Satellite Image Classification Method Using CNN

Deep learning-based CNN methods have been used for the classification of satellite images among a set of 3 different classes. This work does not only classify the satellite image class this work is also capable of classifying 3 different class however to identify the features of those other classes like the cats, dog. is also simple because these other classes have some exclusive features which can be simply to differentiate hence easy classification. In the case of the satellite image, the major issue is that different satellite images may have different features that make satellite image classification hard. Another issue is that safelight images are normally noise corrupted. The noise patterns of the wireless image are estimated using CNN model. The method used in this work is the Satellite image correct recognition obtain is 75.94%.

Keywords: CNN, Deep Learning, Pre-processing, Image classification, .