A Joint Network of Edge-Aware and Spectral-Spatial Feature Learning for Hyperspectral Image Classification. [PDF]
Zheng J +6 more
europepmc +1 more source
Residual channel attention based sample adaptation few-shot learning for hyperspectral image classification. [PDF]
Zhao Y, Sun J, Hu N, Zai C, Han Y.
europepmc +1 more source
Advanced Global Prototypical Segmentation Framework for Few-Shot Hyperspectral Image Classification. [PDF]
Xia K +5 more
europepmc +1 more source
Dynamic weighted residual ensemble learning for hyperspectral image classification driven by features and samples. [PDF]
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]
Yang P, Zhang X.
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]
Wan X, Chen F, Gao W, Mo D, Liu H.
europepmc +1 more source
Attention 3D central difference convolutional dense network for hyperspectral image classification. [PDF]
Ashraf M +5 more
europepmc +1 more source
Unveiling the potential of diffusion model-based framework with transformer for hyperspectral image classification. [PDF]
Sigger N +4 more
europepmc +1 more source
Transfer Learning-Based Hyperspectral Image Classification Using Residual Dense Connection Networks. [PDF]
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]
Liu S, Yin C, Zhang H.
europepmc +1 more source

