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Geometric Correction and Mosaic Generation of Geo High Resolution Camera Images by Garg, Ankur; Thapa, Nitesh; Sangar, Ghansham; Gaur, Neha; Sarkar, Meenakshi; Moorthi, S. Manthira; Dhar, Debajyoti is a scholarly article available to read on EtoBox.

What is Geometric Correction and Mosaic Generation of Geo High Resolution Camera Images about?

The Geo High Resolution Camera (GHRC) aboard ISRO GSAT-29 satellite is a state-of-the-art 6-band Visible and Near Infrared (VNIR) imager in geostationary orbit at 55degE longitude. It provides a ground sampling distance of 55 meters at nadir, covering 110x110 km at a time, and can image the entire Earth disk using a scan mirror mechanism. To cover India, GHRC uses a two-dimensional raster scanning technique, resulting in over 1,000 scenes that must be stitched into a seamless mosaic. This paper presents the geolocation model and examines potential sources of targeting error, with an assessment of location accuracy. Challenges in inter-band registration and inter-frame mosaicing are addressed through algorithms for geometric correction, band-to-band registration, and seamless mosaic generation. In-flight geometric calibration, including adjustments to the instrument interior alignment angles using ground reference images, has improved pointing and location accuracy. A backtracking algorithm has been developed to correct frame-to-frame mosaicing errors for large-scale mosaics, leveraging geometric models, image processing, and space resection techniques. These advancements now enable

Author

Garg, Ankur; Thapa, Nitesh; Sangar, Ghansham; Gaur, Neha; Sarkar, Meenakshi; Moorthi, S. Manthira; Dhar, Debajyoti

Published

2024

Language

EN