Evaluation of the Usefulness of Machine Learning and Artificial Intelligence on Hyperspectral Images in the Diagnosis of Myelodysplastic Syndrome. [PDF]
Ueda Y +7 more
europepmc +1 more source
Edge-Distilled and Local-Global Feature Selection Network for Hyperspectral Image Super-Resolution. [PDF]
Li X, Fan M, Zheng X, Shang J.
europepmc +1 more source
Dementia Detection via Retinal Hyperspectral Imaging and Deep Learning: Clinical Dataset Analysis and Comparative Evaluation of Multiple Architectures. [PDF]
Lin WS, Chen CL, Liang SW, Wang HC.
europepmc +1 more source
Hyperspectral Image Denoising via Quasi-Recursive Spectral Attention and Cross-Layer Feature Fusion. [PDF]
Xiao Y, Zhou H, Li W, Yang L, Wang K.
europepmc +1 more source
Revolutionizing hyper spectral image denoising: a squeezenet paradigm. [PDF]
Nachimuthu N +3 more
europepmc +1 more source
Interband Consistency-Driven Structural Subspace Clustering for Unsupervised Hyperspectral Band Selection. [PDF]
Wang Z, Wang W.
europepmc +1 more source
CSFCNet: Cascaded Spatial-Frequency Convolutional Network for Hyperspectral Image Classification. [PDF]
Jiang F, Liu X, Li M, Nie T, Huang L.
europepmc +1 more source
Multi-Scale Semantic Selection and Spatial Constraint-Guided Network for Cross-Scene Hyperspectral Image Classification. [PDF]
Tang Y +6 more
europepmc +1 more source
MDHANet: Rethinking HOG as a Prior in Dense Networks with Self-Attention for Hyperspectral Image Classification. [PDF]
Zhang H, Gui Y, Mou J, Lian C.
europepmc +1 more source
HL-Mamba: A High-Low Frequency Interaction Mamba Network for Hyperspectral Image Classification. [PDF]
Teng Y, Gan S, Yuan X.
europepmc +1 more source

