Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery. [PDF]
J Imaging, 2020 Jiang Z, Pan WD, Shen H.
europepmc +1 more source
Hierarchical Spatial-Spectral Feature Extraction with Long Short Term Memory (LSTM) for Mineral Identification Using Hyperspectral Imagery. [PDF]
Sensors (Basel), 2020 Zhao H, Deng K, Li N, Wang Z, Wei W.
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Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine. [PDF]
Sensors (Basel), 2020 Fang X, Cai Y, Cai Z, Jiang X, Chen Z.
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Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning. [PDF]
Sensors (Basel), 2020 Sun C +6 more
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Classifying Hyperspectral Imageries
International Journal for Research in Applied Science and Engineering Technology, 2017 openaire +1 more source
Hierarchical Sub-Pixel Anomaly Detection Framework for Hyperspectral Imagery. [PDF]
Sensors (Basel), 2018 Wang W, Zhao B, Feng F, Nan J, Li C.
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Cross-Category Tea Polyphenols Evaluation Model Based on Feature Fusion of Electronic Nose and Hyperspectral Imagery. [PDF]
Sensors (Basel), 2019 Yang B +6 more
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Variational Pansharpening for Hyperspectral Imagery Constrained by Spectral Shape and Gram⁻Schmidt Transformation. [PDF]
Sensors (Basel), 2018 Huang Z, Chen Q, Chen Q, Liu X.
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A Combined Quantitative Evaluation Model for the Capability of Hyperspectral Imagery for Mineral Mapping. [PDF]
Sensors (Basel), 2019 Li N +8 more
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Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring. [PDF]
PeerJ, 2019 Ge X +6 more
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