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Remote Sensing Image Classification of Geoeye-1 High-Resolution Satellite
2014
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Networks play the role of a high-level language, as is seen in Artificial Intelligence and statistics, because networks are used to build complex model from simple components. These years, Bayesian Networks, one of probabilistic networks, are a powerful data mining technique for handling uncertainty in complex domains. In this paper, we apply Bayesian Networks Augmented Naive Bayes (BAN) to texture classification of High-resolution satellite images and put up a new method to construct the
doi:10.5194/isprsarchives-xl-4-325-2014
fatcat:xpb4xxebfvdbzawdhnsmh2f3xi