Results 191 to 200 of about 9,650 (249)

Advanced Global Prototypical Segmentation Framework for Few-Shot Hyperspectral Image Classification. [PDF]

Sensors (Basel)
Xia K, Yuan G, Xia M, Li X, Gui J, Zhou H.   +5 more
europepmc   +1 more source

Dynamic weighted residual ensemble learning for hyperspectral image classification driven by features and samples. [PDF]

Heliyon
Wang J, Yang G, Lu H.
europepmc   +1 more source

A Dual-Branch Fusion of a Graph Convolutional Network and a Convolutional Neural Network for Hyperspectral Image Classification. [PDF]

Sensors (Basel)
Yang P, Zhang X.
europepmc   +1 more source

Attention 3D central difference convolutional dense network for hyperspectral image classification. [PDF]

PLoS One
Ashraf M, Alharthi R, Chen L, Umer M, Alsubai S, Eshmawi AA.   +5 more
europepmc   +1 more source

Fusion of circulant singular spectrum analysis and multiscale local ternary patterns for effective spectral-spatial feature extraction and small sample hyperspectral image classification. [PDF]

Sci Rep
Wan X, Chen F, Gao W, Mo D, Liu H.
europepmc   +1 more source

Unveiling the potential of diffusion model-based framework with transformer for hyperspectral image classification. [PDF]

Sci Rep
Sigger N, Vien QT, Nguyen SV, Tozzi G, Nguyen TT.   +4 more
europepmc   +1 more source

Transfer Learning-Based Hyperspectral Image Classification Using Residual Dense Connection Networks. [PDF]

Sensors (Basel)
Zhou H, Wang X, Xia K, Ma Y, Yuan G.
europepmc   +1 more source

CESA-MCFormer: An Efficient Transformer Network for Hyperspectral Image Classification by Eliminating Redundant Information. [PDF]

Sensors (Basel)
Liu S, Yin C, Zhang H.
europepmc   +1 more source

DMAF-NET: Deep Multi-Scale Attention Fusion Network for Hyperspectral Image Classification with Limited Samples. [PDF]

Sensors (Basel)
Guo H, Liu W.
europepmc   +1 more source

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Ghostnet for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2021
Hyperspectral imaging (HSI) is a competitive remote sensing technique in several fields, from Earth observation to health, robotic vision, and quality control. Each HSI scene contains hundreds of (narrow) contiguous spectral bands. The amount of data generated by HSI devices is often both a solution and a problem for a given application.
Mercedes Eugenia Paoletti, Juan Mario Haut, Nuno S. Pereira, Javier Plaza, Antonio Plaza   +4 more
openaire   +1 more source