UAV or Drones for Remote Sensing Applications in GPS/GNSS Enabled and GPS/GNSS Denied Environments

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 i...

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Year of Publication:2021
Language:English
Physical Description:1 electronic resource (388 p.)
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520 |a 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. 
546 |a English 
650 7 |a Technology: general issues  |2 bicssc 
653 |a UAV 
653 |a landing 
653 |a optical flow 
653 |a video navigation 
653 |a Kalman filter 
653 |a coastal mapping 
653 |a coastal monitoring 
653 |a Digital Elevation Models (DEMs) 
653 |a geomorphological evolution 
653 |a photogrammetry 
653 |a Structure-from-Motion (SfM) 
653 |a Unmanned Aerial Vehicles (UAVs) 
653 |a snow mapping 
653 |a UAS 
653 |a remote sensing 
653 |a direct georeferencing 
653 |a snow field 
653 |a snow-covered area 
653 |a snow depth 
653 |a water level changes 
653 |a UAV photogrammetry 
653 |a tidal phase 
653 |a GNSS 
653 |a Kilim River 
653 |a unmanned aerial vehicles 
653 |a UAV swarms 
653 |a visual detection 
653 |a visual tracking 
653 |a machine vision 
653 |a deep learning 
653 |a YOLO 
653 |a laser guidance 
653 |a emergency landing 
653 |a particle filter 
653 |a change detection 
653 |a convolutional neural networks 
653 |a moving camera 
653 |a image alignment 
653 |a multirotor 
653 |a ground effect 
653 |a sensor faults 
653 |a UAV imagery 
653 |a bundle block adjustment 
653 |a digital surface model 
653 |a orthomosaic 
653 |a data collection 
653 |a accuracy 
653 |a technical guidelines 
653 |a DSM assessment 
653 |a backpack mobile mapping 
653 |a underground cellars 
653 |a unmanned aerial vehicle 
653 |a unmanned aerial system 
653 |a vision-based navigation 
653 |a search and rescue 
653 |a vision and action 
653 |a OODA 
653 |a inspection 
653 |a target detection 
653 |a autonomous localization 
653 |a 3D registration 
653 |a GPS-denied environment 
653 |a real-time 
653 |a multi-robot 
653 |a bioinspired map 
653 |a topologic mapping 
653 |a map exploration 
653 |a onboard GNSS RTK 
653 |a UAS traffic management 
653 |a multiple UAV navigation 
653 |a navigation in GPS/GNSS-denied environments 
653 |a distributed state estimation 
653 |a consensus theory 
653 |a computer architecture 
653 |a decision making 
653 |a navigation 
653 |a semantics 
653 |a aerial systems 
653 |a applications, inspection robotics, bridge inspection with UAS 
653 |a POMDP 
653 |a Deep Reinforcement-Learning 
653 |a multi-agent 
653 |a search 
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