A new rigorous model for high-resolution satellite imagery orientation: application to EROS A and QuickBird

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 linearized collinearity equations system in the least square (LS) sense. To test the effectiveness of the new model, SISAR results are compared with the rigorous model implemented in the well-known commercial software OrthoEngine 10.0 (PCI Geomatics, ON, Canada). In this article six images are concerned (two from EROS A and four from QuickBird), showing that SISAR performances are at the level of the OrthoEngine ones