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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creator | Garg, Ankur Thapa, Nitesh Sangar, Ghansham Gaur, Neha Sarkar, Meenakshi Moorthi, S. Manthira Dhar, Debajyoti |
description | 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. |
doi_str_mv | 10.48550/arxiv.2410.21307 |
format | Article |
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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.</description><identifier>DOI: 10.48550/arxiv.2410.21307</identifier><language>eng</language><creationdate>2024-10</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,777,882</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2410.21307$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2410.21307$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Garg, Ankur</creatorcontrib><creatorcontrib>Thapa, Nitesh</creatorcontrib><creatorcontrib>Sangar, Ghansham</creatorcontrib><creatorcontrib>Gaur, Neha</creatorcontrib><creatorcontrib>Sarkar, Meenakshi</creatorcontrib><creatorcontrib>Moorthi, S. Manthira</creatorcontrib><creatorcontrib>Dhar, Debajyoti</creatorcontrib><title>Geometric Correction and Mosaic Generation of Geo High Resolution Camera Images</title><description>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
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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.</abstract><doi>10.48550/arxiv.2410.21307</doi><oa>free_for_read</oa></addata></record> |
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title | Geometric Correction and Mosaic Generation of Geo High Resolution Camera Images |
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