An image registration approach for accurate satellite attitude estimation

Ludovico Carozza, Alessandro Bevilacqua, Alessandro Gherardi

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

4 Citations (Scopus)

Abstract

Satellites are controlled by an autonomous guidance system that corrects in real time their attitude according to information coming from ensemble of sensors and star trackers. The latter estimate the attitude by continuously comparing acquired image of the sky with a star atlas stored on board. Beside being expensive, star trackers undergo the problem of Sun and Moon blinding, thus requiring to work jointly with other sensors. The novel vision based system we are investigating is stand alone and based on an earth image registration approach, where the attitude is computed by recovering the geometric relation between couple of subsequent frames. This results in a very effective stand alone attitude estimation system. Also, the experiments carried out on images sampled by a satellite image database prove the high accuracy of the image registration approach for attitude estimation, consistent with application requirements.
Original languageEnglish
Title of host publicationAdvances in Visual Computing
Subtitle of host publication5th International Symposium, ISVC 2009, Las Vegas, NV, USA, November 30-December 2, 2009. Proceedings, Part II
PublisherSpringer
Pages827-836
Number of pages10
Volume5876
ISBN (Electronic)978-3-642-10520-3
ISBN (Print)978-3-642-10519-7
DOIs
Publication statusPublished - 2009
Event5th International Symposium on Visual Computing - Las Vegas, United States
Duration: 30 Nov 20092 Dec 2009

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume5876
ISSN (Print)0302-9743

Conference

Conference5th International Symposium on Visual Computing
Abbreviated titleISVC09
CountryUnited States
CityLas Vegas
Period30/11/092/12/09

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