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 …
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
Ground control point (GCP) is an important calibration factor when correcting position
information during unmanned aerial vehicle (UAV) remote sensing. Studies of the optimal …
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
Multispectral imaging and the derived spectral analysis offer useful tools for revealing
beneficial information for a variety of applications, eg, precision agriculture, medical imaging …
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
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 …
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 …
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 …
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 …
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 …
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 …
information about the vegetative status ofcrops through nondestructive evaluation methods …