Uav Photogrammetry for Mapping and 3d Modeling – Current Status and Future Perspectives

Abstract

UAV platforms are nowadays a valuable source of data for inspection, surveillance, mapping and 3D modeling issues. New applications in the short-and close-range domain are introduced, being the UAVs a low-cost alternatives to the classical manned aerial photogrammetry. Rotary or fixed wing UAVs, capable of performing the photogrammetric data acquisition with amateur or SLR digital cameras, can fly in manual, semi-automated and autonomous modes. With a typical photogrammetric pipeline, 3D results like DSM/DTM, contour lines, textured 3D models, vector data, etc. can be produced, in a reasonable automated way. The paper reports the latest developments of UAV image processing methods for photogrammetric applications, mapping and 3D modeling issues. Automation is nowadays necessary and feasible at the image orientation, DSM generation and orthophoto production stages, while accurate feature extraction is still an interactive procedure. New perspectives are also addressed. Figure 1: Example of scenes surveyed with a UAV system (Microdrone MD4-200) and photogrammetric results achieved from the acquired images: digital surface model, orthoimages and overlaid contours (archaeological area in Montalcino, Italy).

Drone in urban spaces: Study case in parks, gardens and built heritage of Cuenca

“…Para la conservación de estas áreas se buscan y se establecen estrategias de monitoreo, con la finalidad de evidenciar los cambios ocurridos a lo largo del tiempo -recuperación o degradación-y la toma de decisiones oportunas. Dentro de estas estrategias, los drones cumplen un rol de generación de ortofotos y cartografía con una alta resolución espacial y temporal en corto tiempo (Remondino, Barazzetti, Nex, Scaioni, & Sarazzi, 2011).…”

“…Desde el año 1979 existe legislación específica en torno a la protección del patrimonio denominada "Ley de Patrimonio Cultural". A partir del Decreto de emergencia del Patrimonio Cultural del año 2008, la sociedad empezó a tener conciencia de la importancia de precautelar los bienes heredados de nuestros antepasados (Rodas, 2008).…”

“…Existen investigaciones que buscan usar esta tecnología para evaluar el tráfico vehicular en base a los videos que se pueden obtener del dron (Salvo, Caruso, & Scordo, 2014).…”

Uav-Based Photogrammetric Point Clouds – Tree Stem Mapping in Open Stands in Comparison to Terrestrial Laser Scanner Point Clouds

“…A technique to extract 3D-information of UAV flights is given by the structure-from-motion (SFM) processing chain, which produces point clouds on the basis of feature matches within overlapping images. Several studies depicted a high potential of the combination of UAV image flights and the SFM processing chain, particularly with regard to urban objects and terrain modeling [Remondino et al, 2011]. By now fewer attempts have been conducted to extract vegetation structure or specifically information on forest stands.…”

Point Distribution as True Quality of LiDAR Point Cloud

“…Quality of DEMs and DSMs is measured as height difference between points of generated model and control points measured using more precise method calculating RMSE (root mean square error) to express the amount of quality (Uddin, 2002), (Karel et al, 2006), (Saylam, 2009), (Wang et al, 2010), (Remondinoa et al, 2011). Currently, there is ASPRS standard "ASPRS Positional Accuracy Standards for Digital Geospatial Data" (www.asprs.org/Standards-Activities.html), which specifies horizontal and vertical accuracy for digital data and their verification (ASPRS, 2015a), however, it does not specify the best practices and methodologies needed to meet the accuracy thresholds stated by it and does not cover classification tasks and business uses (ASPRS, 2015b).…”