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Recent Progress in UAV-AI Remote Sensing

This reprint delves into the cutting-edge intersection of Unmanned Aerial Vehicles (UAV) and Artificial Intelligence (AI), offering a comprehensive look at how these technologies are revolutionizing vegetation monitoring, target tracking, and various other applications. Featuring 15 in-depth article...

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Guardat en:
Format: Online
Idioma:anglès
Publicat: MDPI - Multidisciplinary Digital Publishing Institute 2025
Matèries:
max-relevance and min-redundance
extreme gradient boosting regression
wheat stripe rust
feature selection
spectral index
solar-induced chlorophyll fluorescence
hyperspectral remote sensing
unmanned aerial vehicles (UAVs)
wide-area and real-time object search
aerial image
object detection
leaf chlorophyll content
canopy chlorophyll content
vertical distribution
leaf spectral reflectance
maize
wheat
fusarium head blight
mechanism
remote sensing
machine learning techniques
UAV tracking and landing
visual anti-interference
deep learning
weakly supervised learning
image-to-image translation
transmission line detection
unmanned aerial vehicle
channel attention mechanism
comprehensive growth index
vegetation indices
multiple linear regression
partial least squares
random forest
precision agriculture
multi-object tracking
data association
temporal information
remote sensing data
video sequence
visual object tracking
adversarial learning
convolutional neural network
attention mechanism
UAV
hyperspectral
spectral feature
location feature
vegetation indexes
potato
aboveground biomass
building extraction
floor area estimation
rural China
above-ground biomass
green-edge parameters
partial least squares regression
canopy original spectra
first-derivative spectra
plant height
support vector machine
Gaussian process regression
plant nitrogen content
spectral indices
unmanned aerial vehicles
object tracking
object localization
edge computing
inspection
YOLOv4
YOLOv7
DeepSORT
n/a
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
Accés en línia:ONIX_20250220_9783725820832_104
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ONIX_20250220_9783725820832_104

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