파면수차 미분법과 오차함수 회귀법이 결합된 정렬 예측 성능 분석

Title
파면수차 미분법과 오차함수 회귀법이 결합된 정렬 예측 성능 분석
Alternative Title
Alignment estimation performances of merit function regression with differential wavefront sampling in multiple design configuration Optimization
Author(s)
오은송; 김석환; 조성익; 유주형
KIOST Author(s)
Cho, Seong Ick(조성익)Ryu, Joo Hyung(유주형)
Publication Year
2011-10-31
Abstract
In our earlier study, we suggested a new alignment estimation method combining merit function regression (MFR) with differential wavefront sampling (DWS). We now report alignment state estimation performances of the method. The target optical systems used are small two-mirror Cassegrain system for deep space Earth observation, intermediate size three-mirror anastgimat for earth ocean monitoring, and extremely large segmented optical system for astronomical observation. We disturbed the optical system by known amounts for selected mis-alignment parameters and ran the prediction computation. The results indicate that the new method brings noticeable improvement to alignment prediction accuracy over the conventional MFR and DWS.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/28123
Bibliographic Citation
SPIE Optical Engineering + Applications, pp.1 - 12, 2011
Publisher
SPIE
Type
Conference
Language
English
Publisher
SPIE
Related Researcher
Research Interests

Coastal Remote Sensing,RS based Marine Surveillance System,GOCI Series Operation,연안 원격탐사,원격탐사기반 해양감시,천리안해양관측위성 운영

Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse