Automatic target recognition(ATR) is the key of the image guidance technology, yet it is difficult to recognize the target
by merely depending on the real-time image acquired by flying vehicle cameras, moreover, the task of recognizing the
target from the real-time images by the vehicle-carrying image processing system is a hard work itself. The main trend of
the ATR nowadays is to make utilization of the images produced by high-resolution remote sensing satellite to retrieve
the front elevation of the interested region before hand. These front elevations are loaded upon the flying vehicles and
are matched with the real-time images acquired by vehicle-carrying cameras to recognize the interested target. Obviously,
the key step of this method is to recover the 3D information from 2D images. This paper proposed a framework to
produce multi-scale and multi-viewpoint projection images based on remote sensing satellite stereopair by means of
photogrammetry and computer vision. First we proposed a algorithm for reconstructing the 3D structure of the target by
digital photogrammetric techniques and establishing the 3D model of the target using the OpenGL visualization toolkit.
Then the conversion relationship between the world coordinate system and the simulation space coordinate system is
provided to produce the front elevation in the simulation space.