Remote Sensing Image Classification of Geoeye-1 High-Resolution Satellite

B. Yang, X. Yu
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
more » ... k topology structure in terms of training accuracy based on the training samples. In the experiment, we choose GeoEye-1 satellite images. Experimental results demonstrate BAN outperform than NBC in the overall classification accuracy. Although it is time consuming, it will be an attractive and effective method in the future.
doi:10.5194/isprsarchives-xl-4-325-2014 fatcat:xpb4xxebfvdbzawdhnsmh2f3xi