A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification
A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification is a scholarly work, published in 2019 in ''IEEE Transactions on Geoscience and Remote Sensing''. The main subjects of the publication include segmentation, image, convolutional neural network, deep learning, graph, artificial intelligence, image segmentation, computer science, Pairwise comparison, pixel, phase, pattern recognition, contextual image classification, hyperspectral imaging, and synthetic aperture radar. The authors conducted experiments on two real benchmark PolSAR images, and extensive experiments demonstrated that the approach achieved the state-of-the-art results for PolSAR image classification.