Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
