Dalton Lunga

Hierarchical feature learning with dropout k-means for hyperspectral image classification

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

Capsulenet-Based Spatial–Spectral Classifier for Hyperspectral Images

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning