Spectrally Segmented-Enhanced Neural Network for Precise Land Cover Object Classification in Hyperspectral Imagery

The paradigm shift brought by deep learning in land cover object classification in hyperspectral images (HSIs) is undeniable, particularly in addressing the intricate 3D cube structure inherent in HSI data. Leveraging convolutional neural networks (CNNs), despite their architectural constraints, off...

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Detalhes bibliográficos

Principais autores:	Touhid Islam, Rashedul Islam, Palash Uddin, Anwaar Ulhaq
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-02-01
coleção:	Remote Sensing
Assuntos:	segmentation convolutional neural network hyperspectral image (HSI) support vector machine (SVM) factor analysis (FA) multi-layer CNN
Acesso em linha:	https://www.mdpi.com/2072-4292/16/5/807
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