Image subpixel estimation by the evaluation of ON satellite sensor model
| dc.cclicence | CC-BY-NC | en |
| dc.contributor.author | Orun, A. | |
| dc.date.acceptance | 2003-11 | |
| dc.date.accessioned | 2022-09-26T13:05:31Z | |
| dc.date.available | 2022-09-26T13:05:31Z | |
| dc.date.issued | 2004-06-14 | |
| dc.description.abstract | Mis-registration of ground control points caused by mixed pixels are the most significant error sources in remote sensing. Even though the effects of these errors on land-cover application have been so far widely investigated, no sufficient attention has been given to their impacts on satellite sensor geometry. In this paper the effect of such errors on sensor model accuracy and the possibility of using orbital epipolarity constrains of Orun & Natarajan (ON) satellite sensor model to avoid such errors are investigated. | en |
| dc.funder | No external funder | en |
| dc.identifier.citation | Orun, A.B., (2003) Image subpixel estimation by the evaluation of ON satellite sensor model. RAST 2003, International Conference on Recent Advance in Space Technologies, Istanbul, November 2003 | en |
| dc.identifier.doi | https://doi.org/10.1109/RAST.2003.1303394 | |
| dc.identifier.isbn | 0-7803-8142-4 | |
| dc.identifier.uri | https://hdl.handle.net/2086/22192 | |
| dc.language.iso | en | en |
| dc.peerreviewed | Yes | en |
| dc.publisher | IEEE | en |
| dc.researchinstitute | Institute of Artificial Intelligence (IAI) | en |
| dc.subject | Satellite sensor model | en |
| dc.subject | image processing | en |
| dc.subject | subpixel | en |
| dc.title | Image subpixel estimation by the evaluation of ON satellite sensor model | en |
| dc.type | Conference | en |