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CAS IR Grid
机构
长春光学精密机械与物... [4]
遥感与数字地球研究所 [2]
沈阳自动化研究所 [2]
计算技术研究所 [1]
自动化研究所 [1]
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OAI收割 [10]
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会议论文 [7]
期刊论文 [2]
学位论文 [1]
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2015 [1]
2014 [1]
2011 [1]
2010 [2]
2008 [1]
2007 [1]
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An improved histogram matching algorithm for the removal of striping noise in optical remote sensing imagery
期刊论文
OAI收割
OPTIK, 2015, 卷号: 126, 期号: 23, 页码: 15536-15560
作者:
Cao, Biao
;
Du, Yongming
;
Xu, Daqi
;
Li, Hua
;
Liu, Qinhuo
收藏
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浏览/下载:47/0
  |  
提交时间:2016/04/20
Striping noise
Destriping
Optical imaging instrument
Detector response function
Improved histogram matching
Accurate matching method of multimodal image based on phase congruency and local mutual information
会议论文
OAI收割
International Symposium on Optoelectronic Technology and Application 2014, Beijing, China, May 13-15, 2014
作者:
Zhao CY(赵春阳)
;
Zhao HC(赵怀慈)
;
Zhao G(赵刚)
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2014/12/29
Multimodal Image Matching
Monogenic Phase Congruency
Edge Orientation Histogram
Multi Candidate Point Matching
Normalized Mutual Information
Removing the stripe noise in HJ-1A HSI images
会议论文
OAI收割
Remote Sensing of the Environment: The 17th China Conference on Remote Sensing
Gao, Hailiang
;
Gu, Xingfa
;
Yu, Tao
;
Li, Xiaoying
;
Zhi, Jinging
;
Xie, Yujuan
;
Ma, Xiaohong
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2014/12/07
Stripe noise
Destripe
Hyper-spectral imager
Spline interpolation
Moment matching
Fourier transform
HISTOGRAM-MODIFICATION
Earth elevation map production and high resolution sensing camera imaging analysis (EI CONFERENCE)
会议论文
OAI收割
Optoelectronic Imaging and Multimedia Technology, October 18, 2010 - October 20, 2010, Beijing, China
作者:
Dai L.
收藏
  |  
浏览/下载:237/0
  |  
提交时间:2013/03/25
The Earth's digital elevation which impacts space camera imaging has prepared and imaging has analysed. Based on matching error that TDI CCD integral series request of the speed of image motion
statistical experimental methods-Monte Carlo method is used to calculate the distribution histogram of Earth's elevation in image motion compensated model which includes satellite attitude changes
orbital angular rate changes
latitude
longitude and the orbital inclination changes. And then
elevation information of the earth's surface from SRTM is read. Earth elevation map which produced for aerospace electronic cameras is compressed and spliced. It can get elevation data from flash according to the shooting point of latitude and longitude. If elevation data between two data
the ways of searching data uses linear interpolation. Linear interpolation can better meet the rugged mountains and hills changing requests. At last
the deviant framework and camera controller are used to test the character of deviant angle errors
TDI CCD camera simulation system with the material point corresponding to imaging point model is used to analyze the imaging's MTF and mutual correlation similarity measure
simulation system use adding cumulation which TDI CCD imaging exceeded the corresponding pixel horizontal and vertical offset to simulate camera imaging when stability of satellite attitude changes. This process is practicality. It can effectively control the camera memory space
and meet a very good precision TDI CCD camera in the request matches the speed of image motion and imaging. 2010 SPIE.
The research for missile bullets' multiple targets of opto-electronic theodolites (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
Wei Z.
;
Liu Y.-H.
收藏
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浏览/下载:65/0
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提交时间:2013/03/25
The system of opto-electronic theodolites for measuring missile bullet provides parameter of missile bullet trajectory and affords primacy scientific data for completing campaign assign and obtaining ideal result of destroy. This article researches extraction arithmetic for missile bullet' multiple targets. Above all
enactment threshold of area
acquire middle axes of target by adopting Hough transforming and approximating and calculate obliquity angles of targets. In course of matching
accomplish missile bullet's multiple targets data association of serial images by making use of improving eigenfunction and achieve extraction of missile bullet's multiple targets after obtaining center position of targets
adopting OSTU method change numeral image into binary image
according to area of target
forecast searching region of target matching by using Kalman filter
area of targets
and abstract separately center position of targets and area of targets
judge conglutination and obstruct
then separate targets in term of wave crest and trough's variety of grey histogram of conglutination region
grey average of target and obliquity angles of targets. The experimental result shows that right ratio of the extraction targets reach to 90%. The article use correct mathematical model and reasonable arithmetic and obtain effectively parameter of missile bullet' multiple targets. 2010 IEEE.
at the same time
obtain grey average of target
mark target region
A New Fast Histogram Matching Algorithm for Laser Scan Data
会议论文
OAI收割
IEEE Conference on Robotics, Automation, and Mechatronics, Chengdu, China, September 21-24, 2008
作者:
Qiu Q(邱权)
;
Han JD(韩建达)
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2012/06/06
fast
histogram
matching
laser scan
Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE)
会议论文
OAI收割
2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China
作者:
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2013/03/25
real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper
we combine intensity
orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting
etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity
orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time
we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter
partial occlusions
illumination change
and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels
it only needs 12ms to complete the method. 2007 IEEE.
Object detection using spatial histogram features
期刊论文
OAI收割
IMAGE AND VISION COMPUTING, 2006, 卷号: 24, 期号: 4, 页码: 327-341
作者:
Zhang, HM
;
Gao, W
;
Chen, XL
;
Zhao, DB
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收藏
  |  
浏览/下载:35/0
  |  
提交时间:2019/12/16
object detection
spatial histogram features
feature selection
histogram matching
support vector machine
Adaptive Image Segmentation based on Fast Thresholding and Image Merging (EI CONFERENCE)
会议论文
OAI收割
16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006, November 29, 2006 - December 1, 2006, Hangzhou, China
作者:
Zhang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2013/03/25
Image segmentation is the first essential and important step of low level vision. This paper proposes a novel algorithm for adaptive image segmentation
it can be applied in many conditions
based on thresholding technique and segments merging according to their characteristics combine with spatial position. Our earlier work of getting the entire information of the histogram could help choose the multiple thresholds. However
including complex target segmented. We describe the algorithm in detail and perform simulation experiments. The computation based on pixels can fully parallel processing to save time. 2006 IEEE.
not all the peaks of the histogram correspond to obvious structural unit in the image. Spatial information must be involved. This paper also suggests subjoining segments matching for video image tracking. They will give great help to image segmentation. The proposed algorithm can meet the real-time requirement and lead to higher segmentation accuracy
some types of texture can also be segmented well
指纹匹配算法的研究与应用
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, 2003
作者:
张堂辉
收藏
  |  
浏览/下载:167/0
  |  
提交时间:2015/09/02
指纹识别
相似度直方图
细节匹配
纹理匹配
生物特征识别
fingerprint identification
similarity histogram
minutia matching
texture matching
biometrics