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...

Descripció completa

Dades bibliogràfiques

Autors principals:	Touhid Islam, Rashedul Islam, Palash Uddin, Anwaar Ulhaq
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-02-01
Col·lecció:	Remote Sensing
Matèries:	segmentation convolutional neural network hyperspectral image (HSI) support vector machine (SVM) factor analysis (FA) multi-layer CNN
Accés en línia:	https://www.mdpi.com/2072-4292/16/5/807
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!