S³AM: A Spectral-Similarity-Based Spatial Attention Module for Hyperspectral Image Classification

Recently, hyperspectral image (HSI) classification based on deep learning methods has attracted growing attention and made great progress<italic>.</italic> Convolutional neural networks based models, especially the residual networks (ResNets), have become the architectures of choice for extracting t...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Ningyang Li, Zhaohui Wang, Faouzi Alaya Cheikh, Mohib Ullah
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2022-01-01
Sarja:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Aiheet:	Center pixel hyperspectral image classification residual network spatial attention spectral similarity
Linkit:	https://ieeexplore.ieee.org/document/9832463/
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