Effective band selection of hyperspectral image by an attention mechanism-based convolutional network

The selection of effective and representative spectral bands is extremely important in eliminating redundant information and reducing the computational burden for the potential real-time applications of hyperspectral imaging. However, current band selection methods act as a separate procedure before...

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Veröffentlicht in:	RSC advances 2022-03, Vol.12 (14), p.875-8759
Hauptverfasser:	Zheng, Zengwei, Liu, Yi, He, Mengzhu, Chen, Dan, Sun, Lin, Zhu, Fengle
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Chemistry Chlorophyll Classification Datasets Feature extraction Genetic algorithms Hyperspectral imaging Regression models Soil analysis Spatial data Spectra Spectral bands Training
Online-Zugang:	Volltext
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