A new rigorous model for high-resolution satellite imagery orientation: application to EROS A and QuickBird
| Autor: | Francesca Fratarcangeli, Mattia Crespi, Francesca Giannone, Francesca Pieralice |
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| Rok vydání: | 2011 |
| Předmět: |
Computer science
business.industry Orientation (computer vision) QR decomposition Collinearity equation Feature (computer vision) Singular value decomposition General Earth and Planetary Sciences Computer vision Satellite imagery Artificial intelligence business Focus (optics) Digital elevation model Remote sensing |
| Zdroj: | International Journal of Remote Sensing. 33:2321-2354 |
| ISSN: | 1366-5901 0143-1161 |
| DOI: | 10.1080/01431161.2011.608737 |
| Popis: | The correct georeferencing of remote sensing imagery is a fundamental task for orthoimages, digital elevation models (DEMs)/digital surface models (DSMs) generation and 3D feature/object extraction. In this article we focus on the georeferencing of pushbroom sensors imagery, in particular single images collected by EROS A and QuickBird satellites, with a rigorous model that is based on the collinearity equations. The model, implemented in the software SISAR (Software per Immagini Satellitari ad Alta Risoluzione), reconstructs the orbital segment during image acquisition through the Keplerian orbital parameters, the sensor attitude, the internal orientation and additional self-calibration parameters. With respect to the estimation procedure, in order to avoid possible instabilities due to high correlations among some parameters leading to design matrix pseudo-singularity, singular value decomposition (SVD) and QR decomposition are used to select the estimable parameters and finally to solve the extended li... |
| Databáze: | OpenAIRE |
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