Using Surface Splines for GIS- ready Imagery

Abstract

High resolution data have 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 is quite different with traditional grid method in photogrammetric. To introduce surface splines is important. In fact the actual name 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 interpolate a function of two variables. It bases upon small deflection equation of an infinite plate, it originally developed for interpolation wing deflection of aircraft 1972 by Harderaed and Desmarais contributed. An example map size is beyond the custom. Only five control points for rectification (60 cm × 200 cm) if the number of control points is increasing also the map size increasing large and operating easy. The other UAV in civilian world gives low cost. Obvious aerial imaging using surface splines in cartographic is a tool for supporting geospatial decisions.