Research On Multi-Angle Remote Sensing Image And 3-D Information Extraction For Realistic Visualization

Remote sensing photogrammetry has a lot of advantages, such as large range and large amount of information accessing, less restricted conditions. Therefore, it becomes to be an important way of information extraction on the resources and the environment. With the continuous development of space remote sensing technology, we can obtain much more information. At the same time, people increasingly strong demand for accessing to the complementary of information which is from multi-angle, multi-sensor or even multi-platform to fill the shortage of single remote sensing image. The three-dimensional information extraction based on multi-angle remote sensing images is an example.With the development of the three-dimensional information extraction technology, people require more and more applications on three-dimensional spatial information of the objects. It promotes the development of three-dimensional graphics technology and the visualization technology in scientific computing. And a growing number of researchers are paying attention to the visualization of three-dimensional information. In this process, we try to get texture information as much as possible in order to enhance realistic view of objectives and scenarios. As is widely used, three-dimensional visualization becomes to be one of the hot issues.This paper mainly studies on three-dimensional information accessing and the visualization of these data with real texture information. First, this article mainly researches stereo matching method in multi-angle remote sensing images by Harris ang SIFT. And accomplishes the three-dimensional information extraction based on remote sensing imaging theory. In this process, the paper resolves the problem about fine calibration of sensor parameters by Taylor series linearization and error Iteration. It improves the accuracy of extraction and enhances the stability of the system.Then, it uses Delaunay triangulation, polynomial interpolation and polynomial fitting to get the geometric model of typical targets and terrain, such as buildings bridges and scenarios. Additionally, there are basic element models to build complex models. At the same time the models are proposed texture mapping method that based on remote sensing imaging model. It increases the texture information of objectives and scenarios.Finally, this article solves the visual display of data and roaming display of the three-dimensional reconstruction by using computer graphics principles. The final texture information data combined with the three-dimensional data for visualization and multi-angle roaming. So that the realistic view of three-dimensional target model is enhanced. Thereby, it carries out multi-angle observation and analysis purposes, and in this paper a lot of semi-physical or physical simulation experiments are done to verify them.