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

• Muut tekijät: Pirotti, Francesco (Toimittaja), Mancini, Francesco (Toimittaja)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Aiheet: Technology: general issues; History of engineering & technology; VHR tri-stereo satellite imagery; digital elevation model; isolated objects; dense image matching; change detection; natural disasters; deep learning; threshold selection; optical flow estimation; Structure from Motion (SfM); 3D reconstruction; noise estimation; point clouds; roughness; surface reconstruction; mesh model; visibility constraints; volumetric methods; dense point cloud; multiple view stereo (MVS); dense image matching (DIM); photogrammetry; computer vision; Copernicus; Sentinel-1; Sentinel-2; InSAR; damage proxy map; Beirut; Lebanon; explosion; radiometric calibration; modeling; geometric error; high-precision calibration; n/a; preprocessing; enhancement; point cloud; image processing; image histogram; UAV; camera calibration; GNSS-assisted block orientation; dome effect; Monte Carlo simulation; soil moisture content; artificial neural network; sample optimization; synthetic aperture radar; optical remote sensing image
• Linkit: DOAB: download the publication; DOAB: description of the publication

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...