Learning-Based Optimization of Hyperspectral Band Selection for Classification

Hyperspectral sensors acquire spectral responses from objects with a large number of narrow spectral bands. The large volume of data may be costly in terms of storage and computational requirements. In addition, hyperspectral data are often information-wise redundant. Band selection intends to overc...

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Principais autores:	Cemre Omer Ayna, Robiulhossain Mdrafi, Qian Du, Ali Cafer Gurbuz
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-09-01
Colecção:	Remote Sensing
Assuntos:	hyperspectral imaging band selection hyperspectral image classification deep learning convolutional neural networks measurement learning
Acesso em linha:	https://www.mdpi.com/2072-4292/15/18/4460
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