A Joint Network of Edge-Aware and Spectral-Spatial Feature Learning for Hyperspectral Image Classification. [PDF]
Sensors (Basel)Zheng J +6 more
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Residual channel attention based sample adaptation few-shot learning for hyperspectral image classification. [PDF]
Sci RepZhao Y, Sun J, Hu N, Zai C, Han Y.
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Advanced Global Prototypical Segmentation Framework for Few-Shot Hyperspectral Image Classification. [PDF]
Sensors (Basel)Xia K +5 more
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Dynamic weighted residual ensemble learning for hyperspectral image classification driven by features and samples. [PDF]
HeliyonWang J, Yang G, Lu H.
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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.
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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 RepWan X, Chen F, Gao W, Mo D, Liu H.
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Attention 3D central difference convolutional dense network for hyperspectral image classification. [PDF]
PLoS OneAshraf M +5 more
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Unveiling the potential of diffusion model-based framework with transformer for hyperspectral image classification. [PDF]
Sci RepSigger N +4 more
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Transfer Learning-Based Hyperspectral Image Classification Using Residual Dense Connection Networks. [PDF]
Sensors (Basel)Zhou H, Wang X, Xia K, Ma Y, Yuan G.
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CESA-MCFormer: An Efficient Transformer Network for Hyperspectral Image Classification by Eliminating Redundant Information. [PDF]
Sensors (Basel)Liu S, Yin C, Zhang H.
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