ESTIMATING EXTERIOR ORIENTATION PARAMETERS OF HYPERSPECTRAL BANDS BASED ON POLYNOMIAL MODELS
Hyperspectral camera operating in sequential acquisition mode produces spectral bands that are not recorded at the same instant, thus having different exterior orientation parameters (EOPs) for each band. The study presents experiments on bundle adjustment with time-dependent polynomial models for b...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2017-10-01
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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/XLII-3-W3/19/2017/isprs-archives-XLII-3-W3-19-2017.pdf |
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| author | A. Berveglieri A. M. G. Tommaselli E. Honkavaara |
| author_facet | A. Berveglieri A. M. G. Tommaselli E. Honkavaara |
| author_sort | A. Berveglieri |
| collection | DOAJ |
| description | Hyperspectral camera operating in sequential acquisition mode produces spectral bands that are not recorded at the same instant, thus having different exterior orientation parameters (EOPs) for each band. The study presents experiments on bundle adjustment with time-dependent polynomial models for band orientation of hyperspectral cubes sequentially collected. The technique was applied to a Rikola camera model. The purpose was to investigate the behaviour of the estimated polynomial parameters and the feasibility of using a minimum of bands to estimate EOPs. Simulated and real data were produced for the analysis of parameters and accuracy in ground points. The tests considered conventional bundle adjustment and the polynomial models. The results showed that both techniques were comparable, indicating that the time-dependent polynomial model can be used to estimate the EOPs of all spectral bands, without requiring a bundle adjustment of each band. The accuracy of the block adjustment was analysed based on the discrepancy obtained from checkpoints. The root mean square error (RMSE) indicated an accuracy of 1 GSD in planimetry and 1.5 GSD in altimetry, when using a minimum of four bands per cube. |
| first_indexed | 2024-04-13T10:37:44Z |
| format | Article |
| id | doaj.art-0856c4c535a9454dbd5a81023e83861a |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-13T10:37:44Z |
| publishDate | 2017-10-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-0856c4c535a9454dbd5a81023e83861a2022-12-22T02:50:01ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-10-01XLII-3-W3192510.5194/isprs-archives-XLII-3-W3-19-2017ESTIMATING EXTERIOR ORIENTATION PARAMETERS OF HYPERSPECTRAL BANDS BASED ON POLYNOMIAL MODELSA. Berveglieri0A. M. G. Tommaselli1E. Honkavaara2UNESP, São Paulo State University, Dept. of Cartography, 19060-900 Presidente Prudente – São Paulo, BrazilUNESP, São Paulo State University, Dept. of Cartography, 19060-900 Presidente Prudente – São Paulo, BrazilFinnish Geospatial Research Institute FGI, Kirkkonummi, FinlandHyperspectral camera operating in sequential acquisition mode produces spectral bands that are not recorded at the same instant, thus having different exterior orientation parameters (EOPs) for each band. The study presents experiments on bundle adjustment with time-dependent polynomial models for band orientation of hyperspectral cubes sequentially collected. The technique was applied to a Rikola camera model. The purpose was to investigate the behaviour of the estimated polynomial parameters and the feasibility of using a minimum of bands to estimate EOPs. Simulated and real data were produced for the analysis of parameters and accuracy in ground points. The tests considered conventional bundle adjustment and the polynomial models. The results showed that both techniques were comparable, indicating that the time-dependent polynomial model can be used to estimate the EOPs of all spectral bands, without requiring a bundle adjustment of each band. The accuracy of the block adjustment was analysed based on the discrepancy obtained from checkpoints. The root mean square error (RMSE) indicated an accuracy of 1 GSD in planimetry and 1.5 GSD in altimetry, when using a minimum of four bands per cube.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W3/19/2017/isprs-archives-XLII-3-W3-19-2017.pdf |
| spellingShingle | A. Berveglieri A. M. G. Tommaselli E. Honkavaara ESTIMATING EXTERIOR ORIENTATION PARAMETERS OF HYPERSPECTRAL BANDS BASED ON POLYNOMIAL MODELS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | ESTIMATING EXTERIOR ORIENTATION PARAMETERS OF HYPERSPECTRAL BANDS BASED ON POLYNOMIAL MODELS |
| title_full | ESTIMATING EXTERIOR ORIENTATION PARAMETERS OF HYPERSPECTRAL BANDS BASED ON POLYNOMIAL MODELS |
| title_fullStr | ESTIMATING EXTERIOR ORIENTATION PARAMETERS OF HYPERSPECTRAL BANDS BASED ON POLYNOMIAL MODELS |
| title_full_unstemmed | ESTIMATING EXTERIOR ORIENTATION PARAMETERS OF HYPERSPECTRAL BANDS BASED ON POLYNOMIAL MODELS |
| title_short | ESTIMATING EXTERIOR ORIENTATION PARAMETERS OF HYPERSPECTRAL BANDS BASED ON POLYNOMIAL MODELS |
| title_sort | estimating exterior orientation parameters of hyperspectral bands based on polynomial models |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W3/19/2017/isprs-archives-XLII-3-W3-19-2017.pdf |
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