基本信息来源于合作网站,原文需代理用户跳转至来源网站获取       
摘要:
In electronic confrontation, Synthetic Aperture Radar (SAR) is vulnerable to different types of electronic jamming. The research on SAR jamming image quality assessment can provide the prerequisite for SAR jamming and anti-jamming technology, which is an urgent problem that researchers need to solve. Traditional SAR image quality assessment metrics analyze statistical error between the reference image and the jamming image only in the pixel domain; therefore, they cannot reflect the visual perceptual property of SAR jamming images effectively. In this demo, we develop a SAR image quality assessment system based on human visual perception for the application of aircraft electromagnetic countermeasures simulation platform.The internet of things and cloud computing techniques of big data are applied to our system. In the demonstration, we will present the assessment result interface of the SAR image quality assessment system.
推荐文章
Groundwater quality assessment using multivariate analysis, geostatistical modeling, and water quali
Groundwater
Multivariate analysis
Geostatistical modeling
Geochemical modeling
Mineralization
Ordinary Kriging
Assessment of groundwater quality with special emphasis on nitrate contamination in parts of Gautam
Leachate
Hydrochemical parameters
Piper plot
Ternary and Durov's diagram
Spatial variation
内容分析
关键词云
关键词热度
相关文献总数  
(/次)
(/年)
文献信息
篇名 SAR Image Quality Assessment System Based on Human Visual Perception for Aircraft Electromagnetic Countermeasures
来源期刊 国际计算机前沿大会会议论文集 学科 社会科学
关键词 Synthetic APERTURE RADAR (SAR) image QUALITY assessment system human visual PERCEPTION internet of THINGS cloud computing
年,卷(期) 2015,(1) 所属期刊栏目
研究方向 页码范围 143-144
页数 2页 分类号 C5
字数 语种
DOI
五维指标
传播情况
(/次)
(/年)
引文网络
引文网络
二级参考文献  (0)
共引文献  (0)
参考文献  (0)
节点文献
引证文献  (0)
同被引文献  (0)
二级引证文献  (0)
2015(0)
  • 参考文献(0)
  • 二级参考文献(0)
  • 引证文献(0)
  • 二级引证文献(0)
研究主题发展历程
节点文献
Synthetic
APERTURE
RADAR
(SAR)
image
QUALITY
assessment
system
human
visual
PERCEPTION
internet
of
THINGS
cloud
computing
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
国际计算机前沿大会会议论文集
半年刊
北京市海淀区西三旗昌临801号
出版文献量(篇)
616
总下载数(次)
6
总被引数(次)
0
论文1v1指导