GEOMETRIC AND RADIOMETRIC EVALUATION OF RASAT IMAGES
RASAT, the second remote sensing satellite of Turkey, was designed and assembled, and also is being operated by TÜBİTAK Uzay (Space) Technologies Research Institute (Ankara). RASAT images in various levels are available free-of-charge via Gezgin portal for Turkish citizens. In this paper, the images...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2016-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/287/2016/isprs-archives-XLI-B1-287-2016.pdf |
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| author | A. Cam H. Topan M. Oruç M. Özendi Ç. Bayık |
| author_facet | A. Cam H. Topan M. Oruç M. Özendi Ç. Bayık |
| author_sort | A. Cam |
| collection | DOAJ |
| description | RASAT, the second remote sensing satellite of Turkey, was designed and assembled, and also is being operated by TÜBİTAK Uzay (Space) Technologies Research Institute (Ankara). RASAT images in various levels are available free-of-charge via Gezgin portal for Turkish citizens. In this paper, the images in panchromatic (7.5 m GSD) and RGB (15 m GSD) bands in various levels were investigated with respect to its geometric and radiometric characteristics. The first geometric analysis is the estimation of the effective GSD as less than 1 pixel for radiometrically processed level (L1R) of both panchromatic and RGB images. Secondly, 2D georeferencing accuracy is estimated by various non-physical transformation models (similarity, 2D affine, polynomial, affine projection, projective, DLT and GCP based RFM) reaching sub-pixel accuracy using minimum 39 and maximum 52 GCPs. The radiometric characteristics are also investigated for 8 bits, estimating SNR between 21.8-42.2, and noise 0.0-3.5 for panchromatic and MS images for L1R when the sea is masked to obtain the results for land areas. The analysis show that RASAT images satisfies requirements for various applications. The research is carried out in Zonguldak test site which is mountainous and partly covered by dense forest and urban areas. |
| first_indexed | 2024-12-11T09:01:57Z |
| format | Article |
| id | doaj.art-671dc4d981274451985d003ba0da9809 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-11T09:01:57Z |
| publishDate | 2016-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-671dc4d981274451985d003ba0da98092022-12-22T01:13:44ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B128729010.5194/isprs-archives-XLI-B1-287-2016GEOMETRIC AND RADIOMETRIC EVALUATION OF RASAT IMAGESA. Cam0H. Topan1M. Oruç2M. Özendi3Ç. Bayık4BEU, Engineering Faculty, Department of Geomatics Engineering, 67100, Zonguldak, TurkeyBEU, Engineering Faculty, Department of Geomatics Engineering, 67100, Zonguldak, TurkeyBEU, Engineering Faculty, Department of Geomatics Engineering, 67100, Zonguldak, TurkeyBEU, Engineering Faculty, Department of Geomatics Engineering, 67100, Zonguldak, TurkeyBEU, Engineering Faculty, Department of Geomatics Engineering, 67100, Zonguldak, TurkeyRASAT, the second remote sensing satellite of Turkey, was designed and assembled, and also is being operated by TÜBİTAK Uzay (Space) Technologies Research Institute (Ankara). RASAT images in various levels are available free-of-charge via Gezgin portal for Turkish citizens. In this paper, the images in panchromatic (7.5 m GSD) and RGB (15 m GSD) bands in various levels were investigated with respect to its geometric and radiometric characteristics. The first geometric analysis is the estimation of the effective GSD as less than 1 pixel for radiometrically processed level (L1R) of both panchromatic and RGB images. Secondly, 2D georeferencing accuracy is estimated by various non-physical transformation models (similarity, 2D affine, polynomial, affine projection, projective, DLT and GCP based RFM) reaching sub-pixel accuracy using minimum 39 and maximum 52 GCPs. The radiometric characteristics are also investigated for 8 bits, estimating SNR between 21.8-42.2, and noise 0.0-3.5 for panchromatic and MS images for L1R when the sea is masked to obtain the results for land areas. The analysis show that RASAT images satisfies requirements for various applications. The research is carried out in Zonguldak test site which is mountainous and partly covered by dense forest and urban areas.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/287/2016/isprs-archives-XLI-B1-287-2016.pdf |
| spellingShingle | A. Cam H. Topan M. Oruç M. Özendi Ç. Bayık GEOMETRIC AND RADIOMETRIC EVALUATION OF RASAT IMAGES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | GEOMETRIC AND RADIOMETRIC EVALUATION OF RASAT IMAGES |
| title_full | GEOMETRIC AND RADIOMETRIC EVALUATION OF RASAT IMAGES |
| title_fullStr | GEOMETRIC AND RADIOMETRIC EVALUATION OF RASAT IMAGES |
| title_full_unstemmed | GEOMETRIC AND RADIOMETRIC EVALUATION OF RASAT IMAGES |
| title_short | GEOMETRIC AND RADIOMETRIC EVALUATION OF RASAT IMAGES |
| title_sort | geometric and radiometric evaluation of rasat images |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/287/2016/isprs-archives-XLI-B1-287-2016.pdf |
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