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INTER-CALIBRATION OF NIGHTTIME LIGHT DATA BETWEEN DMSP/OLS AND NPP/VIIRS IN THE ECONOMIC CORRIDORS OF BELT AND ROAD INITIATIVE
会议论文
Yokohama, JUL 28-AUG 02, 2019
作者:
Bian Jinhu
;
Li Ainong
;
Lei Guangbin
;
Zhang Zhengjian
;
Nan Xi
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2020/08/20
DMSP/OLS
NPP/VIIRS
nighttime light data
invariant target
inter-calibration
OBOR
Ultra-wide field multispectral integrated spatial optical system design
会议论文
Beijing, China, 2019-07-07
作者:
Ren, Zhi-Guang
;
Li, Xu-Yang
;
Ni, Dong-Wei
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  |  
浏览/下载:4/0
  |  
提交时间:2020/03/04
optical design
ultra-wide field
multispectral imaging
large relative aperture
integrative optical system
RESEARCH ON CIRRUS CLOUDS IN TIBETAN PLATEAU USING MWHS ONBOARD CHINESE FY-3B/C METEOROLOGICAL SATELLITE
会议论文
36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, PEOPLES R CHINA, JUL 10-15, 2016
作者:
He Jieying
;
Zhang Shengwei
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  |  
浏览/下载:12/0
  |  
提交时间:2017/04/07
cirrus clouds
Tibetan Plateau
FY-3B/C
Dme
IWC
Evapotranspiration analysis based on topography algorithm in the Yellow River Delta
会议论文
Remote Sensing and Modeling of Ecosystems for Sustainability X, San Diego, CA, United states, August 26, 2013 - August 29, 2013
Ning, Jicai(1)
;
Gao, Zhiqiang(1,2)
;
Shi, Runhe(2)
;
Gao, Wei(2)
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  |  
浏览/下载:22/0
  |  
提交时间:2015/08/10
Evapotranspiration
Actual evapotranspiration
High resolution satellite data
LANDSAT TM
Meteorological information
Regional evapotranspiration
SEBAL model
Thermal infrared remote sensing
Yellow River delta
The registration of aerial infrared and visible images (EI CONFERENCE)
会议论文
2010 International Conference on Educational and Information Technology, ICEIT 2010, September 17, 2010 - September 19, 2010, Chongqing, China
Sun M.
;
Bao Z.
;
Liu J.
;
Wang Y.
;
Quan Y.
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  |  
浏览/下载:15/0
  |  
提交时间:2013/03/25
In order to solve the registration problem of different source image existed on aerial image fusion
algorithms based on Particle Swarm Optimization (PSO) are applied as search strategy in this paper
and Alignment Metric (AM) is used as judgment. This study has realized the different source image registration of infrared and visible light with high speed
high accuracy and high reliability. Basically
with little restriction of gray level properties
a new alignment measure is applied
which can efficiently measure the image registration extent and tolerate noise well. Even more
the intelligent optimization algorithm - Particle Swarm Optimization (PSO) is combined to improve the registration precision and rate of infrared and visible light. Experimental results indicate that
the study attains the registration accuracy of pixel level
and every registration time is cut down over 40 percent compared to traditional method. The match algorithm based on AM
solves the registration problem that greater differences between different source images are existed on gray and characteristic. At the same time
the adoption of combining the intelligent optimization algorithms significantly improves the searching efficiency and convergence speed of the algorithms
and the registration result has higher accuracy and stability
which builds up solid foundation for different source image fusion. The method in this paper has a magnificent effect
and is easy for application and very suitable for engineering use. 2010 IEEE.
Defect study on several fluoride coatings
会议论文
Proceedings of SPIE, 2009
作者:
Zhang Yaoping
;
Zhang Yundong
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  |  
浏览/下载:7/0
  |  
提交时间:2016/11/24
A novel method of pattern recognition for honey source base on Visible/Near infrared Spectroscopy: Genetic algorithm combined with support ve (EI收录)
会议论文
Proceedings - International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010, Sanya, China, October 23, 2010 - October 24, 2010
作者:
Yang, Yan[1,2]
;
Nie, Peng-Cheng[1,3]
;
Zhang, Wei[1,4]
;
He, Yong[1]
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浏览/下载:0/0
  |  
提交时间:2019/04/16
Artificial intelligence
Food products
Independent component analysis
Infrared devices
Near infrared spectroscopy
Pattern recognition
Principal component analysis
Quality control
Spectrum analysis
Support vector machines
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