Paper Info
Title
Estimation of satellite pitch attitude from aster image data
Abstract
In this study, we demonstrate an automatic methodology for estimating the satellite pitch vibration by using information of sensors with small parallax and correcting the images taken by the sensors themselves. Consequently, We can get corrected digital elevation model (DEM) from the images disturbed by satellite pitch vibration.A satellite often vibrates in roll and pitch directions, and each component has a bad influence on photogrammetry. Since the pitch component directly deteriorates the accuracy of DEM in case of along-track stereo sensor, we focus on estimating and correcting pitch vibration. Our methodology is particularly useful for small parallax stereo system, because sub-pixel image matching precision is needed for small parallax stereo system and satellite vibration causes a critical problem.
Year
DOI
Venue
2010
10.1109/IGARSS.2010.5649174
IGARSS
Keywords
Field
DocType
artificial satellites,attitude measurement,digital elevation models,image matching,photogrammetry,stereo image processing,ASTER image data,advanced spaceborne thermal emission and reflection radiometer,along-track stereo sensor,digital elevation model,photogrammetry,satellite pitch attitude estimation,satellite pitch vibration,satellite vibration,sensor information,small parallax stereo system,sub-pixel image matching precision,bundle adjustment,digital elevation model (DEM),feature matching,photogrammetry,small parallax stereo
Computer vision,Aster (genus),Photogrammetry,Satellite,Parallax,Bundle adjustment,Computer science,Remote sensing,Digital elevation model,Artificial intelligence,Vibration,Advanced Spaceborne Thermal Emission and Reflection Radiometer
Conference
ISSN
Citations 
PageRank 
2153-6996
2
0.45
References 
Authors
4
2
Name
Order
Citations
PageRank
Tetsuya Okuda130.92
akira iwasaki219316.71