Single-photo resection using the modified hough transform

The single-photo resection (SPR) has been a fundamental task in many photog rammetric, remote sensing, and computer vision applications. The objective of the SPR is to determine the position of the perspective center and the o rientation of the image coordinate system relative to the around coordinate system (i.e., establish the exterior orientation parameters, or EOP). In t raditional photogrammetric techniques, this problem is solved using 2D imag e point to 3D object point correspondence. Recent advances in digital photo grammetry mandate adopting higher order control features (e.g., linear feat ures). Also, one should attempt to solve this problem without knowing the c orrespondence between the image and object space features. This approach is used to estimate the parameters of a mathematical model relating the entit ies of two data sets when the correspondence of entities is unknown. As a r esult of the parameter estimation, the correspondence is implicitly determi ned. This technique has been applied to the single-photo resection, where t he collinearity model is used to relate extracted edge (feature) pixels in a digital image to 3D object space points along linear features. As a resul t of this approach, the six exterior orientation parameters are estimated a nd the correspondence between image and object space features is establishe d. This technique facilitates the fusion of digital imagery with terrestria l mobile mapping,, data, GIS data, and line maps. In addition, automated ma tching facilitates the detection of changes between object and image space features. It has to be mentioned that this approach is robust against discr epancies between the object space control features and the image space extr acted features. Only common features are used for the parameter estimation. On the other hand, noncorresponding features will not affect the quality o f the estimated parameters.