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A Feature Based Generic Model for Georeferencing of High Resolution Satellite Imagery
| Content Provider | Semantic Scholar |
|---|---|
| Author | Samadzadegan, Farhad Saeedi, Sara Shenk, Toni |
| Copyright Year | 2006 |
| Abstract | Geo-referencing through rectification remains to be one of the challenging problems in remote sensing and various imagery applications such as image pose estimation, image to Object Registration and 3D map generation. Rigorous mathematical models with the aid of satellite ephemeris data can present the relationship between the image space and object space. With government funded satellites, access to calibration and ephemeris data allowed the development of these models. However, for commercial high- resolution satellites, these data have been withheld from users, and therefore alternative empirical rectification models have been developed. In general, most of these models are based on the use of control points. Visibility and uniqueness of distinct control points in the input imagery limit use of this feature for robust Georeferencing procedure and provide a catalyst for the development of algorithms based on other image features. Recent advances in digital photogrammetry and Remote sensing mandate adopting higher-level primitives such as control linear features for replacing traditional control points. Linear features can be automatically extracted from the image space. On the other hand, object space control linear features can be obtained from an existing GIS layer containing 3D vector data such as road network, or from terrestrial Mobile Mapping Systems. In this paper, we present a new model named the Line Based Generic Model (LBGM), for Georeferencing of High Resolution Satellite imageries. The model has the flexibility to either solely use linear features or control point to define the image transformation parameters. As with other empirical models, the LBGM does not require any sensor calibration or satellite ephemeris data. Synthetic as well as real data have been used to check the validity and fidelity of the model, and experimental results proved the feasibility and robustness of LBGM approach, especially when compared to those obtained through traditional point based transformation models. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.wseas.us/e-library/conferences/2006tenerife/papers/541-532.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
