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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Format: | Electronic Book Chapter |
Language: | English |
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MDPI - Multidisciplinary Digital Publishing Institute
2018
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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042 | |a dc | ||
072 | 7 | |a TQ |2 bicssc | |
100 | 1 | |a Felipe Gonzalez Toro (Ed.) |4 auth | |
700 | 1 | |a Antonios Tsourdos (Ed.) |4 auth | |
245 | 1 | 0 | |a UAV or Drones for Remote Sensing Applications |b Volume 1 |
260 | |b MDPI - Multidisciplinary Digital Publishing Institute |c 2018 | ||
300 | |a 1 electronic resource (382 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
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506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
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. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by-nc-nd/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-nc-nd/4.0/ | ||
546 | |a English | ||
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 | ||
856 | 4 | 0 | |a www.oapen.org |u https://www.mdpi.com/books/pdfview/book/867 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/61440 |7 0 |z DOAB: description of the publication |