Investigation of 3D Polynomial Model for the Geometric Correction of GeoEye Imagery

GeoEye satellite has provided the world with high spatial resolution 0.50 meter panchromatic images. Not only the high spatial resolution, but also the high spectral, radiometric and temporal resolutions of GeoEye imagery make it ideally suited for mapping applications. Currently, the empirical sens...

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Main Authors: Samah Abo Ramadan, Hafez Afify, Sobhy Abdelmonam
Format: Article
Language:Arabic
Published: Faculty of Engineering, Tanta University 2018-12-01
Series:Journal of Engineering Research - Egypt
Subjects:
Online Access:https://erjeng.journals.ekb.eg/article_126016_8ad092ac22cf29a7a0a9045fc682c430.pdf
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author Samah Abo Ramadan
Hafez Afify
Sobhy Abdelmonam
author_facet Samah Abo Ramadan
Hafez Afify
Sobhy Abdelmonam
author_sort Samah Abo Ramadan
collection DOAJ
description GeoEye satellite has provided the world with high spatial resolution 0.50 meter panchromatic images. Not only the high spatial resolution, but also the high spectral, radiometric and temporal resolutions of GeoEye imagery make it ideally suited for mapping applications. Currently, the empirical sensor models are traditionally employed, instead of the physical models, to establish the mathematical relationships between the image space and the ground space. In this study, the geometric accuracy of pan GeoEye images was determined using three dimensional (3D) polynomial model. The obtained planimetric accuracy was compared to that obtained using the rational function model (RFM). The implementation of the 3D polynomial model (PM) experiments was performed using only the new standalone software EMAN, since the 3D PMs are not available in other software packages such as ERDAS imagine or PCI from Geomatica. However, both EMAN and PCI software were used to carry out the experiments for the RFMs. A GeoEye panchromatic image covering the city of Tanta, El Gharbiya, Egypt was used in this study. The results revealed that the 3D polynomial models have the capability for geometrically correcting GeoEye images since it provides competitive geometric accuracies, compared to those obtained using 3D RFMs.
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language Arabic
publishDate 2018-12-01
publisher Faculty of Engineering, Tanta University
record_format Article
series Journal of Engineering Research - Egypt
spelling doaj-art-b331cbcbbb2244e3833dc3c8653e581c2025-08-20T02:23:40ZaraFaculty of Engineering, Tanta UniversityJournal of Engineering Research - Egypt2356-94412735-48732018-12-012December374310.21608/erjeng.2018.126016126016Investigation of 3D Polynomial Model for the Geometric Correction of GeoEye ImagerySamah Abo Ramadan0Hafez Afify1Sobhy Abdelmonam2Department of Public Work Engineering, Faculty of Engineering, Tanta University, EgyptProfessor of Public Works Engineering, Faculty of Engineering, Tanta University, EgyptDepartment of Public Work Engineering, Faculty of Engineering, Tanta University, EgyptGeoEye satellite has provided the world with high spatial resolution 0.50 meter panchromatic images. Not only the high spatial resolution, but also the high spectral, radiometric and temporal resolutions of GeoEye imagery make it ideally suited for mapping applications. Currently, the empirical sensor models are traditionally employed, instead of the physical models, to establish the mathematical relationships between the image space and the ground space. In this study, the geometric accuracy of pan GeoEye images was determined using three dimensional (3D) polynomial model. The obtained planimetric accuracy was compared to that obtained using the rational function model (RFM). The implementation of the 3D polynomial model (PM) experiments was performed using only the new standalone software EMAN, since the 3D PMs are not available in other software packages such as ERDAS imagine or PCI from Geomatica. However, both EMAN and PCI software were used to carry out the experiments for the RFMs. A GeoEye panchromatic image covering the city of Tanta, El Gharbiya, Egypt was used in this study. The results revealed that the 3D polynomial models have the capability for geometrically correcting GeoEye images since it provides competitive geometric accuracies, compared to those obtained using 3D RFMs.https://erjeng.journals.ekb.eg/article_126016_8ad092ac22cf29a7a0a9045fc682c430.pdfterms—high-resolution imagerygeometric accuracygeoeye panchromatic imagesrational function modelpolynomial modelorthoimages
spellingShingle Samah Abo Ramadan
Hafez Afify
Sobhy Abdelmonam
Investigation of 3D Polynomial Model for the Geometric Correction of GeoEye Imagery
Journal of Engineering Research - Egypt
terms—high-resolution imagery
geometric accuracy
geoeye panchromatic images
rational function model
polynomial model
orthoimages
title Investigation of 3D Polynomial Model for the Geometric Correction of GeoEye Imagery
title_full Investigation of 3D Polynomial Model for the Geometric Correction of GeoEye Imagery
title_fullStr Investigation of 3D Polynomial Model for the Geometric Correction of GeoEye Imagery
title_full_unstemmed Investigation of 3D Polynomial Model for the Geometric Correction of GeoEye Imagery
title_short Investigation of 3D Polynomial Model for the Geometric Correction of GeoEye Imagery
title_sort investigation of 3d polynomial model for the geometric correction of geoeye imagery
topic terms—high-resolution imagery
geometric accuracy
geoeye panchromatic images
rational function model
polynomial model
orthoimages
url https://erjeng.journals.ekb.eg/article_126016_8ad092ac22cf29a7a0a9045fc682c430.pdf
work_keys_str_mv AT samahaboramadan investigationof3dpolynomialmodelforthegeometriccorrectionofgeoeyeimagery
AT hafezafify investigationof3dpolynomialmodelforthegeometriccorrectionofgeoeyeimagery
AT sobhyabdelmonam investigationof3dpolynomialmodelforthegeometriccorrectionofgeoeyeimagery