19 July 2024 Frequent oversights in on-orbit modulation transfer function estimation of optical imager onboard EO satellites
Bhaskar Dubey, Anuja Sharma, Shilpa Prakash, Nikunj P. Darji, Debajyoti Dhar
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Abstract

Modulation transfer function (MTF) is one among the key image quality indicators that characterizes the spatial response of an imaging system. There are various techniques suggested in the literature for quantification of MTF, for instance, slit-based method, point target-based method, image-structure- and fractal characteristic-based methods, and the slant-edge method. For high-resolution satellites, slant-edge-based method for on-orbit MTF estimation is the standard and widely used method due to its simplicity of implementation and practical feasibility. However, the edge-based method relies on accurate estimation of certain parameters failing, but the results may be misleading. We present the frequently occurred oversights and inadvertent miscalculations in MTF estimation using the slant-edge-based technique for high-resolution satellite sensors. We mainly address the two most common oversights in on-orbit MTF estimation process: (1) optimal edge width estimation and (2) precise empirical modeling of the slant edge. A rigorous sensitivity analysis suggests that oversights in any of these two factors can severely under or over estimate the MTF numbers. We establish accurate slant-edge-based MTF estimation procedure that can potentially avoid the aforementioned oversights.

© 2024 Society of Photo-Optical Instrumentation Engineers (SPIE)
Bhaskar Dubey, Anuja Sharma, Shilpa Prakash, Nikunj P. Darji, and Debajyoti Dhar "Frequent oversights in on-orbit modulation transfer function estimation of optical imager onboard EO satellites," Journal of Applied Remote Sensing 18(3), 036501 (19 July 2024). https://doi.org/10.1117/1.JRS.18.036501
Received: 8 March 2024; Accepted: 5 July 2024; Published: 19 July 2024
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KEYWORDS
Modulation transfer functions

Satellites

Astatine

Image quality

Modeling

Imaging systems

Data modeling

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