Geostationary satellite full disk image data-based automatic navigation

B. S. Gohil; A. K. Mathur; Abhijit Sarkar; Vijay K. Agarwal

doi:10.1117/12.693557

22 December 2006 Geostationary satellite full disk image data-based automatic navigation

B. S. Gohil, A. K. Mathur, Abhijit Sarkar, Vijay K. Agarwal

Proceedings Volume 6405, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications; 640525 (2006) https://doi.org/10.1117/12.693557
Event: SPIE Asia-Pacific Remote Sensing, 2006, Goa, India

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.

Citation Download Citation

B. S. Gohil, A. K. Mathur, Abhijit Sarkar, and Vijay K. Agarwal "Geostationary satellite full disk image data-based automatic navigation", Proc. SPIE 6405, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications, 640525 (22 December 2006); https://doi.org/10.1117/12.693557

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KEYWORDS

Satellites

Satellite imaging

Earth observing sensors

Satellite navigation systems

Image segmentation

Data conversion

Edge detection

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