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长春光学精密机械与物... [6]
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会议论文 [3]
期刊论文 [3]
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2021 [1]
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专题:长春光学精密机械与物理研究所
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Image-based method for the angular vibration measurement of a linear array camera
期刊论文
Applied Optics, 2021, 卷号: 60, 期号: 4, 页码: 1003-1012
作者:
X. Zhi-Peng
;
W. Chao
;
L. Ming
;
W. Chunxue
;
J. Hongguang and Y. Yue
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浏览/下载:3/0
  |  
提交时间:2022/06/13
A Robust Algorithm Based on Phase Congruency for Optical and SAR Image Registration in Suburban Areas
期刊论文
Remote Sensing, 2020, 卷号: 12, 期号: 20, 页码: 27
作者:
L. N. Wang,M. C. Sun,J. H. Liu,L. H. Cao and G. Q. Ma
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浏览/下载:2/0
  |  
提交时间:2021/07/06
Infrared-visible video automatic registration with contour feature matching
期刊论文
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2020, 卷号: 28, 期号: 5, 页码: 1140-1151
作者:
X.-L. Sun,G.-L. Han,L.-H. Guo,P.-X. Liu and T.-F. Xu
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浏览/下载:2/0
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提交时间:2021/07/06
Aircraft orientation error correction based on image aided navigation paper (EI CONFERENCE)
会议论文
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.
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浏览/下载:13/0
  |  
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.
Real time method for airport runway detection in aerial images (EI CONFERENCE)
会议论文
ICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing, July 7, 2008 - July 9, 2008, Shanghai, China
Di N.
;
Zhu M.
;
Wang Y.
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浏览/下载:15/0
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提交时间:2013/03/25
In this paper
we propose a novel method that combines improved chain codes based edge tracking (ICCBET) with Hough transform (HT) to successfully detect the airport runway in real time. ICCBET primarily removes the short and curving lines to reduce the pixels and confirms the approximate orientation to shorten the angle range HTprocesses in later. Furthermore
through using pyramid during HT stage
the computation cost is reduced considerably to satisfy real time performance. Finally
we fix the memory by designing a chain list array for the image to avoid overflow arise from building chain list with memory dynamic allocation. Experiments on various images show that our method satisfies the real time need with about 23.5 multiples computation reduction contrast to the original Hough transform (OHT) and overcomes the blur to localize the lines with high accuracy contrast to the original chain codes based edge tracking (OCCBET). 2008 IEEE.
PSO based gabor wavelet feature extraction method (EI CONFERENCE)
会议论文
2004 International Conference on Information Acquisition, ICIA 2004, June 21, 2004 - June 25, 2004, Hefei, China
Sun H.
;
Pan Y.
;
Zhang Y.
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浏览/下载:15/0
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提交时间:2013/03/25
In this paper
the time of feature extraction is faster. By test in low contrast image
2D continues Gabor wavelets are adopted to realize feature extraction. By optimize Gabor wavelet's parameters of translation
the feasibility and effectiveness of the algorithm are demonstrated by VC++ simulation platform in experiments. 2004 IEEE.
orientation
and scale to make it approximates a local image contour region. The method of Sobel edge detection is used to get the initial position and orientation value of optimization in order to improve the convergence speed. In the wavelet characteristic space
we adopt PSO (particle swarm optimization) Algorithm to identify points on the security border of the system. Comparing to the LM algorithm
it can ensure reliable convergence the target
which can improve convergent speed
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