Ground Target Classification in Noisy SAR Images Using Convolutional Neural Networks
Ground Target Classification in Noisy SAR Images Using Convolutional Neural Networks is a scholarly work, published in 2018 in ''IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing''. The main subjects of the publication include convolutional neural network, radar imaging, noise reduction, artificial intelligence, noise, computer vision, biological robustness, speckle noise, pattern recognition, contextual image classification, computer science, and synthetic aperture radar. The authors investigate the influence of speckle on the classical convolutional neural network (CNN) for SAR target classification.