Change Detection using Relative Radiometric Correction on Air Field Satellite Imagery

This paper focusses on improving the results of change detection between two satellite images of the same place taken at different times. Some of the primary challenges faced in change detection lies in overcoming the unregistered dataset, disturbances introduced due to air borne sensors and diverse atmospheric conditions such as lighting, cloud shadows and atmosphere haziness. To overcome the above challenges an additional step of relative radiometric correction has been added, before performing change detection. The results derived have been quantified in the form of percentage of change in image. Finally, the changes have been visually interpreted, for analysing the correctness and accuracy of results.