INTERIOR ORIENTATION ERROR MODELLING AND CORRECTION FOR PRECISE GEOREFERENCING OF SATELLITE IMAGERY

To exploit full metric quality of optical satellite imagery, precise georeferencing is necessary. A number of sensor orientation models designed to exploit the full metric potential of images have been developed over the past decades. In particular, generic models attract more interest as they take...
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Autor*in:	C. Zhang [verfasserIn] C. S. Fraser [verfasserIn] S. Liu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2012

Übergeordnetes Werk:	In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - Copernicus Publications, 2015, (2012), Seite 285-290
Übergeordnetes Werk:	year:2012 ; pages:285-290

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.5194/isprsarchives-XXXIX-B1-285-2012

Katalog-ID:	DOAJ059361379

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callnumber-first	T - Technology
author	C. Zhang
spellingShingle	C. Zhang misc TA1-2040 misc TA1501-1820 misc Technology misc T misc Engineering (General). Civil engineering (General) misc Applied optics. Photonics INTERIOR ORIENTATION ERROR MODELLING AND CORRECTION FOR PRECISE GEOREFERENCING OF SATELLITE IMAGERY
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title	INTERIOR ORIENTATION ERROR MODELLING AND CORRECTION FOR PRECISE GEOREFERENCING OF SATELLITE IMAGERY
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title_auth	INTERIOR ORIENTATION ERROR MODELLING AND CORRECTION FOR PRECISE GEOREFERENCING OF SATELLITE IMAGERY
abstract	To exploit full metric quality of optical satellite imagery, precise georeferencing is necessary. A number of sensor orientation models designed to exploit the full metric potential of images have been developed over the past decades. In particular, generic models attract more interest as they take full account of the physical imaging process by adopting time dependant satellite orbit models and interior orientation (IO) information provided by the satellite imagery vendors. The quality of IO parameters varies for different satellites and has significant impact on the georeferencing performance. Self-calibration approaches have been developed, however such approaches require a significant amount of ground control with good point distribution. In addition, the results are not always stable due to the correlation between the model parameters. In this paper, a simple yet efficient method has been proposed to correct the IO errors by detailed examination and efficient modelling of the IO error distribution in the focal plane. The proposed correction method, used in conjunction with a generic sensor model, significantly improves the metric performance of satellite images, leading to sub-pixel georeferencing accuracy.
abstractGer	To exploit full metric quality of optical satellite imagery, precise georeferencing is necessary. A number of sensor orientation models designed to exploit the full metric potential of images have been developed over the past decades. In particular, generic models attract more interest as they take full account of the physical imaging process by adopting time dependant satellite orbit models and interior orientation (IO) information provided by the satellite imagery vendors. The quality of IO parameters varies for different satellites and has significant impact on the georeferencing performance. Self-calibration approaches have been developed, however such approaches require a significant amount of ground control with good point distribution. In addition, the results are not always stable due to the correlation between the model parameters. In this paper, a simple yet efficient method has been proposed to correct the IO errors by detailed examination and efficient modelling of the IO error distribution in the focal plane. The proposed correction method, used in conjunction with a generic sensor model, significantly improves the metric performance of satellite images, leading to sub-pixel georeferencing accuracy.
abstract_unstemmed	To exploit full metric quality of optical satellite imagery, precise georeferencing is necessary. A number of sensor orientation models designed to exploit the full metric potential of images have been developed over the past decades. In particular, generic models attract more interest as they take full account of the physical imaging process by adopting time dependant satellite orbit models and interior orientation (IO) information provided by the satellite imagery vendors. The quality of IO parameters varies for different satellites and has significant impact on the georeferencing performance. Self-calibration approaches have been developed, however such approaches require a significant amount of ground control with good point distribution. In addition, the results are not always stable due to the correlation between the model parameters. In this paper, a simple yet efficient method has been proposed to correct the IO errors by detailed examination and efficient modelling of the IO error distribution in the focal plane. The proposed correction method, used in conjunction with a generic sensor model, significantly improves the metric performance of satellite images, leading to sub-pixel georeferencing accuracy.
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title_short	INTERIOR ORIENTATION ERROR MODELLING AND CORRECTION FOR PRECISE GEOREFERENCING OF SATELLITE IMAGERY
url	https://doi.org/10.5194/isprsarchives-XXXIX-B1-285-2012 https://doaj.org/article/da09c915cec1436298c4498c331fb867 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B1/285/2012/isprsarchives-XXXIX-B1-285-2012.pdf https://doaj.org/toc/1682-1750 https://doaj.org/toc/2194-9034
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