
Proceedings Paper
Research of on-orbit MTF measurement for the satellite sensorsFormat | Member Price | Non-Member Price |
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Paper Abstract
Modulation Transfer Function (MTF) is significant in evaluating the performance of optical
imaging system. Its value lies in that it can reflect the quality of imaging system directly. Especially due to the impact of the platform launch, it is important to measure the MTF value of
the sensors at the moments when images are being captured. In other words, it is important to conduct on-orbit MTF detection for imaging systems. The on-orbit MTF value directly reflects
the performance of imaging sensors in many applications and research.
This paper introduces the theoretical basis and the principle of on-orbit MTF measurement with
remote sensing images, and then it systematically summarizes the calculation process of knife-edge
method, pulse method, point light source method and the periodic target method. With the images of CBERS-02C satellite and ZY-03 satellite, the four methods for measuring the on-orbit
MTF value have been tested. The test results and other factors, such as the nature feature selection and the construction of artificial targets, are taken into account. This paper compares different
methods of on-orbit MTF measurement to find the most suitable one that can be used with
different satellite sensors.
Paper Details
Date Published: 14 May 2014
PDF: 8 pages
Proc. SPIE 9158, Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China, 915809 (14 May 2014); doi: 10.1117/12.2064148
Published in SPIE Proceedings Vol. 9158:
Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China
Qingxi Tong; Jie Shan; Boqin Zhu, Editor(s)
PDF: 8 pages
Proc. SPIE 9158, Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China, 915809 (14 May 2014); doi: 10.1117/12.2064148
Show Author Affiliations
Huijie Li, Wuhan Univ. (China)
Published in SPIE Proceedings Vol. 9158:
Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China
Qingxi Tong; Jie Shan; Boqin Zhu, Editor(s)
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