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An Automated System for Real Time Generation of Bispectral Hybrid Imageries

Satish R. Kulkarni, C.G. Patil, A.M. Khan

Abstract


Satellite imageries are the indispensable source of information for weather prediction. The image data from weather satellites is acquired in real time, but the preprocessing, information retrieval, and image products generation are generally implemented as offline activities to be carried out by the human experts. This work aims at generation of ready to use image products in real time. A Look-Up-Table (LUT) based method has been developed for encoding the processed information into the image. This paper describes the methodology employed to generate the Conventional Image Products in general and the Bispectral Hybrid Image Products in particular. On trial basis this method is being used in the automated system which is operational at Master Control Facility-Hassan, India to generate real-time, ready to use image products embedded with processed information. The resulting image is compared with the EUMETSAT (European Meteorological Satellite) image. The images taken by the spacecrafts, for the same day and same time were compared and it is found that there is a good agreement in the temperature ranges of the features represented in both the images.

Keywords


Automated System, Bispectral Hybrid Imagery, Image Representation, Weather Nowcasting and Look-Up-Table.

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References


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