Optimizing the Retrieval of Wheat Crop Traits from UAV-Borne Hyperspectral Image with Radiative Transfer Modelling Using Gaussian Process Regression

Optimizing the Retrieval of Wheat Crop Traits from UAV-Borne Hyperspectral Image with Radiative Transfer Modelling Using Gaussian Process Regression

The advent of high-spatial-resolution hyperspectral imagery from unmanned aerial vehicles (UAVs) made a breakthrough in the detailed retrieval of crop traits for precision crop-growth monitoring systems. Here, a hybrid approach of radiative transfer modelling combined with a machine learning (ML) al...

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Bibliographic Details
Main Authors: Rabi N. Sahoo, Shalini Gakhar, Rajan G. Rejith, Jochem Verrelst, Rajeev Ranjan, Tarun Kondraju, Mahesh C. Meena, Joydeep Mukherjee, Anchal Daas, Sudhir Kumar, Mahesh Kumar, Raju Dhandapani, Viswanathan Chinnusamy
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Remote Sensing
Subjects:
machine learning (ML) Gaussian process regression (GPR)
unmanned aerial vehicle (UAV)
hyperspectral
ARTMO
wheat
radiative transfer model
Online Access:https://www.mdpi.com/2072-4292/15/23/5496

Internet

https://www.mdpi.com/2072-4292/15/23/5496

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