An hybridization method for absolute radiometric calibration using AI techniques

In environmental monitoring and modeling, a key role is played by satellite image analysis throughout the precedent few decades. The capability of several types of change detection analysis is achieved by regular observation on a specified region over time. These can be complicated as variations in sensor calibration, changes in illumination and observation angles, and differences in atmospheric effects cause radiometric inconsistency. Generation of high quality science data and thereby higher level downstream items by surpassing these impediments necessitates radiometric characterization and calibration. The proposed hybridization method realizes registration of the satellite images for prediction purpose by carrying out the absolute radiometric calibration task. ANN and evolutionary GA are used in our proposed method to accomplish this task.