Loading…

Through-field Investigation of Stray Light for the Fore-optics of an Airborne Hyperspectral Imager

Remote-sensing optical payloads, especially hyperspectral imagers, have particular issues with stray light because they often encounter high-contrast target/background conditions, such as sun glint. While developing an optical payload, we usually apply several stray-light analysis methods, including...

Full description

Saved in:
Bibliographic Details
Published in:Current optics and photonics 2022, 6(3), , pp.313-322
Main Authors: Cha, Jae Deok, Lee, Jun Ho, Kim, Seo Hyun, Jung, Do Hwan, Kim, Young Soo, Jeong, Yumee
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Remote-sensing optical payloads, especially hyperspectral imagers, have particular issues with stray light because they often encounter high-contrast target/background conditions, such as sun glint. While developing an optical payload, we usually apply several stray-light analysis methods, including forward and backward analyses, separately or in combination, to support lens design and optomechanical design. In addition, we often characterize the stray-light response over a full field to support calibration, or when developing an algorithm to correct stray-light errors. For this purpose, we usually use forward analysis across the entire field, but this requires a tremendous amount of computational time. In this paper, we propose a sequence of forward-backward-forward analyses to more effectively investigate the through-field response of stray light, utilizing the combined advantages of the individual methods. The application is an airborne hyperspectral imager for creating hyperspectral maps from 900 to 1700 nm in a 5-nm-continuous band. With the proposed method, we have investigated the through-field response of stray light to an effective accuracy of 0.1°, while reducing computation time to 1/17th of that for a conventional, forward-only stray-light analysis.
ISSN:2508-7266
2508-7274
DOI:10.3807/COPP.2022.6.3.313