The automatic storage and extraction of high-level information characters of 3D entity is important to Geoinformation Visualization system. To address this problem, an effort has ben taken to develop a 3D visualization system integrated with a database when we are focusing on depicting large information spaces. Instead of using serial separated files, we explore the issues in the integration of database with the visualization system; make the database as the kernel of the system to specialize in the storage and management of all types of data. Although database management system does not have the analytical and visualization capabilities of the visualization system, it plays an integral part in our visualization system due to its data management capabilities, and helps to provide the user with a single data model.
This novel feature-based method is able to reduce the computation overheads without compromising the matching accuracy of satellite images. It incorporates the bi-orthogonal wavelet filter using B-splines designed by Yu and Ho. The bi-orthogonal wavelet filter is used to perform multi-resolution edge extraction and multi-resolution matching. Edges are matched using adaptive matching windows that vary their shapes according to the directions of the edges. An adaptive searching range is applied because the searching range of each edge point may be different. Moreover, the matched results for low resolution levels are utilized for interpolating high resolution mismatched pixels. Detailed comparison with other new feature-based algorithm on SPOT and aerial stereo images was performed. The results obtained show that the proposed algorithm was computationally more efficient as well as achieving an overall improved matched accuracy.