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Geometric Positioning for Satellite Imagery without Ground Control Points by Exploiting Repeated Observation

With the development of space technology and the performance of remote sensors, high-resolution satellites are continuously launched by countries around the world. Due to high efficiency, large coverage and not being limited by the spatial regulation, satellite imagery becomes one of the important m...

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Autores principales: Ma, Zhenling, Wu, Xiaoliang, Yan, Li, Xu, Zhenliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336085/
https://www.ncbi.nlm.nih.gov/pubmed/28134779
http://dx.doi.org/10.3390/s17020240
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author Ma, Zhenling
Wu, Xiaoliang
Yan, Li
Xu, Zhenliang
author_facet Ma, Zhenling
Wu, Xiaoliang
Yan, Li
Xu, Zhenliang
author_sort Ma, Zhenling
collection PubMed
description With the development of space technology and the performance of remote sensors, high-resolution satellites are continuously launched by countries around the world. Due to high efficiency, large coverage and not being limited by the spatial regulation, satellite imagery becomes one of the important means to acquire geospatial information. This paper explores geometric processing using satellite imagery without ground control points (GCPs). The outcome of spatial triangulation is introduced for geo-positioning as repeated observation. Results from combining block adjustment with non-oriented new images indicate the feasibility of geometric positioning with the repeated observation. GCPs are a must when high accuracy is demanded in conventional block adjustment; the accuracy of direct georeferencing with repeated observation without GCPs is superior to conventional forward intersection and even approximate to conventional block adjustment with GCPs. The conclusion is drawn that taking the existing oriented imagery as repeated observation enhances the effective utilization of previous spatial triangulation achievement, which makes the breakthrough for repeated observation to improve accuracy by increasing the base-height ratio and redundant observation. Georeferencing tests using data from multiple sensors and platforms with the repeated observation will be carried out in the follow-up research.
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spelling pubmed-53360852017-03-16 Geometric Positioning for Satellite Imagery without Ground Control Points by Exploiting Repeated Observation Ma, Zhenling Wu, Xiaoliang Yan, Li Xu, Zhenliang Sensors (Basel) Article With the development of space technology and the performance of remote sensors, high-resolution satellites are continuously launched by countries around the world. Due to high efficiency, large coverage and not being limited by the spatial regulation, satellite imagery becomes one of the important means to acquire geospatial information. This paper explores geometric processing using satellite imagery without ground control points (GCPs). The outcome of spatial triangulation is introduced for geo-positioning as repeated observation. Results from combining block adjustment with non-oriented new images indicate the feasibility of geometric positioning with the repeated observation. GCPs are a must when high accuracy is demanded in conventional block adjustment; the accuracy of direct georeferencing with repeated observation without GCPs is superior to conventional forward intersection and even approximate to conventional block adjustment with GCPs. The conclusion is drawn that taking the existing oriented imagery as repeated observation enhances the effective utilization of previous spatial triangulation achievement, which makes the breakthrough for repeated observation to improve accuracy by increasing the base-height ratio and redundant observation. Georeferencing tests using data from multiple sensors and platforms with the repeated observation will be carried out in the follow-up research. MDPI 2017-01-26 /pmc/articles/PMC5336085/ /pubmed/28134779 http://dx.doi.org/10.3390/s17020240 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ma, Zhenling
Wu, Xiaoliang
Yan, Li
Xu, Zhenliang
Geometric Positioning for Satellite Imagery without Ground Control Points by Exploiting Repeated Observation
title Geometric Positioning for Satellite Imagery without Ground Control Points by Exploiting Repeated Observation
title_full Geometric Positioning for Satellite Imagery without Ground Control Points by Exploiting Repeated Observation
title_fullStr Geometric Positioning for Satellite Imagery without Ground Control Points by Exploiting Repeated Observation
title_full_unstemmed Geometric Positioning for Satellite Imagery without Ground Control Points by Exploiting Repeated Observation
title_short Geometric Positioning for Satellite Imagery without Ground Control Points by Exploiting Repeated Observation
title_sort geometric positioning for satellite imagery without ground control points by exploiting repeated observation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336085/
https://www.ncbi.nlm.nih.gov/pubmed/28134779
http://dx.doi.org/10.3390/s17020240
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