Development and Hardware Implementation of an Efficient Algorithm for Cloud Detection from Satellite Images

Detecting clouds in satellite imagery is becoming more important with increasing data availability which are generated by earth observing satellites. Hence, intellectual processing of the enormous amount of data received by hundreds of earth receiving stations, with specific satellite image oriented approaches, presents itself as a pressing need. One of the most important steps in previous stages of satellite image processing is cloud detection. While there are many approaches that compact with different semantic meaning, there are rarely approaches that compact specifically with cloud and cloud cover detection. In this paper, the technique presented is the scene based adaptive cloud, cloud cover detection and find the position with assumption of sun reflection, background varying and scattering are constant. The capability of the developed system was tested using dedicated satellite images and assessed in terms of cloud percentage coverage. The system used for this process comprises of Intel(R) Xenon(R) CPU E31245 @ 3.30GHz processor along with MATLAB 13 software and DSPC6713 processor along with Code Compose Studio 3.1.