Stray light correction method for telescopes with linear detector arrays in push-broom configuration: application to CO2M-CLIM

Telescopes employing linear detector arrays in a push-broom configuration enable the reconstruction of two-dimensional images of the Earth by recombining successive one-dimensional captures. This configuration, which typically features a wide field of view in the across-track direction but a narrow one in the along-track direction, often suffers from stray light, which degrades optical quality by introducing artifacts into the images. With increasingly stringent performance requirements, there is a critical need to implement effective stray light (SL) correction algorithms in addition to control by design. We describe the development of such an algorithm, using the cloud imager (CLIM) linear detector array instrument as a case study. Our approach involves calibrating SL kernels obtained by illuminating the instrument with a point-like source from various angles. In the along-track direction, we interpolate the SL kernel for any field angle without initial assumptions about SL behavior. For the across-track direction, we employ a local shift variant assumption. When applied to images of a checkerboard scene, which includes transitions between bright and dark areas, our algorithm successfully reduces SL by two orders of magnitude, demonstrating its efficacy and potential for broader application in telescopes with linear detector array.

Authors

Institutions

Publication Details

Journal
Optical Engineering
Published
2024-12-04
DOI
https://doi.org/10.1117/1.oe.63.12.124101
Citations
1
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
0.28

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stray light correction method for telescopes with linear detector arrays in push-broom configuration: application to CO2M-CLIM

Lionel Clermont, Aaron Algoedt, Stefan Lesschaeve
1 citations
Optical Engineering
Atmospheric and Environmental Gas Dynamics
0.28
article

Stray light correction method for telescopes with linear detector arrays in push-broom configuration: application to CO2M-CLIM

Lionel Clermont, Aaron Algoedt, Stefan Lesschaeve
article en
1 citations

Abstract

Telescopes employing linear detector arrays in a push-broom configuration enable the reconstruction of two-dimensional images of the Earth by recombining successive one-dimensional captures. This configuration, which typically features a wide field of view in the across-track direction but a narrow one in the along-track direction, often suffers from stray light, which degrades optical quality by introducing artifacts into the images. With increasingly stringent performance requirements, there is a critical need to implement effective stray light (SL) correction algorithms in addition to control by design. We describe the development of such an algorithm, using the cloud imager (CLIM) linear detector array instrument as a case study. Our approach involves calibrating SL kernels obtained by illuminating the instrument with a point-like source from various angles. In the along-track direction, we interpolate the SL kernel for any field angle without initial assumptions about SL behavior. For the across-track direction, we employ a local shift variant assumption. When applied to images of a checkerboard scene, which includes transitions between bright and dark areas, our algorithm successfully reduces SL by two orders of magnitude, demonstrating its efficacy and potential for broader application in telescopes with linear detector array.

Optical EngineeringVol. 63(12)
University of Liège (BE), ON Semiconductor (Belgium) (BE)
European Space Agency
Affordable and clean energy
Openalex Percentile: Top 40%
Atmospheric and Environmental Gas Dynamics
0.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.