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Proceedings Paper

Geostationary satellite full disk image data-based automatic navigation
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Paper Abstract

For any meaningful analysis of geostationary satellite data images, it is necessary to have accurate geographic locations of each pixel which requires accurate information about the satellite altitude, attitude and scanning geometry. Except above, in general, users are provided with the information about the count values of satellite image, sub-satellite point geographic location, image size and scanning direction. Sometimes, the geographic location data is available at coarse interval which is not adequate for the purpose of geophysical parameter retrieval, validation and other applications. The problem is further compounded by data dropouts and garbling affecting the automated detection of earth disk required for deriving geographic locations of the pixels. An automated procedure has been developed to find the geographic locations of the earth view pixels. For the situations with noisy data and attitude errors in roll and pitch but with correct and stable sub-satellite point geographic location, methods have been developed for space view noise rejection, earth disk detection, proper overlaying of continental boundaries and finally for determining geographic locations of desired pixels. These procedures, except the yaw attitude error, automatically correct other attitude errors for each image. The basic assumption made here is that the sub-satellite point location is correct and stable. The method is useful in the absence of any information except the image specifications. Examples of INSAT and METEOSAT images will be presented.

Paper Details

Date Published: 22 December 2006
PDF: 10 pages
Proc. SPIE 6405, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications, 640525 (22 December 2006);
Show Author Affiliations
B. S. Gohil, ISRO Space Applications Ctr. (India)
A. K. Mathur, ISRO Space Applications Ctr. (India)
Abhijit Sarkar, ISRO Space Applications Ctr. (India)
Vijay K. Agarwal, ISRO Space Applications Ctr. (India)

Published in SPIE Proceedings Vol. 6405:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications
William L. Smith Sr.; Allen M. Larar; Tadao Aoki; Ram Rattan, Editor(s)

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