A New Method for Positional Accuracy Analysis in Georeferenced Satellite Images without Independent Ground Control Points
This paper introduces a new method to analyze the positional accuracy of georeferenced satellite images without the use of ground control points. Compared to the traditional method used to carry out this kind of analysis, our approach provides a semiautomatic way to obtain a larger number of control...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/24/4132 |
| _version_ | 1797544372630192128 |
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| author | Miguel Sánchez Aurora Cuartero Manuel Barrena Antonio Plaza |
| author_facet | Miguel Sánchez Aurora Cuartero Manuel Barrena Antonio Plaza |
| author_sort | Miguel Sánchez |
| collection | DOAJ |
| description | This paper introduces a new method to analyze the positional accuracy of georeferenced satellite images without the use of ground control points. Compared to the traditional method used to carry out this kind of analysis, our approach provides a semiautomatic way to obtain a larger number of control points that satisfy the requirements of current standards regarding the size of the set of sample points, the positional accuracy of such points, the distance between points, and the distribution of points in the sample. Our methodology exploits high quality orthoimages, such as those provided by the Aerial Orthography National Plan (PNOA)—developed by the Spanish National Geographic Institute—and has been tested on spatial data from Landsat 8. Our method works under the current international standard (ASPRS 2014) and exhibits similar performance than other well-known methods to analyze the positional accuracy of georeferenced images based on the use of independent ground control points. More specifically, the positional accuracy achieved for a Landsat 8 dataset evaluated by the traditional method is 5.22 ± 1.95 m, and when evaluated with the proposed method, it exhibits a typical accuracy of 5.76 ± 0.50 m. Our experimental results confirm that the method is equally effective and less expensive than other available methods to analyze the positional accuracy of satellite images. |
| first_indexed | 2024-03-10T13:59:32Z |
| format | Article |
| id | doaj.art-dd77f30b59ad43458757aff0f78dfd2a |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T13:59:32Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-dd77f30b59ad43458757aff0f78dfd2a2023-11-21T01:19:04ZengMDPI AGRemote Sensing2072-42922020-12-011224413210.3390/rs12244132A New Method for Positional Accuracy Analysis in Georeferenced Satellite Images without Independent Ground Control PointsMiguel Sánchez0Aurora Cuartero1Manuel Barrena2Antonio Plaza3Department of Computer Systems Engineering and Telematics, Polytechnic School, University of Extremadura, 10071 Cáceres, SpainDepartment of Graphic Expression, Polytechnic School, University of Extremadura, 10071 Cáceres, SpainDepartment of Computer Systems Engineering and Telematics, Polytechnic School, University of Extremadura, 10071 Cáceres, SpainDepartment of Technology of Computers and Communications, Polytechnic School, University of Extremadura, 10071 Cáceres, SpainThis paper introduces a new method to analyze the positional accuracy of georeferenced satellite images without the use of ground control points. Compared to the traditional method used to carry out this kind of analysis, our approach provides a semiautomatic way to obtain a larger number of control points that satisfy the requirements of current standards regarding the size of the set of sample points, the positional accuracy of such points, the distance between points, and the distribution of points in the sample. Our methodology exploits high quality orthoimages, such as those provided by the Aerial Orthography National Plan (PNOA)—developed by the Spanish National Geographic Institute—and has been tested on spatial data from Landsat 8. Our method works under the current international standard (ASPRS 2014) and exhibits similar performance than other well-known methods to analyze the positional accuracy of georeferenced images based on the use of independent ground control points. More specifically, the positional accuracy achieved for a Landsat 8 dataset evaluated by the traditional method is 5.22 ± 1.95 m, and when evaluated with the proposed method, it exhibits a typical accuracy of 5.76 ± 0.50 m. Our experimental results confirm that the method is equally effective and less expensive than other available methods to analyze the positional accuracy of satellite images.https://www.mdpi.com/2072-4292/12/24/4132ortho-rectified satellite imagesindependent control pointsindependent ground control pointspositional accuracy |
| spellingShingle | Miguel Sánchez Aurora Cuartero Manuel Barrena Antonio Plaza A New Method for Positional Accuracy Analysis in Georeferenced Satellite Images without Independent Ground Control Points Remote Sensing ortho-rectified satellite images independent control points independent ground control points positional accuracy |
| title | A New Method for Positional Accuracy Analysis in Georeferenced Satellite Images without Independent Ground Control Points |
| title_full | A New Method for Positional Accuracy Analysis in Georeferenced Satellite Images without Independent Ground Control Points |
| title_fullStr | A New Method for Positional Accuracy Analysis in Georeferenced Satellite Images without Independent Ground Control Points |
| title_full_unstemmed | A New Method for Positional Accuracy Analysis in Georeferenced Satellite Images without Independent Ground Control Points |
| title_short | A New Method for Positional Accuracy Analysis in Georeferenced Satellite Images without Independent Ground Control Points |
| title_sort | new method for positional accuracy analysis in georeferenced satellite images without independent ground control points |
| topic | ortho-rectified satellite images independent control points independent ground control points positional accuracy |
| url | https://www.mdpi.com/2072-4292/12/24/4132 |
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