Relative Radiometric Normalization of Satellite Images using Frequency Domain

Abstract: Relative radiometric normalization method minimizes radiometric differences among images cause by inconsistencies of acquisition conditions rather than change in surface reflectance. Satellite images are useful for creating updated land cover maps. But the major problem in these images is that the region below the clouds is not covered by the sensor. Hence cloud detection and removal is very vital in the processing of satellite imagery. The objective of this study is to propose an approach for automatic detection and removal of cloud from Satellite Images. After detection and removal of the contamination the method will selectively replace the data from different images of the same area to minimize the cloud contamination effect. Detection is achieved by performing segmentation algorithm namely Average brightness thresholding (ABT) algorithm. Finally the detected cloud contamination is removed and replaced with the data from different images of the same area using relative radiometric normalization of no change set in frequency domain.

Keywords: Normalization, Relative, radiometric normalization, no change set.