No-reference remote sensing image quality assessment using a comprehensive evaluation factor

2014 ◽  
Author(s):  
Lin Wang ◽  
Xu Wang ◽  
Xiao Li ◽  
Xiaopeng Shao
Keyword(s):  
Remote Sensing ◽  
Image Quality ◽  
Quality Assessment ◽  
Image Quality Assessment ◽  
Comprehensive Evaluation ◽  
Remote Sensing Image

Remote Sensing Image Quality Assessment Based on Engineering Quality and Spectral Quality

2014 ◽  
Vol 1073-1076 ◽  
pp. 1922-1933
Author(s):  
Ying Li ◽  
Can Cui ◽  
Qi Gang Jiang ◽  
Hong Ji Chen ◽  
Xue Yuan Zhu
Keyword(s):  
Remote Sensing ◽  
Image Quality ◽  
Quality Assessment ◽  
Image Quality Assessment ◽  
Ecological Monitoring ◽  
Remote Sensing Image ◽  
Curve Space ◽  
Spectral Quality ◽  
Characteristic Space ◽  
Data Source

This paper presented a new method to evaluate Remote Sensing image quality, by comparing ZY1-02C, ZY3, and SPOT5 images on the engineering quality and spectral quality. It is important to explore new options to evaluate different Remote Sensing image sources quality, in order to ensure the users could apply a best fit data source to environmental monitoring, ecological monitoring and so on. In this article, there were three aspects in the engineering quality assessment part, including the statistical character, the texture and the energy. And in the spectral quality assessment part, the imaging space, the curve space and the characteristic space were built to compare and measure different spectral ability of extracting ground objects among ZY1-02C, ZY3 and SPOT5 images. The result shows such a Remote Sensing image quality assessment can be generalized to choose suitable data source for some specific field.

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