| dc.description.abstract | Data updating and maintenance of three-dimensional Geographic Information Systems (GIS) are necessary due to environmental changes. Instead of reconstructing entire models, the more economic and efficient way of updating is to focus on the changed parts. The preprocessing of change detection using imagery is orientation modeling, the needed control information might be categorized as point-based control and line-based control. Unchanged three-dimensional vector data in GIS can be used as control data of orientation modeling. Therefore, this study registers images and object vector data for orientation determination.
This study contains two major parts: (1) line-based orientation model construction and (2) feature registration. Considering the lens distortion effects of line controls in the first part, two space resection processes, Feature extraction from Raw Image (FRI) and Feature extraction from Compensate Image (FCI), are compared. For the second part of the study, the first step is to pull-in the initial exterior orientation parameters using the geometric information of quadrangle objects. The following process is to refine the orientation using more line controls.
Experimental data includes simulated data and real ones. Simulated data used for analyzing lens distortion effects of line controls. Real data contains vertical, oblique and close range photographs. Real data were used for analyzing effects of control configurations and orientation modeling with automatic feature registration. Experimental results showed that the large lens distortion gave large error of FRI. FCI indicated better results than FRI. The proposed automatic feature registration procedure made 81.4 % correspondence feature selections correct. In the case of good configuration, including vertical and close range photographs, orientation modeling accuracy is high. On the other hand, the oblique photograph with weak configuration and shorter control lines yield lower accuracy. | en_US |