MTF analysis using lunar observations for Himawari-8/AHI

Graziela R. Keller; Tiejun Chang; Xiaoxiong Xiong

doi:10.1117/12.2274091

5 September 2017 MTF analysis using lunar observations for Himawari-8/AHI

Graziela R. Keller, Tiejun Chang, Xiaoxiong Xiong

Proceedings Volume 10402, Earth Observing Systems XXII; 104022I (2017) https://doi.org/10.1117/12.2274091
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

The modulation transfer function, or MTF, is a common measure of image fidelity, which has been historically characterized on-orbit using high contrast images of the lunar limb obtained by remote sensing instruments onboard both low-orbit and geostationary satellites. Himawari-8, launched in 2014, is a Japanese geostationary satellite that carries the Advanced Himawari Imager (AHI), a near-identical copy of the Advanced Baseline Imager (ABI) instrument onboard the GOES-16 satellite. In this paper, we apply a variation of the slantededge method for deriving the MTF from lunar images, first verified by us on simulated test images, to the Himawari-8/AHI L1A and L1B data. The MTF is derived along the North/South and East/West directions separately. The AHI L1A images used in the characterization of the MTF are obtained from lunar observations routinely acquired for validating the radiometric calibration. The L1B data, which is spatially re-sampled, come from serendipitous lunar observations where the Moon appears close to the Earth’s disk. We developed and implemented an algorithm to identify such occurrences using the SPICE/Icy package to predict the times where the Moon is visible in the L1B imagery and demonstrate their use for MTF derivation.

Citation Download Citation

Graziela R. Keller, Tiejun Chang, and Xiaoxiong Xiong "MTF analysis using lunar observations for Himawari-8/AHI", Proc. SPIE 10402, Earth Observing Systems XXII, 104022I (5 September 2017); https://doi.org/10.1117/12.2274091

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available