With the advance of the science and technology, the interest on space Science has been increased continuously. Many spacecrafts have been launched, many high resolution spaceborne sensors have emerged and many applications have been developed.
Among these applications, remote sensing becomes one of the important parts. Remote sensing is defined as the science and technology by which the characteristics of objects of interest can be identified, measured or analyzed the characteristics without direct contact.
Through remote sensing, we can monitor the surface of the earth and the atmosphere, detect buildings, roads and vehicles etc.. Also the 3D geographic information can be constructed.
In this study, we are concerned with the extraction of the 3D geographic information from a pair of satellite stereo images. Using satellite images, the 3D geographic information can be extracted efficiently because satellite images can be acquired frequently. This study will describe the techniques such as satellite image acquisition and pre-processing, camera modeling, stereo matching, 3D height calculation and interpolation in detail. The performances are assessed using a pair of SPOT stereo images and the ground truth data acquired manually.
By developing this techniques, the 3D geographic information can be acquired from spaceborne images. The 3D geographic information required in many applications such as a GIS and military applications, etc., can be provided from efficient satellite images.