This study provides a development strategy of CNN estimation model using one-dimensional hyperspectral reflectance at leaf scale.

Mar 18, 2022 · Therefore, this study developed a CNN using one-dimensional hyperspectral reflectance, which aimed to improve the model's accuracy and ...

A convolution neural network for forest leaf chlorophyll and carotenoid ... using leaf hyperspectral reflectance based on the CNN's architectures. 2. S. Shi ...

The chlorophyll content was estimated using regression models based on a one-dimensional convolutional neural network (1D-CNN) that was generated after the ...

A convolution neural network for forest leaf chlorophyll and carotenoid estimation using hyperspectral reflectance. Article. Full-text available. Apr 2022; INT ...

A convolution neural network for forest leaf chlorophyll and carotenoid estimation using hyperspectral reflectance. Date:2022-03-05 Hits: 195.

Nov 14, 2023 · This study aims to evaluate the performance of hyperspectral data for estimating LCC of jujube trees by integrating different derivative ...

Apr 2, 2024 · convolution neural network for forest leaf chlorophyll and carotenoid estimation using. 733 hyperspectral reflectance. International Journal ...

... Using Hyperspectral Reflectance ... Evaluation of a One-Dimensional Convolution Neural Network for Chlorophyll Content Estimation Using a Compact Spectrometer.

In this study, we collected measurements of both leaf reflectance and leaf chlorophyll content through a field experiment and aimed to (i) monitor the seasonal ...