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This book focuses on remote sensing for urban deformation monitoring. In particular, it highlights how deformation monitoring in urban areas can be carried out using Persistent Scatterer Interferometry (PSI) and Synthetic Aperture Radar (SAR) Tomography (TomoSAR). Several contributions show the capabilities of Interferometric SAR (InSAR) and PSI techniques for urban deformation monitoring. Some of them show the advantages of TomoSAR in un-mixing multiple scatterers for urban mapping and monitoring. This book is dedicated to the technical and scientific community interested in urban applications. It is useful for choosing the appropriate technique and gaining an assessment of the expected performance. The book will also be useful to researchers, as it provides information on the state-of-the-art and new trends in this field
surface subsidence --- PS --- permanent scatterers --- land subsidence --- PS-InSAR --- thermal dilation --- SBAS-InSAR --- Sepulveda Transit Corridor --- deformation --- differential SAR interferometry --- reclaimed land --- Istanbul --- deformation monitoring --- skyscrapers --- generalized likelihood ratio test --- validation --- uplift --- displacement monitoring --- pursuit monostatic --- radar interferometry --- Sentinel-1A --- urbanization --- synthetic aperture radar --- Turkey --- terraSAR-X --- geological and geomorphological mapping --- London --- differential compaction --- expansive soils --- health monitoring --- Copernicus Sentinel-1 --- displacement mapping --- PALSAR --- land reclamation --- tomography --- Venetian-Friulian Plain --- ALOS PALSAR --- multi-temporal DInSAR --- SAR interferometry --- InSAR --- persistent scatterers --- carbonate karstification --- ENVISAT ASAR --- multiple PS detection --- sparse signals --- urban subsidence --- time series InSAR analysis --- time series analysis --- Persistent Scatterer Interferometry (PSI) --- engineering construction --- Rome --- persistent scatterer interferometry --- subsidence --- persistent scatterer interferometry (PSI) --- SNAP-StaMPS --- Lingang New City --- dewatering --- atmospheric component --- urban deformation monitoring --- Sentinel-1 --- differential interferometry --- Late-Quaternary deposits --- modelling --- Generalized Likelihood Ratio Test --- Persistent Scatterer Interferometry --- synthetic aperture radar (SAR) --- Capon estimation --- differential tomography --- deformation time series --- groundwater level variation --- radar detection --- multi-look SAR tomography --- spaceborne SAR --- SAR --- ERS-1/-2 --- reclamation settlements --- Wuhan --- subsidence monitoring --- water level changes --- polarimetry --- asymmetric subsidence --- urban monitoring --- urban areas --- landslide --- SAR tomography --- Urayasu City --- risk --- Los Angeles --- PALSAR-2
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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
Choose an application
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
Choose an application
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
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