Feature-based Transformation Models for Satellite Image Orientation and Terrain Modeling

The benefits from the use of the features attributes and the availability of different types of features on images (pointor linear-features) have raised the importance of using different feature-based transformation models for satellite image registration and terrain modeling. In the last decades, several research works have been conducted to facilitate the use of pointor linear-feature based transformation models for the satellite image orientation. However, most of these models depend on the availability of the sensor information (rigorous models) that may be withheld from user community. This research work presents a new form of the empirical 3D affine transformation model which can use either pointor linear-features for image registration and terrain modeling. The model is tested with different types of satellite sensors and the results show the applicability of the model with accuracy close to those from the rigorous models.