Remote sensing image presented as one of the most effective methods to acquire the disaster information in the
Wenchuan earthquake. For its technical advantages such as rapid and flexible takeoff, the Unmanned Aerial Vehicles
(UAV) played an important role in the "5.12" Wenchuan earthquake emergency relief. The UAV remote sensing image
has some special characteristics contrasting with other RS image, so how to process quickly the images is the key issue.
In this paper, a fast method is presented for moisacing the remote sensing images from the UAV without ground control
points. The method grounds on two principles, parallel computing and digital photogrammetry. The experimental results
justify the needs of uncontrolled mosaic images production for the requirements of post-disaster emergency. The mosaic
images without correction by ground control points provide no geographic information, but they can provide panoramic
and macro-information of earthquake-stricken areas. Then the geometric correction technique was employed to correct
the panoramic mosaic images to obtain the high-precise digital orthophoto based on the pre-disaster information such as
topographic maps. By using the object-oriented method for the information extraction and rapid automatic classification
of the UVA remote sensing image can achieve the anticipative goals.