Geometric Integration of Aerial and QuickBird Imagery for High Accuracy Geopositioning and Mapping Application: A Case Study in Shanghai

摘要

This paper explores the geometric performance of integration of aerial and QuickBird images. Different integration scenarios with different bias compensation schemes in the image space were studied, and the results showed that the introduction of the aerial images can improve the geopositioning accuracy of the QuickBird images to close to the aerial pixel level. In addition, methods of correcting biases in the object space were tested, and the results revealed the disadvantage of the bias compensation in the object space. An experiment was conducted for mapping ground objects such as inland rivers, buildings, and roads using the proposed integration method.