Convolutional Recurrent Neural Networks forHyperspectral Data Classification

How could a subcellular image, or a painting by Van Gogh, be similar to a great white shark or to a pizza?

(2017) Loris Nanni et al.   PATTERN RECOGNITION LETTERS

Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach

(2016) Wenzhi Zhao et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Dirichlet Process Based Active Learning and Discovery of Unknown Classes for Hyperspectral Image Classification

(2016) Hao Wu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

String representations and distances in deep Convolutional Neural Networks for image classification

(2016) Cécile Barat et al.   PATTERN RECOGNITION

Hyperspectral Imagery Classification Using Sparse Representations of Convolutional Neural Network Features

(2016) Heming Liang et al.   Remote Sensing

Learning a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection

(2016) Haobo Lyu et al.   Remote Sensing

Deep learning

(2015) Yann LeCun et al.   NATURE

Spectral–spatial classification of hyperspectral images using deep convolutional neural networks

(2015) Jun Yue et al.   Remote Sensing Letters

Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery

(2015) Fan Hu et al.   Remote Sensing

Deep Convolutional Neural Networks for Hyperspectral Image Classification

(2015) Wei Hu et al.   Journal of Sensors

Deep Learning-Based Classification of Hyperspectral Data

(2014) Yushi Chen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Generalized Composite Kernel Framework for Hyperspectral Image Classification

(2013) Jun Li et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

An introduction to hyperspectral imaging and its application for security, surveillance and target acquisition

(2010) P WT Yuen et al.   IMAGING SCIENCE JOURNAL