DocumentCode :
1877825
Title :
Estimating geometrical transform parameters for affine-transform-base geometrical corrections
Author :
Saito, Hiroyuki
Author_Institution :
Graduate School of Science and Technology, Hirosaki University, Japan
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
582
Lastpage :
585
Abstract :
The geometrical transform parameters included in the ancillary file of the system-corrected Landsat TM image, such as a translation, a rotation angle and a scaling, may contain errors. Therefore, it sometimes occurs that the orthoimage obtained by the affine transform is not desirable. In order to overcome this problem, Iikura proposed the method that orthorectifies the satellite image with digital elevation model (DEM) and optimizes the translation with the DEM shaded relief image. His method had practical appeal, but the correction of the rotation angle and scaling were not considered. In this paper, we describe the method to optimize not only the translation but also the rotation angle and scaling using the Fourier-Mellin transform and the Fourier phase-only-correlation (POC) technique. When applied to system-corrected Landsat TM images, the result shows that the parameters obtained by the new method were more accurate than either the original or the re vised parameters contributed by JAXA.
Keywords :
Fourier transforms; affine transforms; artificial satellites; digital elevation models; geophysical image processing; DEM shaded relief image; Fourier phase-only-correlation technique; Fourier-Mellin transform; JAXA; affine-transform-base geometrical correction; ancillary file; digital elevation model; geometrical transform parameter; rotation angle; satellite image; system-corrected Landsat TM image; Accuracy; Earth; Estimation; Remote sensing; Satellites; Spatial resolution; Transforms; Digital elevation model (DEM); Fourier phase-only-correlation (POC); Fourier-Mellin transform; Geometrical correction; Landsat TM image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6049195
Filename :
6049195
Link To Document :
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