Geometric Correction and Mosaic Generation of Geo High Resolution Camera Images
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 E...
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Zusammenfassung: | 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 the operational
generation of full India mosaics with 100-meter resolution and high geometric
fidelity, enhancing the GHRC capabilities for Earth observation and monitoring
applications. |
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DOI: | 10.48550/arxiv.2410.21307 |