Application of Fast Fourier Transformation on image processing software

This paper includes the study of Remote sensing data, especially spatial GIS satellite data, when processed through image processing techniques, play a powerful role in planning and management of natural resources for their optimum utilization. Digital Image Processing is concerned with the manipulation and analysis of Digital Images with the help of computers. It is one of the methods for processing of data from satellites. Transformation converts data from spatial domain to a two-dimensional frequency using a transformation algorithm. We have applied here Fast Fourier Transform (FFT) algorithm, which reduces the number of computations from something on the order of N2 to N log N. The image is projected and transformed to a geometrically corrected image using mathematical projection & Fourier transformation equations based on inputs of Ground Control Points. Image Processing software provides user to apply various classifications, filter operations, enhancement on remotely sensed satellite image. We are performing FOURIER TRANSFORMATION on satellite images using Image Processing software.