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地理科学与资源研究所 [3]
清华大学 [1]
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Research on the dissipation of green tide and its influencing factors in the Yellow Sea based on Google Earth Engine
期刊论文
MARINE POLLUTION BULLETIN, 2021, 卷号: 172, 页码: 13
作者:
Li, Dongxue
;
Gao, Zhiqiang
;
Xu, Fuxiang
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2021/11/10
Green tide
Dissipation
Multi-source satellite data
Long-term
Environmental factors
Influence
Spatial Distribution Assessment of Terrorist Attack Types Based on I-MLKNN Model
期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 卷号: 10, 期号: 8, 页码: 22
作者:
Zhao, Ruifang
;
Xie, Xiaolan
;
Zhang, Xun
;
Jin, Min
;
Hao, Mengmeng
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2021/11/05
assessment
terrorist attack types
I-MLKNN
multi-source factors
Analysis of factors affecting urban park service area in Beijing: Perspectives from multi-source geographic data
期刊论文
LANDSCAPE AND URBAN PLANNING, 2019, 卷号: 181, 页码: 103-117
作者:
Guo, Sihui
;
Yang, Gege
;
Pei, Tao
;
Ma, Ting
;
Song, Ci
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  |  
浏览/下载:43/0
  |  
提交时间:2019/05/23
Urban parks
Service area
Travel behavior
Influencing factors
Multi-source data
On the Risk Assessment of Terrorist Attacks Coupled with Multi-Source Factors
期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2018, 卷号: 7, 期号: 9, 页码: 19
作者:
Zhang, Xun
;
Jin, Min
;
Fu, Jingying
;
Hao, Mengmeng
;
Yu, Chongchong
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  |  
浏览/下载:28/0
  |  
提交时间:2019/05/23
location recommendation algorithm
risk assessment
terrorist attacks
multi-source factors
spatial clustering
Quantitative assessment for network security situation based on weighted factors
期刊论文
Journal of Computational Methods in Sciences and Engineering, 2016, 卷号: Vol.16 No.4, 页码: 821-833
作者:
Wen, Zhicheng
;
Tang, Jun
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/31
Multi-source information
information fusion
weighted factors
security situation assessment
Analysis of evolution of rivers and driving force in the Qingkou region based on multi-source remote sensing data
期刊论文
2010, 2010
Mao Feng
;
Huang Jianxi
;
Hu Qiang
;
Zhou Wensheng
;
Li Qiang
;
Liu Ze
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  |  
浏览/下载:3/0
Non-uniformity correction in multi-CCD imaging system (EI CONFERENCE)
会议论文
2010 2nd International Conference on Mechanical and Electronics Engineering, ICMEE 2010, August 1, 2010 - August 3, 2010, Kyoto, Japan
Tao M.
;
Ren J.
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浏览/下载:16/0
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提交时间:2013/03/25
The non-uniformity phenomenon exists in each channel of multi-CCD imaging systems. The factors which lead to the problem are complex. The conventional calibrating algorithms can not consider all of these factors and have poor effects. According to the characters of multi-CCD imaging systems
a non-uniformity correction method based on the scene was proposed by adopting the traditional two-point correction theories. The correction coefficient of each channel image can be calculated via the linear relation between the two neighboring pixel lines in the two-channel images. Compared with the conventional two-point calibration and multi-point calibration methods
contrastive calibrating results were obtained. This method does not need any standard lighted image as reference source
which provides a real time way for calibrating the multi-CCD imaging systems in practical applications. 2010 IEEE.
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