Multiscale Wavelet and Graph Network With Spectral Self-Attention for Hyperspectral Image Classification

Hyperspectral image (HSI) classification has gained increasing attention in remote sensing due to its finegrained spectral information. However, existing methods still face significant challenges in preserving high-frequency details, modeling long-range dependencies, and integrating spectral, spatia...

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Autori principali:	Anyembe C. Shibwabo, Zou Bin, Tahir Arshad, Jorge Abraham Rios Suarez
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2025-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soggetti:	Attention mechanism convolutional neural network (CNN) feature integration graph convolution network (GCN) hyperspectral image (HSI) classification
Accesso online:	https://ieeexplore.ieee.org/document/11018235/
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