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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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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. |
format | Online Article Text |
id | pubmed-5336085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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