Special Issue: Deep Learning in Remote Sensing Applications (Editorial)

Satellite remote sensing applications are data-intensive, and monitoring activities are the most common use of remote sensing data [...]

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Vydané v:Applied sciences Ročník 15; číslo 9; s. 5019
Hlavný autor: Zirilli, Francesco
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Basel MDPI AG 30.04.2025
Predmet:
Agricultural production
Algorithms
Artificial intelligence
Artificial satellites in remote sensing
Computational linguistics
Data science
Deep learning
Electric waves
Electromagnetic radiation
Electromagnetic waves
Electromagnetism
Experiments
Landslides & mudslides
Language processing
Machine learning
n/a
Natural language interfaces
Neural networks
Remote sensing
Satellites
Sensors
Signal processing
Unmanned aerial vehicles
Urban areas
ISSN:2076-3417, 2076-3417
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Shrnutí:Satellite remote sensing applications are data-intensive, and monitoring activities are the most common use of remote sensing data [...]
Bibliografia:SourceType-Scholarly Journals-1
content type line 14
ObjectType-Editorial-2
ObjectType-Commentary-1
ISSN:2076-3417
2076-3417
DOI:10.3390/app15095019