UAV or Drones for Remote Sensing Applications Volume 1

The rapid development and growth of unmanned aerial vehicles (UAVs) as a remote sensing platform, as well as advances in the miniaturization of instrumentation and data systems, have resulted in an increasing uptake of this technology in the environmental and remote sensing science communities. Alth...

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Bibliographic Details
Main Author: Felipe Gonzalez Toro (Ed.) (auth)
Other Authors: Antonios Tsourdos (Ed.) (auth)
Format: Electronic Book Chapter
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2018
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a UAV or Drones for Remote Sensing Applications  |b Volume 1 
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520 |a The rapid development and growth of unmanned aerial vehicles (UAVs) as a remote sensing platform, as well as advances in the miniaturization of instrumentation and data systems, have resulted in an increasing uptake of this technology in the environmental and remote sensing science communities. Although tough regulations across the globe may still limit the broader use of UAVs, their use in precision agriculture, ecology, atmospheric research, disaster response biosecurity, ecological and reef monitoring, forestry, fire monitoring, quick response measurements for emergency disaster, Earth science research, volcanic gas sampling, monitoring of gas pipelines, mining plumes, humanitarian observations and biological/chemo-sensing tasks continues to increase. This book provides a forum for high-quality peer-reviewed papers that broaden the awareness and understanding of UAV developments, applications of UAVs for remote sensing, and associated developments in sensor technology, data processing and communications, and UAV system design and sensing capabilities. The book covers the following topics: • improvements in UAV sensor technology; • UAV sensor design; • descriptions of processing algorithms applied to UAV-based imagery datasets; • the use of optical, multi-spectral, hyperspectral, laser, and optical SAR technologies onboard UAVs; • Artificial intelligence and data mining-based strategies from UAV-acquired datasets; • UAV onboard data storage, transmission, and retrieval; • multiple platform UAV, AUV, and ground robot networks; • UAV sensor applications including: precision agriculture, construction, mining, pest detection, forestry, wildlife tracking, atmosphere, wildfire monitoring and prevention, reef monitoring, Earth science research pollution monitoring, micro-climates, land use precision agriculture, ecology, atmospheric research, quick response measurements for emergency disaster. 
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650 7 |a Environmental science, engineering & technology  |2 bicssc 
653 |a UAV-Based Remote Sensing 
653 |a drones 
653 |a pedestrian detection and tracking as well as a range of atmospheric 
653 |a UAV images 
653 |a fuzzy-based hybrid control algorithms 
653 |a water plume temperature measurements 
653 |a aeromagnetic and archaeological surveys 
653 |a geological 
653 |a two-UAV communication system 
653 |a agricultural 
653 |a wildlife 
653 |a reef 
653 |a detection 
653 |a multi-target localization 
653 |a ecological 
653 |a search and rescue (SAR) 
653 |a coastal area coverage 
653 |a remote sensing 
653 |a environmental science 
653 |a segmentation in digital surface models for 3D reconstruction 
653 |a location and grasping objects 
653 |a augmented reality tools 
653 |a building and construction 
653 |a aerial robotics 
653 |a noise suppression techniques 
653 |a rectification for oblique images 
653 |a vision-based tracking in cooperative multi-UAV systems 
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