UAV Sensors for Environmental Monitoring

Edited by
March 2018
670 pages
  • ISBN978-3-03842-753-7 (Paperback)
  • ISBN978-3-03842-754-4 (PDF)

This book is a reprint of the Special Issue UAV Sensors for Environmental Monitoring that was published in

Chemistry & Materials Science
Environmental & Earth Sciences
  • Paperback
© 2019 by the authors; CC BY license
sensor networks; target tracking; path planning for multiple UAVs; greenhouse; UAVs; sensory system; environmental monitoring; agriculture; robotics; UAV; IMU; GPS; MMS; DG; calibration; image dehazing; image defogging; image enhancement; unmanned aerial vehicle images; remote sensing images; 3D Flash LIDAR; autonomous aerial refueling; computer vision; UAV; probe and drogue; markerless; multisensor super-resolution (SR); UAV image enhancement; regularized image restoration; image fusion; unmanned aerial vehicle; traffic sensor network; space-time network; lagrangian relaxation; route planning; unmanned aerial vehicle; control; planning; camera-based sensing; infrastructure inspection; tall buildings; close range photogrammetry; UAV application; automated 3D modeling techniques; terrestrial laser scanning; topographic survey; cultural heritage; emergency context survey; UAV; orthophoto; emergency response; photogrammetry; civil protection; UAV; remote sensor; precision agriculture; multiple UAV operation; onboard sensor information sharing; monitoring multiple environment; close UAV formation; circular formation; triangular formation; panchromatic camera; filters; SIFT; RANSAC; registration; multispectral; UAV; navigation; Geo-referencing; SAR; interferometry; ATR; feasibility; PM10; monitoring; blasting; fixed-wing UAV; quadcopter; optical sensor; aerial robotics; pole inspection; visual servoing, shared autonomy; mobile nodes; unmanned aerial vehicles; communication architecture; data collection; wireless sensor networks; UAV; micro UAV; vision; detection; distance estimation; cascaded classifiers; UAV; modeling; photogrammetry; calibration; georeferencing; ground control point; mine; coverage path planning; UAVs; vehicle routing problem; Unmanned Aerial Vehicle; photogrammetry; Artificial Neural Network; feature recognition; hydromorphology; UAV; GNSS-reflectometry; GNSS bistatic radar; prototyping; pseudolite; pulsed signal; false lock; UAV; task assignment; motion planning; obstacles; prioritized targets; Dubins car; UAV; visual odometry; projective geometry; video stream; feature points; modified Kalman filter; control; localization; sensor networks; path loss coefficient; RSS; TOF; unmanned aerial vehicles; computer vision; animal tracking; face detection; vision-based control; object following; autonomous navigation; autonomous landing; anti-poaching; Unmanned Aerial Vehicle (UAV); wildlife monitoring; artificial intelligence; thermal imaging; robotics; conservation; automatic classification; koala; deer; wild pigs; dingo; conservation; UAV; multispectral; VI; agriculture; carbon export; soil landscape; unmanned aircraft; UAV target detection; Partially-Observable Markov Decision Process (POMDP); path planning; Robotic Operating System (ROS); uncertainty; robust navigation; n/a