NR Image Quality Assessment of Satellite Image

被引：0

作者：

Zhang, Dantong ^{[1
]}

Wang, Kunpeng ^{[2
]}

Jin, Yi ^{[1
]}

Bian, Peng ^{[3
]}

Tan, Jibo ^{[2
]}

机构：

[1] Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing, Peoples R China

[2] Beijing Inst Tracking & Telecommun Technol, Beijing 100094, Peoples R China

[3] North China Univ Technol, Sch Mech & Mat Engn, Beijing, Peoples R China

来源：

PROCEEDINGS OF 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP 2016) | 2016年

基金：

中国国家自然科学基金; 北京市自然科学基金;

关键词：

Image Quality Assessment; Indicator System; Satellite image processing; SVR;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Image Quality Assessment has already drawn growing attentions due to its crucial role in different image processing applications. Among these satellite image processing methods, image quality assessment is quite important because images may contain many different types of noise like blur, radiated noise, stray light, et. al., which have a bad effect on the subsequent image processing. In this paper, we propose a new Indicator System to value the image quality aiming at solving the problem of satellite image assessment. In the procedure, we use the Support Vector Regression (SVR) machine as the decision algorithm to compute the score of the image quality.

引用

页码：1867 / 1871

页数：5

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