Spectral denoising in hyperspectral imaging using the discrete wavelet transform

Spectral denoising in hyperspectral imaging using the discrete wavelet transform

The use of hyperspectral sensors has gained relevance in agriculture due to its potential in the phytosanitary management of crops. However, these sensors are sensitive to spectral noise, which makes their real application difficult. Therefore, this work focused on the analysis of the spectral noise...

書誌詳細
主要な著者:	Rincón-Fonseca, Rafael Iván, Velásquez-Hernández, Carlos Alberto, Prieto-Ortiz, Flavio Augusto
フォーマット:	Online
言語:	eng spa
出版事項:	Universidad Pedagógica y Tecnológica de Colombia 2021
主題:	HSI spectral denoising wavelet transform hyperspectral analysis reducción de ruido espectral transformada wavelet análisis hiperespectral
オンライン･アクセス:	https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/13359

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