Multi-date satellite imagery of same geographical location plays a vital role for many applications in real time, such as change detection and feature extraction. But these images are prone to relative geometric, radiometric and atmospheric errors or distortions. The geometric distortions could be eliminated using resampling techniques. The source of geometric distortions includes sensor effects, platform effects, object effects and atmospheric effects. The process of the geometric correction is to extract the ground control points and set the projection to the images with resampling techniques. The present work applies Average Brightness Threshold (ABT) algorithm for removing or minimizing the radiometric distortions and the 6S algorithm used for correcting the atmospheric errors in the remote sensing images. The Relative Radiometric correction is done by average brightness threshold algorithm, PIF methods, Histogram, linear regression and also compared the results of different techniques. From this study the ABT gives better result than the other techniques used. The relative atmospheric correction is measured with surface reflectance and 6S algorithm. © 2014 CAFET-INNOVA TECHNICAL SOCIETY. All rights reserved.