Using Mechanical Interpolation Method for Ortho-Rectification to Generate Large Scale Image Map from High Resolution Data

摘要

High resolution data has become an important source of data, before they can be integrating into a GIS database, It requires processing for ortho-rectification to generate image map with high accuracy and low cost. Using surface splines interpolation for rectification quite different with traditional grid method in photogrammetric, To introduce surface splines is important. In fact the actual named is mechanical surface splines because it must add mechanical conditions to form the formula. The main advantages of the surface splines are that the coordinate of the known points are not located in a rectangular array and the function may be differentiated in find slopes. Surface splines are a mathematical tool to interpolation a function of two variables. It base upon small deflection equation of an infinite plate, its originally developed for interpolation wing deflection of aircraft 1972 by Harderaed and Desmarais contributed. An example to generate 1:500 image map only five control points for rectification, the map size is 40cm×200cm. if the number of control points increase also the map size increasing large and easy operating. Other in civilian world the UAV gives low cost aerial imaging obvious using surface splines in cartographic is a tool for supporting geospatial decisions.