Learning-Based Optimization of Hyperspectral Band Selection for Classification

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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Bibliographic Details
Main Authors: Cemre Omer Ayna, Robiulhossain Mdrafi, Qian Du, Ali Cafer Gurbuz
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
hyperspectral imaging
band selection
hyperspectral image classification
deep learning
convolutional neural networks
measurement learning
Online Access:https://www.mdpi.com/2072-4292/15/18/4460

Internet

https://www.mdpi.com/2072-4292/15/18/4460

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