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The design of novel UAV systems and the use of UAV platforms integrated with robotic sensing and imaging techniques, as well as the development of processing workflows and the capacity of ultra-high temporal and spatial resolution data, have enabled a rapid uptake of UAVs and drones across several industries and application domains.This book provides a forum for high-quality peer-reviewed papers that broaden awareness and understanding of single- and multiple-UAV developments for remote sensing applications, and associated developments in sensor technology, data processing and communications, and UAV system design and sensing capabilities in GPS-enabled and, more broadly, Global Navigation Satellite System (GNSS)-enabled and GPS/GNSS-denied environments.Contributions include:UAV-based photogrammetry, laser scanning, multispectral imaging, hyperspectral imaging, and thermal imaging;UAV sensor applications; spatial ecology; pest detection; reef; forestry; volcanology; precision agriculture wildlife species tracking; search and rescue; target tracking; atmosphere monitoring; chemical, biological, and natural disaster phenomena; fire prevention, flood prevention; volcanic monitoring; pollution monitoring; microclimates; and land use;Wildlife and target detection and recognition from UAV imagery using deep learning and machine learning techniques;UAV-based change detection.

Technology: general issues --- UAV --- landing --- optical flow --- video navigation --- Kalman filter --- coastal mapping --- coastal monitoring --- Digital Elevation Models (DEMs) --- geomorphological evolution --- photogrammetry --- Structure-from-Motion (SfM) --- Unmanned Aerial Vehicles (UAVs) --- snow mapping --- UAS --- remote sensing --- direct georeferencing --- snow field --- snow-covered area --- snow depth --- water level changes --- UAV photogrammetry --- tidal phase --- GNSS --- Kilim River --- unmanned aerial vehicles --- UAV swarms --- visual detection --- visual tracking --- machine vision --- deep learning --- YOLO --- laser guidance --- emergency landing --- particle filter --- change detection --- convolutional neural networks --- moving camera --- image alignment --- multirotor --- ground effect --- sensor faults --- UAV imagery --- bundle block adjustment --- digital surface model --- orthomosaic --- data collection --- accuracy --- technical guidelines --- DSM assessment --- backpack mobile mapping --- underground cellars --- unmanned aerial vehicle --- unmanned aerial system --- vision-based navigation --- search and rescue --- vision and action --- OODA --- inspection --- target detection --- autonomous localization --- 3D registration --- GPS-denied environment --- real-time --- multi-robot --- bioinspired map --- topologic mapping --- map exploration --- onboard GNSS RTK --- UAS traffic management --- multiple UAV navigation --- navigation in GPS/GNSS-denied environments --- distributed state estimation --- consensus theory --- computer architecture --- decision making --- navigation --- semantics --- aerial systems --- applications, inspection robotics, bridge inspection with UAS --- POMDP --- Deep Reinforcement-Learning --- multi-agent --- search --- UAV --- landing --- optical flow --- video navigation --- Kalman filter --- coastal mapping --- coastal monitoring --- Digital Elevation Models (DEMs) --- geomorphological evolution --- photogrammetry --- Structure-from-Motion (SfM) --- Unmanned Aerial Vehicles (UAVs) --- snow mapping --- UAS --- remote sensing --- direct georeferencing --- snow field --- snow-covered area --- snow depth --- water level changes --- UAV photogrammetry --- tidal phase --- GNSS --- Kilim River --- unmanned aerial vehicles --- UAV swarms --- visual detection --- visual tracking --- machine vision --- deep learning --- YOLO --- laser guidance --- emergency landing --- particle filter --- change detection --- convolutional neural networks --- moving camera --- image alignment --- multirotor --- ground effect --- sensor faults --- UAV imagery --- bundle block adjustment --- digital surface model --- orthomosaic --- data collection --- accuracy --- technical guidelines --- DSM assessment --- backpack mobile mapping --- underground cellars --- unmanned aerial vehicle --- unmanned aerial system --- vision-based navigation --- search and rescue --- vision and action --- OODA --- inspection --- target detection --- autonomous localization --- 3D registration --- GPS-denied environment --- real-time --- multi-robot --- bioinspired map --- topologic mapping --- map exploration --- onboard GNSS RTK --- UAS traffic management --- multiple UAV navigation --- navigation in GPS/GNSS-denied environments --- distributed state estimation --- consensus theory --- computer architecture --- decision making --- navigation --- semantics --- aerial systems --- applications, inspection robotics, bridge inspection with UAS --- POMDP --- Deep Reinforcement-Learning --- multi-agent --- search

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The design of novel UAV systems and the use of UAV platforms integrated with robotic sensing and imaging techniques, as well as the development of processing workflows and the capacity of ultra-high temporal and spatial resolution data, have enabled a rapid uptake of UAVs and drones across several industries and application domains.This book provides a forum for high-quality peer-reviewed papers that broaden awareness and understanding of single- and multiple-UAV developments for remote sensing applications, and associated developments in sensor technology, data processing and communications, and UAV system design and sensing capabilities in GPS-enabled and, more broadly, Global Navigation Satellite System (GNSS)-enabled and GPS/GNSS-denied environments.Contributions include:UAV-based photogrammetry, laser scanning, multispectral imaging, hyperspectral imaging, and thermal imaging;UAV sensor applications; spatial ecology; pest detection; reef; forestry; volcanology; precision agriculture wildlife species tracking; search and rescue; target tracking; atmosphere monitoring; chemical, biological, and natural disaster phenomena; fire prevention, flood prevention; volcanic monitoring; pollution monitoring; microclimates; and land use;Wildlife and target detection and recognition from UAV imagery using deep learning and machine learning techniques;UAV-based change detection.

UAV --- landing --- optical flow --- video navigation --- Kalman filter --- coastal mapping --- coastal monitoring --- Digital Elevation Models (DEMs) --- geomorphological evolution --- photogrammetry --- Structure-from-Motion (SfM) --- Unmanned Aerial Vehicles (UAVs) --- snow mapping --- UAS --- remote sensing --- direct georeferencing --- snow field --- snow-covered area --- snow depth --- water level changes --- UAV photogrammetry --- tidal phase --- GNSS --- Kilim River --- unmanned aerial vehicles --- UAV swarms --- visual detection --- visual tracking --- machine vision --- deep learning --- YOLO --- laser guidance --- emergency landing --- particle filter --- change detection --- convolutional neural networks --- moving camera --- image alignment --- multirotor --- ground effect --- sensor faults --- UAV imagery --- bundle block adjustment --- digital surface model --- orthomosaic --- data collection --- accuracy --- technical guidelines --- DSM assessment --- backpack mobile mapping --- underground cellars --- unmanned aerial vehicle --- unmanned aerial system --- vision-based navigation --- search and rescue --- vision and action --- OODA --- inspection --- target detection --- autonomous localization --- 3D registration --- GPS-denied environment --- real-time --- multi-robot --- bioinspired map --- topologic mapping --- map exploration --- onboard GNSS RTK --- UAS traffic management --- multiple UAV navigation --- navigation in GPS/GNSS-denied environments --- distributed state estimation --- consensus theory --- computer architecture --- decision making --- navigation --- semantics --- aerial systems --- applications, inspection robotics, bridge inspection with UAS --- POMDP --- Deep Reinforcement-Learning --- multi-agent --- search