Attention-Mechanism-Containing Neural Networks for High-Resolution Remote Sensing Image Classification
Attention-Mechanism-Containing Neural Networks for High-Resolution Remote Sensing Image Classification is a scholarly work, published in 2018 in ''Remote Sensing''. The main subjects of the publication include feature engineering, deep learning, artificial intelligence, feature extraction, image fusion, stacking, computer vision, remote sensing, artificial neural network, computer science, image resolution, feature, pixel, pattern recognition, and hyperspectral imaging. The authors propose a novel neural network that incorporates two kinds of attention mechanisms in its mask and trunk branches; i.e., control gate (soft) and feedback attention mechanisms, respectively, based on the branches’ primary roles.