Innovations in Photogrammetry and Remote Sensing : Modern Sensors, New Processing Strategies and Frontiers in Applications

• Autore: Pirotti Francesco
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 online resource (216 p.)
• Soggetto topico: History of engineering & technology; Technology: general issues
• Soggetto non controllato: 3D reconstruction; artificial neural network; Beirut; camera calibration; change detection; computer vision; Copernicus; damage proxy map; deep learning; dense image matching; dense image matching (DIM); dense point cloud; digital elevation model; dome effect; enhancement; explosion; geometric error; GNSS-assisted block orientation; high-precision calibration; image histogram; image processing; InSAR; isolated objects; Lebanon; mesh model; modeling; Monte Carlo simulation; multiple view stereo (MVS); n/a; natural disasters; noise estimation; optical flow estimation; optical remote sensing image; photogrammetry; point cloud; point clouds; preprocessing; radiometric calibration; roughness; sample optimization; Sentinel-1; Sentinel-2; soil moisture content; Structure from Motion (SfM); surface reconstruction; synthetic aperture radar; threshold selection; UAV; VHR tri-stereo satellite imagery; visibility constraints; volumetric methods
• Persona (resp. second.): ManciniFrancesco; PirottiFrancesco
• Sommario/riassunto: The Special Issue collects papers showing the progress made in key areas of photogrammetry and remote sensing such as modern and/or forthcoming sensors, improvements in data processing strategies and assessment of their reliability, application of innovations as proof of the contribution offered in the observation of the natural and built environment with better understanding of phenomena at required spatial scale.
• Altri titoli varianti: Innovations in Photogrammetry and Remote Sensing
• Titolo autorizzato: Innovations in Photogrammetry and Remote Sensing
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910576883503321
• Lo trovi qui: Univ. Federico II