Geopositioning And Object Extraction Based On Integration Of QuickBird Imagery And Aerial Imagery

With the increase of quantity and types of remote sensing imagery, integration of different types of remote sensing imagery has become more and more important. Geopositioning and object extraction are important parts of research on integration of different types of remote sensing imagery. This paper does research on geopositioning, epipolarity and object extraction based on integration of the linear CCD push-broom imagery and frame perspective imagery with QuickBird images and aerial images as experimental data. The main works are summarized as below:1. This paper does research on the systematic error, accuracy assessment of error refinement based on different refinement models and geopositioning based on integration of the linear CCD push-broom imagery and frame perspective imagery. It is proved in the experiments that affine model has the highest accuracy and geopositioning accuracy based on integration of QuickBird image and aerial image is less than geopositioning accuracy based on QuickBird images and higher than geopositioning accuracy based on aerial images.2. This paper does research on shape, property and accuracy of epipolarity of the linear CCD push-broom imagery and epipolarity between the linear CCD push-broom imagery and frame perspective imagery. It is proved in the experiments that the shape of epipolarity in linear CCD push-broom image is curve. Different epipolarity intersect at different points and the accuracy of epipolarity is above one pixel.3. This paper does research on methods for extracting buildings, which mainly includes edge detection based on SUSAN operator, line extraction based on Hough Transform and matching method based on invariant moment and epipolarity constraint. Extraction strategy based on QuickBird images and aerial images is presented in the end. The deficiency of SUSAN operator is partly improved by double-threshold SUSAN operator which is proposed in this paper. It is proved in the experiments that the accuracy of edge detection is improved while information content detected is not reduced. Invariability of invariant moment is also proved and epipolarity constraint is applied for improving speed and reliability of matching in the experiment. Extraction strategy based on QuickBird images and aerial images is proposed in the paper and applied in the experiment.In the end of the paper, the work which has been done in the paper is summarized, and the problems requiring further research are discussed.