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PASS PROCESSING AND EXTRAPOLATION OF SPOT IMAGE GEOMETRY
A mathematical model for pass processing of SPOT imagery is formulated. It is based on the fact that during one pass, the image data stream from each of the instruments in SPOT forms one single very long image. The geometry of this extended image can thus be rectified with as few control points as for only one scene if orbital constraints and attitude measurements are properly taken into consideration. SPOT imagery is, however, not available as this single long image, but only sectioned into scenes. This creates problems which are accounted for in the solution. The possibility of gaps in the sequence of scenes is also taken into consideration. Extrapolation over gaps is of special interest and, by investigating attitude variability, it is shown that extrapolation is successful over multiple scene gaps which is also verified in a real data test.
期刊介绍:
The Photogrammetric Record is an international journal containing original, independently and rapidly refereed articles that reflect modern advancements in photogrammetry, 3D imaging, computer vision, and other related non-contact fields. All aspects of the measurement workflow are relevant, from sensor characterisation and modelling, data acquisition, processing algorithms and product generation, to novel applications. The journal provides a record of new research which will contribute both to the advancement of photogrammetric knowledge and to the application of techniques in novel ways. It also seeks to stimulate debate though correspondence, and carries reviews of recent literature from the wider geomatics discipline.
Relevant topics include, but are not restricted to:
- Photogrammetric sensor calibration and characterisation
- Laser scanning (lidar)
- Image and 3D sensor technology (e.g. range cameras, natural user interface systems)
- Photogrammetric aspects of image processing (e.g. radiometric methods, feature extraction, image matching and scene classification)
- Mobile mapping and unmanned vehicular systems (UVS; UAVs)
- Registration and orientation
- Data fusion and integration of 3D and 2D datasets
- Point cloud processing
- 3D modelling and reconstruction
- Algorithms and novel software
- Visualisation and virtual reality
- Terrain/object modelling and photogrammetric product generation
- Geometric sensor models
- Databases and structures for imaging and 3D modelling
- Standards and best practice for data acquisition and storage
- Change detection and monitoring, and sequence analysis