Institute of Information Theories and Applications FOI ITHEA
Abstract:
Data processing services for Meteosat geostationary satellite are presented. Implemented services
correspond to the different levels of remote-sensing data processing, including noise reduction at preprocessing
level, cloud mask extraction at low-level and fractal dimension estimation at high-level. Cloud mask obtained as a
result of Markovian segmentation of infrared data. To overcome high computation complexity of Markovian
segmentation parallel algorithm is developed. Fractal dimension of Meteosat data estimated using fractional
Brownian motion models.
