In this paper, we produced improvised results by Resampling Techniques for geometric correction, with ground control points which is processed for further two corrections. The images obtained by remote sensing systems are not often sufficient for high precision applications due to various distortions. The distortions can be divided into geometric, radiometric and atmospheric distortions. Initially, the Geometric Correction of Satellite Images can be approached through Automatic Ground Control points (GCP) and Extraction in Non-parametric models. Non -parametric models suggest a large number of GCP's. The correction is followed with the radiometric correction which is useful for monitoring changes in land use and land cover as a second correction. And the image distortion due to cloud cover is a classical problem of visible band of remote sensing imagery. Thirdly, the radiation from the earth surface, which highly characterizes surface inherent properties, is largely contaminated by the atmosphere resulting in a radiation that does not contain any surface information at all results to atmospheric correction. In the paper, the application of Average Threshold Technique, Histogram Analysis and Look Up Table for radiometric and atmospheric correction of satellite imagery, for Landsat images in Hierarchal Data Format (HDF) View yielded better output with resampling techniques. © Research India Publications.