Photogrammetry Software Is Suited for Use With Drones

Eos Systems Inc. introduces photogrammetry software optimized for photographs taken with drones.

Eos Systems Inc. introduces photogrammetry software optimized for photographs taken with drones.

Eos Systems Inc. has introduced photogrammetry software optimized specifically for photographs taken with drones or unmanned aerial systems (UAS).

The PhotoModeler UAS 2016 software creates 3D models, measurements, and maps from photographs taken with ordinary cameras built-in or mounted on drones. It includes features for optimized operation with drone photos including post processing kinematics (PPK), volume objects, geographic coordinate systems support, multispectral image support and control point assist. Eos Systems is offering the new software at $2275, 35 percent off the normal price, from Nov. 1 to Nov. 30, 2016.

The new version of PhotoModeler is suited for drone photogrammetry applications including surveying, ground contouring, surface model creation, stock pile volume measurement, mining and mine reclamation, environmental analysis, slope analysis, forensic analysis, construction, and agricultural crop analysis. New applications for drone photogrammetry are developed monthly.  Eos PhotoModeler was introduced 23 years ago and is a photogrammetric software platform with a range of users in fields such as architecture, engineering, surveying, research, manufacturing and forensics.
 
PhotoModeler UAS 2016 software includes features that provide performance in drone photogrammetry.  Camera calibration is optimized for accuracy with UASs and the global positioning system (GPS). Post processed kinematics (PPK) makes it possible to correct a survey with GPS data after the fact for survey grade accuracy. Volume objects provide easy and accurate volume data for stock piles and mining operations. Full geographic coordinate system support enables users to work in their local geographic coordinate system for better compatibility. Support is provided for multispectral images including Normalized Difference Vegetation Index (NDVI) surface models and ortho-mosaics for agriculture. An interface is provided for marking ground control points.