浏览/下载:27/0  |  提交时间:2013/12/26
The ship-borne infrared searching and tracking system based on the inertial platform (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:  
Li Y.;  Zhang H.;  Zhang H.;  Li Y.;  Li Y.
收藏  |  浏览/下载:36/0  |  提交时间:2013/03/25
As a result of the radar system got interferenced or in the state of half silent  it can cause the guided precision drop badly In the modern electronic warfare  therefore it can lead to the equipment depended on electronic guidance cannot strike the incoming goals exactly. It will need to rely on optoelectronic devices to make up for its shortcomings  but when interference is in the process of radar leading  especially the electro-optical equipment is influenced by the roll  pitch and yaw rotation  it can affect the target appear outside of the field of optoelectronic devices for a long time  so the infrared optoelectronic equipment can not exert the superiority  and also it cannot get across weapon-control system "reverse bring" missile against incoming goals. So the conventional ship-borne infrared system unable to track the target of incoming quickly  the ability of optoelectronic rivalry declines heavily.Here we provide a brand new controlling algorithm for the semi-automatic searching and infrared tracking based on inertial navigation platform. Now it is applying well in our XX infrared optoelectronic searching and tracking system. The algorithm is mainly divided into two steps: The artificial mode turns into auto-searching when the deviation of guide exceeds the current scene under the course of leading for radar.When the threshold value of the image picked-up is satisfied by the contrast of the target in the searching scene  the speed computed by using the CA model Least Square Method feeds back to the speed loop. And then combine the infrared information to accomplish the closed-loop control of the infrared optoelectronic system tracking. The algorithm is verified via experiment. Target capturing distance is 22.3 kilometers on the great lead deviation by using the algorithm. But without using the algorithm the capturing distance declines 12 kilometers. The algorithm advances the ability of infrared optoelectronic rivalry and declines the target capturing time by using semi-automatic searching and reliable capturing-tracking  when the lead deviation of the radar is great. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  
Research on the mathematic model of direct geolocation with airborne SAR image 会议论文  OAI收割
2011 International Symposium on Image and Data Fusion, ISIDF 2011,, Tengchong, Yunnan, China, August 9, 2011 - August 11,2011
Yue, X.J.; Han, C.M.
收藏  |  浏览/下载:20/0  |  提交时间:2014/12/07
Scene matching based on directional keylines and polar transform (EI CONFERENCE) 会议论文  OAI收割
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
作者:  
Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:24/0  |  提交时间:2013/03/25
Scene matching under complex background is a priority and difficulty in the field of computer vision  it has the characteristics of rotation and scaling invariance  commonly used in matching real-time collected images and photos for navigation. Scene matching techniques are faced with complex natural scenes  anti-light and anti-slight-distortion  the image distortion exist  applicable for complex scene matching. The project has a new idea: combining the keylines with the vectors description based on polar image translation  such as light  and utilize the rotation-scale-invariance vectors to describe the extracted keylines  change of gray levels  this method includes three steps: keylines extraction  perspective  description and matching. Preliminary experiments show that this keylines-based scene matching algorithm is applicable for image matching under complex background. 2010 IEEE.  scaling and other differences  which cause matching difficult. This paper aims to find a scene matching algorithm  
Aircraft orientation error correction based on image aided navigation paper (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Tao Z.; Yang L.-M.
收藏  |  浏览/下载:20/0  |  提交时间:2013/03/25
In allusion to the character of aircraft orientation error in inertial navigation system increasing with its working time and error accumulation  airborne image aided navigation system is imported in inertial navigation system to combine integrated navigation system. To acquire high orientation accuracy and high matching speed a new algorithm based on multi-scale edge detection and generalized point theory is put forward. At first multi-scale edge detection algorithm is adopted to realize airborne image edge detection  then image matching algorithm is used based on generalized point theory is used to eliminate error accumulation of peg-top excursion and accelerometer error to correction aircraft aircraft pose error to increase navigation accuracy of aircraft. To prove the algorithm is effective and robust  simulative experiment is done. The simulative experiment indicated that aircraft orientation accuracy is better than inertial navigation system  and its orientation error is less than 15 meters after airborne image aided navigation correction. 2010 IEEE.