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dc.contributor.editorCarvajal-Ramírez, Fernando
dc.contributor.editorAgüera-Vega, Francisco
dc.contributor.editorMartínez-Carricondo, Patricio
dc.date.accessioned2022-01-11T13:35:59Z
dc.date.available2022-01-11T13:35:59Z
dc.date.issued2021
dc.identifierONIX_20220111_9783036514543_310
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/76575
dc.description.abstractThe concept of remote sensing as a way of capturing information from an object without making contact with it has, until recently, been exclusively focused on the use of Earth observation satellites.The emergence of unmanned aerial vehicles (UAV) with Global Navigation Satellite System (GNSS) controlled navigation and sensor-carrying capabilities has increased the number of publications related to new remote sensing from much closer distances. Previous knowledge about the behavior of the Earth's surface under the incidence different wavelengths of energy has been successfully applied to a large amount of data recorded from UAVs, thereby increasing the special and temporal resolution of the products obtained.More specifically, the ability of UAVs to be positioned in the air at pre-programmed coordinate points; to track flight paths; and in any case, to record the coordinates of the sensor position at the time of the shot and at the pitch, yaw, and roll angles have opened an interesting field of applications for low-altitude aerial photogrammetry, known as UAV photogrammetry. In addition, photogrammetric data processing has been improved thanks to the combination of new algorithms, e.g., structure from motion (SfM), which solves the collinearity equations without the need for any control point, producing a cloud of points referenced to an arbitrary coordinate system and a full camera calibration, and the multi-view stereopsis (MVS) algorithm, which applies an expanding procedure of sparse set of matched keypoints in order to obtain a dense point cloud. The set of technical advances described above allows for geometric modeling of terrain surfaces with high accuracy, minimizing the need for topographic campaigns for georeferencing of such products.This Special Issue aims to compile some applications realized thanks to the synergies established between new remote sensing from close distances and UAV photogrammetry.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
dc.subject.otherunmanned aerial vehicle
dc.subject.otherurban LULC
dc.subject.otherGEOBIA
dc.subject.othermultiscale classification
dc.subject.otherunmanned aircraft system (UAS)
dc.subject.otherdeep learning
dc.subject.othersuper-resolution (SR)
dc.subject.otherconvolutional neural network (CNN)
dc.subject.othergenerative adversarial network (GAN)
dc.subject.otherstructure-from-motion
dc.subject.otherphotogrammetry
dc.subject.otherremote sensing
dc.subject.otherUAV
dc.subject.other3D-model
dc.subject.othersurveying
dc.subject.othervertical wall
dc.subject.othersnow
dc.subject.otherremotely piloted aircraft systems
dc.subject.otherstructure from motion
dc.subject.otherlidar
dc.subject.otherforests
dc.subject.otherorthophotography
dc.subject.otherconstruction planning
dc.subject.othersustainable construction
dc.subject.otherurbanism
dc.subject.otherBIM
dc.subject.otherbuilding maintenance
dc.subject.otherunmanned aerial vehicle (UAV)
dc.subject.otherstructure-from-motion (SfM)
dc.subject.otherground control points (GCP)
dc.subject.otheraccuracy assessment
dc.subject.otherpoint clouds
dc.subject.othercorridor mapping
dc.subject.otherUAV photogrammetry
dc.subject.otherterrain modeling
dc.subject.othervegetation removal
dc.subject.otherunmanned aerial vehicles
dc.subject.otherpower lines
dc.subject.otherimage-based reconstruction
dc.subject.other3D reconstruction
dc.subject.otherunmanned aerial systems
dc.subject.othertime series
dc.subject.otheraccuracy
dc.subject.otherreproducibility
dc.subject.otherorthomosaic
dc.subject.othervalidation
dc.subject.otherdrone
dc.subject.otherGNSS RTK
dc.subject.otherprecision
dc.subject.otherelevation
dc.subject.othermultispectral imaging
dc.subject.othervegetation indices
dc.subject.othernutritional analysis
dc.subject.othercorrelation
dc.subject.otheroptimal harvest time
dc.subject.otherUAV images
dc.subject.othermonoscopic mapping
dc.subject.otherstereoscopic plotting
dc.subject.otherimage overlap
dc.subject.otheroptimal image selection
dc.subject.othern/a
dc.titleUAV Photogrammetry and Remote Sensing
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-1453-6
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036514543
oapen.relation.isbn9783036514536
oapen.pages257
oapen.place.publicationBasel, Switzerland


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