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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [2]
自动化研究所 [1]
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OAI收割 [3]
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会议论文 [2]
学位论文 [1]
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2010 [1]
2009 [1]
2006 [1]
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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.
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浏览/下载:19/0
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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 matching algorithm of navigation image based on corner detection (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, June 17, 2009 - June 19, 2009, Beijing, China
作者:
Zhang T.
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浏览/下载:44/0
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提交时间:2013/03/25
In order to meet requirement of real-time and high accuracy in image matching aided navigation
SSDA algorithm is used to match remote sensing image and template image coarsely
a fast and effective algorithm of remote sensing image matching based on corner detection is put forward. With the combination of rough and fine match
when the matching result is bigger than one to count absolute value sum of energy difference of characteristic point energy to realize fine match of remote sensing image and template image to locate the position of template image in remote sensing image accurately. Simulation experiment proves that the matching of a remote sensing image resolution of 1018*1530 and a template image resolution of 150*90 can be fulfilled within 2.392 second
wavelet transform is used to acquire low frequency component to realize image compression to decrease calculation work and increase matching speed. Harris corner detection algorithm is used to detect corner of remote sensing image and template image and energy of every corner is calculated
the algorithm is robust and effective
real time image navigation can be achieved. 2009 SPIE.
基于遥感图像的典型目标检测与辅助导航关键技术研究
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2006
作者:
王彦情
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浏览/下载:110/0
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提交时间:2015/09/02
遥感图像融合
目标识别
油库检测
城镇道路提取
景象辅助导航
Remote Sensing Image Fusion
Object Recognition
Oil Tank Detection
Urban Road Extraction
Image-aided Navigation