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In this paper, a new denoising method based on a denoising autoencoder (DAE) is proposed, which was trained with simulated spectra generated by the radiative ...
The reflectance spectrum of fresh plant leaves in the near infrared has been systematically analyzed. It is verified that presence of OH is the key to those ...
Abstract—Hyperspectral field spectra are an essential foun- dation for the construction and evaluation of many vegetation indices and vegetation models.
DENOISING HYPERSPECTRAL FIELD SPECTRA OF VEGETATION WITH A PROSAIL-FED DENOISING AUTOENCODER. Zihua Wu, Qiming Qin, Peking University, China. Session: High ...
Denoising Hyperspectral Field Spectra of Vegetation with a Prosail-Fed Denoising Autoencoder. IGARSS 2021: 5857-5860; 2020. [c3]. view. electronic edition via ...
Denoising Hyperspectral Field Spectra of Vegetation with a Prosail-Fed Denoising Autoencoder. Conference Paper. Full-text available. Jul 2021. Zihua Wu ...
Denoising Hyperspectral Field Spectra of Vegetation with a Prosail-Fed Denoising Autoencoder. Z Wu, Q Qin. 2021 IEEE International Geoscience and Remote ...
Denoising Hyperspectral Field Spectra of Vegetation with a Prosail-Fed Denoising Autoencoder · Zihua WuQ. Qin. Environmental Science, Computer Science. 2021 ...
Jul 1, 2023 · In this paper, we propose a generic unmixing framework to integrate the autoencoder network with regularization by denoising (RED), named AE-RED.
Hyperspectral imaging (HSI) technology provides an efficient and non-destructive tool for studying leaf chlorophyll content (LCC) to evaluate photosynthesis ...