Abstract: More precise topology information can be extracted from satellite images by improving the accuracy of RPC parameter data for a RFM sensor model by using only a small number of GCPs. That is, the number of GCPs required for extracting the topology information can be reduced by generating pseudo GCPs from the RPC data or composing a parameter observation equation by using the RPC data. Therefore, costs and time for actually measuring GCPs can be saved. Furthermore, since the present invention utilizes the RFM sensor model using RPC files, a new sensor model need not be required.

Abstract: In a method for locating the center of a fiducial mark contained in an image, a certain region covering every fiducial mark in the image is defined. A region containing each fiducial mark within the certain region is extracted. The center of the fiducial mark within the region containing each fiducial mark is located to pixel accuracy. The center of the fiducial mark within the region containing each fiducial mark is located to sub-pixel accuracy according to the pixel level locating of the center of the fiducial mark.

Abstract: An apparatus for calculating optical flow and camera motion using correlation matching and a system model in a moving image, in which the calculation of the optical flow is executed accurately in real time, even when an image rotation or zoom change has occurred.

Abstract: Disclosed is an apparatus for calculating an optical flow and a camera motion using a correlation matching and a system model in a moving image, in which the calculation of the optical flow is executed in real time, and even though an image rotation or zoom phenomenon is happened the optical flow can be calculated by use of the correlation matching and system model.