Browse > Article
http://dx.doi.org/10.5140/JASS.2007.24.3.235

DEVELOPMENT AND ANALYSIS OF IMAGE REGISTRATION PROGRAM FOR THE COMMUNICATION, OCEAN, METEOROLOGICAL SATELLITE(COMS)  

Lee, Un-Seob (Dept. of Astronomy, Yonsei University)
Choi, Yoon-Hyuk (KAIST)
Park, Sang-Young (Dept. of Astronomy, Yonsei University)
Bang, Hyo-Choong (KAIST)
Ju, Gwang-Hyeok (Korea Aerospace Research Institute)
Yang, Koon-Ho (Korea Aerospace Research Institute)
Publication Information
Journal of Astronomy and Space Sciences / v.24, no.3, 2007 , pp. 235-248 More about this Journal
Abstract
We developed a software for simulations and analyses of the Image Navigation and Registration (INR) system, and compares the characteristics of Image Motion Compensation (IMC) algorithms for the INR system. According to the orbit errors and attitude errors, the capabilities of the image distortions are analyzed. The distortions of images can be compensated by GOES IMC algorithm and Modified IMC (MIMC) algorithm. The capabilities of each IMC algorithm are confirmed based on compensated images. The MIMC yields better results than GOES IMC although both the algorithms well compensate distorted images. The results of this research can be used as valuable asset to design of INR system for the Communication, Ocean, Meteorological Satellite (COMS).
Keywords
communication ocean and meteorological satellite (COMS); image navigation and registration system; image motion compensation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 박상영, 방효충, 이운섭, 최윤혁, 김영록, 송영주, 박인관, 은연주, 노은정, 이동진, 백광열 2007, 한국항공우주연구원 보고서, INR 시스템의 운용시뮬레이션 및 성능평가 프로그램 개발(III)
2 정택서 2005, 석사학위논문, 연세대학교
3 정택서, 박상영, 이운섭, 주광혁, 양군호 2006, 한국우주과학회지, 23, 29   과학기술학회마을   DOI
4 주광혁, 박영웅, 양군호 2004, 한국항공우주학회 추계학술발표회 논문집, p. 207
5 최성봉 2002, 한국기상학회보, 12(4), 10
6 Jung, T. S., Lee, U. S., Park, S. Y., Choi, Y.-H., Bang, H. C., Ju, G. H., & Yang, K. H. 2006, AIAA/AAS Astrodynamics Specialist Conference and Exhibit, paper 2006-6378
7 Kamel, A. & Bhat, M. 1987, Proceedings of Twenty-First International Symposium on Remote Sensing of the Environment, p.26