UAV Photogrammetry and Remote Sensing
The 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) contro...
Guardado en:
| Formato: | Online |
|---|---|
| Lenguaje: | inglés |
| Publicado: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
|
| Materias: | |
| Acceso en línea: | ONIX_20220111_9783036514543_310 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1869522959864954880 |
|---|---|
| collection | Directory of Open Access Books |
| description | The 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. |
| format | Online |
| id | doab-20.500.12854ir-76575 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-765752024-04-09T23:16:47Z UAV Photogrammetry and Remote Sensing Carvajal-Ramírez, Fernando Agüera-Vega, Francisco Martínez-Carricondo, Patricio unmanned aerial vehicle urban LULC GEOBIA multiscale classification unmanned aircraft system (UAS) deep learning super-resolution (SR) convolutional neural network (CNN) generative adversarial network (GAN) structure-from-motion photogrammetry remote sensing UAV 3D-model surveying vertical wall snow remotely piloted aircraft systems structure from motion lidar forests orthophotography construction planning sustainable construction urbanism BIM building maintenance unmanned aerial vehicle (UAV) structure-from-motion (SfM) ground control points (GCP) accuracy assessment point clouds corridor mapping UAV photogrammetry terrain modeling vegetation removal unmanned aerial vehicles power lines image-based reconstruction 3D reconstruction unmanned aerial systems time series accuracy reproducibility orthomosaic validation drone GNSS RTK precision elevation multispectral imaging vegetation indices nutritional analysis correlation optimal harvest time UAV images monoscopic mapping stereoscopic plotting image overlap optimal image selection n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues The 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. 2022-01-11T13:35:59Z 2022-01-11T13:35:59Z 2021 book ONIX_20220111_9783036514543_310 9783036514543 9783036514536 https://directory.doabooks.org/handle/20.500.12854/76575 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4020 https://mdpi.com/books/pdfview/book/4020 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-1453-6 10.3390/books978-3-0365-1453-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036514543 9783036514536 257 Basel, Switzerland open access |
| spellingShingle | unmanned aerial vehicle urban LULC GEOBIA multiscale classification unmanned aircraft system (UAS) deep learning super-resolution (SR) convolutional neural network (CNN) generative adversarial network (GAN) structure-from-motion photogrammetry remote sensing UAV 3D-model surveying vertical wall snow remotely piloted aircraft systems structure from motion lidar forests orthophotography construction planning sustainable construction urbanism BIM building maintenance unmanned aerial vehicle (UAV) structure-from-motion (SfM) ground control points (GCP) accuracy assessment point clouds corridor mapping UAV photogrammetry terrain modeling vegetation removal unmanned aerial vehicles power lines image-based reconstruction 3D reconstruction unmanned aerial systems time series accuracy reproducibility orthomosaic validation drone GNSS RTK precision elevation multispectral imaging vegetation indices nutritional analysis correlation optimal harvest time UAV images monoscopic mapping stereoscopic plotting image overlap optimal image selection n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues UAV Photogrammetry and Remote Sensing |
| title | UAV Photogrammetry and Remote Sensing |
| title_full | UAV Photogrammetry and Remote Sensing |
| title_fullStr | UAV Photogrammetry and Remote Sensing |
| title_full_unstemmed | UAV Photogrammetry and Remote Sensing |
| title_short | UAV Photogrammetry and Remote Sensing |
| title_sort | uav photogrammetry and remote sensing |
| topic | unmanned aerial vehicle urban LULC GEOBIA multiscale classification unmanned aircraft system (UAS) deep learning super-resolution (SR) convolutional neural network (CNN) generative adversarial network (GAN) structure-from-motion photogrammetry remote sensing UAV 3D-model surveying vertical wall snow remotely piloted aircraft systems structure from motion lidar forests orthophotography construction planning sustainable construction urbanism BIM building maintenance unmanned aerial vehicle (UAV) structure-from-motion (SfM) ground control points (GCP) accuracy assessment point clouds corridor mapping UAV photogrammetry terrain modeling vegetation removal unmanned aerial vehicles power lines image-based reconstruction 3D reconstruction unmanned aerial systems time series accuracy reproducibility orthomosaic validation drone GNSS RTK precision elevation multispectral imaging vegetation indices nutritional analysis correlation optimal harvest time UAV images monoscopic mapping stereoscopic plotting image overlap optimal image selection n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | unmanned aerial vehicle urban LULC GEOBIA multiscale classification unmanned aircraft system (UAS) deep learning super-resolution (SR) convolutional neural network (CNN) generative adversarial network (GAN) structure-from-motion photogrammetry remote sensing UAV 3D-model surveying vertical wall snow remotely piloted aircraft systems structure from motion lidar forests orthophotography construction planning sustainable construction urbanism BIM building maintenance unmanned aerial vehicle (UAV) structure-from-motion (SfM) ground control points (GCP) accuracy assessment point clouds corridor mapping UAV photogrammetry terrain modeling vegetation removal unmanned aerial vehicles power lines image-based reconstruction 3D reconstruction unmanned aerial systems time series accuracy reproducibility orthomosaic validation drone GNSS RTK precision elevation multispectral imaging vegetation indices nutritional analysis correlation optimal harvest time UAV images monoscopic mapping stereoscopic plotting image overlap optimal image selection n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | ONIX_20220111_9783036514543_310 |