Geometric Correction and Mosaic Generation of Geo High Resolution Camera Images
Ankur Garg, Nitesh Thapa, Ghansham Sangar, Neha Gaur, Meenakshi, Sarkar, S. Manthira Moorthi, Debajyoti Dhar

TL;DR
This paper introduces methods for geometric correction and mosaic generation of high-resolution satellite images from ISRO's GHRC, improving accuracy and enabling seamless large-area Earth observation mosaics.
Contribution
It presents a comprehensive geolocation model, calibration procedures, and algorithms for geometric correction, band registration, and large-scale mosaic generation for GHRC imagery.
Findings
Achieved 100-meter resolution mosaics of India with high geometric fidelity.
Improved pointing and location accuracy through in-flight calibration.
Developed algorithms for correcting mosaicing errors and seamless image stitching.
Abstract
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…
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Taxonomy
TopicsSatellite Image Processing and Photogrammetry · Geological Modeling and Analysis · Advanced Image and Video Retrieval Techniques
