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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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长春光学精密机械与物... [4]
地质与地球物理研究所 [2]
中国科学院大学 [1]
沈阳自动化研究所 [1]
生态环境研究中心 [1]
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OAI收割 [9]
iSwitch采集 [1]
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会议论文 [5]
期刊论文 [5]
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Space Debris Detection Using Feature Learning of Candidate Regions in Optical Image Sequences
期刊论文
OAI收割
IEEE ACCESS, 2020, 卷号: 8, 页码: 150864-150877
作者:
Xi, Jiangbo
;
Xiang, Yaobing
;
Ersoy, Okan K.
;
Cong, Ming
;
Wei, Xin
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2020/10/23
Space debris
Feature extraction
Machine learning
Signal to noise ratio
Object detection
Image sequences
Optical imaging
Space debris detection
background estimation
candidate region extraction
deep learning
Characterization of humic-like substances in PM2.5 during biomass burning episodes on Weizhou Island, China
期刊论文
OAI收割
ATMOSPHERIC ENVIRONMENT, 2018, 卷号: 191, 页码: 258-266
作者:
Duan, Jingchun
;
Hu, Jingnan
;
Mao, Jingyin
;
Zhang, Kai
;
Tan, Jihua
  |  
收藏
  |  
浏览/下载:58/0
  |  
提交时间:2019/06/17
Atmospheric aerosols
Humic-like substances
Chemically-resolved PM2.5
Emission sources
Background region
Flame detection based on Spatio-Temporal Covariance matrix
会议论文
OAI收割
Macau, PEOPLES R CHINA, Augest 18-20, 2016
作者:
Tian DY(田冬英)
;
Gu CJ(古长军)
;
Cong Y(丛杨)
;
Zhang YZ(张艳珠)
;
Wang S(王帅)
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2016/11/27
Fire Detection
Background Subtraction
Region Covariance
Support Vector Machines
Geochemistry and sedimentary background of the Middle-Upper Permian cherts in the Xiang-Qian-Gui region
期刊论文
OAI收割
ACTA PETROLOGICA SINICA, 2010, 卷号: 26, 期号: 12, 页码: 3612-3628
作者:
Qiu Zhen
;
Wang QingChen
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2018/09/26
Chert
The Middle-upper Permian
Geochemistry
Sedimentary Background
Xiang-qian-gui Region
Geochemistry and sedimentary background of the Middle-Upper Permian cherts in the Xiang-Qian-Gui region
期刊论文
OAI收割
ACTA PETROLOGICA SINICA, 2010, 卷号: 26, 期号: 12, 页码: 3612-3628
作者:
Qiu Zhen
;
Wang QingChen
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2018/09/26
Chert
The Middle-upper Permian
Geochemistry
Sedimentary Background
Xiang-qian-gui Region
Adaptive deformation estimation of moving target by weight image analysis (EI CONFERENCE)
会议论文
OAI收割
2010 2nd International Conference on Future Computer and Communication, ICFCC 2010, May 21, 2010 - May 24, 2010, Wuhan, China
Bai X.-G.
;
Dai M.
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2013/03/25
An algorithm based on weight image analysis is proposed for adaptive deformation estimation of moving target in mean-shift tracking method. At the first
we get the weight image from the target candidate region. Then
we analyze the differences between the object and background. According to that
the area estimation of the target can be converted into the image segmentation task. To realize the adaptive segmentation and estimation
we define the threshold as the maximum variance between object and background. Combining the estimated area and covariance matrix
we can estimate the width
height and orientation of the object. The experimental results on three representative video sequences validate its robustness to the deformable estimation of the targets. 2010 IEEE.
Extracting sea-sky-line based on improved local complexity (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
作者:
Zhang Y.-F.
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2013/03/25
Sea-sky-line extraction under complicated sea-sky background is an important aspect of long-range target tracking research. An algorithm based on improved local complexity is proposed according to the feature that the sky and the sea usually show up at different gray levels in sea-sky background images. Median filter is applied first to remove peak noise
and then the point set of sea-sky-line region which has the greatest change in image is obtained by calculating the local complexity of image and selecting a segmentation threshold. Finally
Hough transform is used to extract the sea-sky-line. The experiment results indicate that this method can extract sea-sky-line under simple and complicated sea-sky backgrounds
which is robust and can improve noise immunity of the algorithm. 2010 IEEE.
Adaptive resolution storage system based on LOG-POLAR transform for multi-target trackers (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China
作者:
Zhang Y.
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2013/03/25
The main constrained problem of the video monitoring and storage system is the contradiction between large field of view and storage space limitations. Not all of the video information introduced by the image sensors need to be recorded especially for some tracking system which has appointed functions to track specifically kinds of targets. For instance
the system not only works for single target
if the monitor is appointed for human face tracking
but also can work for multi-targets. High reconstruction resolution in the fovea region enables the successive application of recognition modules without sacrificing their performance
the best system appears to be concentrating on human face only and all the others considered being background
the low reconstruction resolution in the periphery helps to reduce the video data. 2010 IEEE.
the background regions needn't to be recorded in detail. For this purpose
this letter presents a real-time foveate storage system
which efficiently represents the video image in log-polar coordinates
with the foveate point centered on the target
Petrogenesis of the lianyunshan granites in northeastern hunan province, south china, and its geodynamic implications.
期刊论文
iSwitch采集
Acta petrologica sinica, 2009, 卷号: 25, 期号: 5, 页码: 1056-1078
作者:
Xu DeRu
;
Wang Li
;
Li PengChun
;
Chen GuangHao
;
He ZhuanLi
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2019/05/10
Strongly peraluminous granite
Afc processes
Geodynamic background
Lianyunshan region in northeastern hunan province
Jiangnan oldland
Detecting of multi-target in sea or sky background based on wavelet energy (EI CONFERENCE)
会议论文
OAI收割
Advanced Sensor Systems and Applications II, November 8, 2004 - November 12, 2004, Beijing, China
作者:
Liu G.
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2013/03/25
The technology of multi-target tracking is always detecting small targets in complex background. According to the frequency characteristic of nature background and small target
a method of detecting targets based on wavelet energy is suggested. The energy of targets in horizontal and vertical direction outclass that of background
or we can say
the gray degree of targets outclass that of background. Then through selecting adaptive region-value
targets and background can be divided. By the method of classifying
the figure centers of every target can be calculated. According to the figure centers of every target in several neighboring frames
the position and velocity of every target in next frame can be estimated by Kalman filter. Experiment results have shown that small targets in sea or sky nature background can be detected by this method
and they can be tracking.