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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
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-09-01
Serier:Remote Sensing
Fag:
hyperspectral imaging
band selection
hyperspectral image classification
deep learning
convolutional neural networks
measurement learning
Online adgang:https://www.mdpi.com/2072-4292/15/18/4460
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