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The launch of KALPANA-1 satellite in the year 2002 heralded the establishmentof an indigenous operational payload for meteorological predictions. This wasfurther enhanced in the year 2003 with the launching of INSAT-3A satellite. Thesoftware for generating products from the data of these two satellites wastaken up subsequently in the year 2004 and the same was installed at the IndianMeteorological Department, New Delhi in January 2006. Registration has been oneof the most fundamental operations to generate almost all the data productsfrom the remotely sensed data. Registration is a challenging task due toinevitable radiometric and geometric distortions during the acquisitionprocess. Besides the presence of clouds makes the problem more complicated. Inthis paper, we present an algorithm for multitemporal and multibandregistration. In addition, India facing reference boundaries for the CCD dataof INSAT-3A have also been generated. The complete implementation is made up ofthe following steps: 1) automatic identification of the ground control points(GCPs) in the sensed data, 2) finding the optimal transformation model based onthe match-points, and 3) resampling the transformed imagery to the referencecoordinates. The proposed algorithm is demonstrated using the real datasetsfrom KALPANA-1 and INSAT-3A. Both KALAPANA-1 and INSAT-3A have recently beendecommissioned due to lack of fuel, however, the experience gained from themhave given rise to a series of meteorological satellites and associatedsoftware; like INSAT-3D series which give continuous weather forecasting forthe country. This paper is not so much focused on the theory (widely availablein the literature) but concentrates on the implementation of operationalsoftware.

Automatic Data Registration of Geostationary Payloads for Meteorological Applications at ISRO