中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [4]
长春光学精密机械与物... [1]
古脊椎动物与古人类研... [1]
采集方式
OAI收割 [6]
内容类型
SCI/SSCI论文 [4]
会议论文 [1]
期刊论文 [1]
发表日期
2016 [4]
2009 [1]
2006 [1]
学科主题
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A comprehensive assessment of urban vulnerability and its spatial differentiation in China
SCI/SSCI论文
OAI收割
2016
作者:
Fang C. L.
;
Wang, Y.
;
Fang, J. W.
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2017/11/09
urban vulnerability
comprehensive assessment
spatial differentiation
sustainable development
China
global environmental-change
social vulnerability
climate-change
scholarly networks
human dimensions
adaptation
hazards
resilience
policy
Another Tale of Two Cities: Understanding Human Activity Space Using Actively Tracked Cellphone Location Data
SCI/SSCI论文
OAI收割
2016
作者:
Xu Y.
;
Shaw, S. L.
;
Zhao, Z. L.
;
Yin, L.
;
Lu, F.
  |  
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2017/11/09
active cellphone location data
association rules
human activity space
spatiotemporal patterns
human mobility patterns
nonemployment activities
travel behavior
time
dimensions
users
model
work
Another Tale of Two Cities: Understanding Human Activity Space Using Actively Tracked Cellphone Location Data
SCI/SSCI论文
OAI收割
2016
作者:
Xu Y.
;
Shaw, S. L.
;
Zhao, Z. L.
;
Yin, L.
;
Lu, F.
收藏
  |  
浏览/下载:121/0
  |  
提交时间:2016/12/16
active cellphone location data
association rules
human activity space
spatiotemporal patterns
human mobility patterns
nonemployment activities
travel behavior
time
dimensions
users
model
work
A comprehensive assessment of urban vulnerability and its spatial differentiation in China
SCI/SSCI论文
OAI收割
2016
作者:
Fang C. L.
;
Wang, Y.
;
Fang, J. W.
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2016/12/16
urban vulnerability
comprehensive assessment
spatial differentiation
sustainable development
China
global environmental-change
social vulnerability
climate-change
scholarly networks
human dimensions
adaptation
hazards
resilience
policy
Virtual three dimensions reconstruction and isoline analysis of human marks on the surface of animal fossils
期刊论文
OAI收割
CHINESE SCIENCE BULLETIN, 2009, 卷号: 54, 期号: 9, 页码: 1564-1569
作者:
Wu XianZhu
;
Wang YunFu
;
Pei ShuWen
;
Wu XiuJie
;
the168@cqnu.edu.cn
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2013/11/27
Ancient Human
Behavior Patterns
Marks On The Surface Of Animal Fossils
Virtual Three Dimensions Reconstruction
Isoline Analysis
Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE)
会议论文
OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
Sun J.
;
Ma D.
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2013/03/25
The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task
for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type
the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP
but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly
we use frame grabber to capture the 4-bar target image data. Then according to image gray scale
we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets
along with known target visibility
are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm
demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.