An open-source machine-learning application for predicting pixel-to-pixel NDVI regression from RGB calibrated images

L Moscovini, L Ortenzi, F Pallottino, S Figorilli… - … and Electronics in …, 2024 - Elsevier
Abstract The Normalized Difference Vegetation Index (NDVI) is the most common index to
measure vegetation in agriculture and create classified prescription maps used for several …

Optimization of ground control point distribution for unmanned aerial vehicle photogrammetry for inaccessible fields

K Zhang, H Okazawa, K Hayashi, T Hayashi, L Fiwa… - Sustainability, 2022 - mdpi.com
Ground control point (GCP) is an important calibration factor when correcting position
information during unmanned aerial vehicle (UAV) remote sensing. Studies of the optimal …

Cost-efficient coupled learning methods for recovering near-infrared information from RGB signals: Application in precision agriculture

A Gkillas, D Kosmopoulos, K Berberidis - Computers and Electronics in …, 2023 - Elsevier
Multispectral imaging and the derived spectral analysis offer useful tools for revealing
beneficial information for a variety of applications, eg, precision agriculture, medical imaging …

Multimodal and Multiresolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and Benchmark

F Xu, Y Shi, P Ebel, W Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Cloud removal (CR) is a significant and challenging problem in remote sensing, and in
recent years, there have been notable advancements in this area. However, two major …

Generalized inverse matrix-graphic deep learning algorithm for multispectral pyrometer temperature inversion

N Zhang, J Xing, S Cui - Optics Express, 2023 - opg.optica.org
The multispectral radiometric temperature measurement technique is affected by the
unknown emissivity, and there is no multispectral radiometric temperature inversion …

Micro-Doppler extraction of radar targets with translational motion based on spatial transformer network

X Xu, C Feng - IEEE Signal Processing Letters, 2022 - ieeexplore.ieee.org
The micro-Doppler (MD) signature, an effect that is induced by micro-motion, characterizes
the rich motion information of targets, making it a valuable tool for target classification and …

Optimización de la evaluación de pastos mediante la implementación de imágenes multiespectrales y vehículo aéreo no tripulado

DAP Carrillo, OEG Guerrero… - … DE TECNOLOGIAS DE …, 2024 - ojs.unipamplona.edu.co
Este artículo desarrolla una forma de optimizar la evaluación de pastos utilizando vehículos
aéreos no tripulados (UAV) y el análisis de imágenes multiespectrales. La investigación se …

[PDF][PDF] Development of Methods for Crop Growth Assessment Using UAV Aerial Images

張可 - nodai.repo.nii.ac.jp
Remote sensing employing unmanned aerial vehicles (UAVs) is becoming a popular and
trustworthy technology for both users and researchers in many technical fields. UAVs have …

Vie-Net: Regressive U-Net for Vegetation Index Estimation

V Capparella, E Nemmi, C Costa… - Corrado and Figorilli …, 2011 - papers.ssrn.com
Vegetation indexes (VIs) are important indicators in agriculture, revealing valuable
information about the vegetative status ofcrops through nondestructive evaluation methods …