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Photo interpretation at the U.S. National Photographic Interpretation Center during the Cuban Missile Crisis.. Aerial photographic and satellite image interpretation, or just image interpretation when in context, is the act of examining photographic images, particularly airborne and spaceborne, to identify objects and judging their significance. [1]
Photogrammetry is the science and technology of obtaining reliable information about physical objects and the environment through the process of recording, measuring and interpreting photographic images and patterns of electromagnetic radiant imagery and other phenomena.
Close Range Photogrammetry (CRP) can mean photographs taken from the ground with a handheld camera, or taken from a UAV/drone at a relatively low altitude. PhotoModeler and CRP are used for performing measurement and modeling in agriculture, archaeology, architecture, biology, engineering, fabrication, film production, forensics, mining ...
Unlike prior standards, the new standards are independent of scale and contour interval, they address higher levels of accuracies achievable by the latest technologies (e.g. unmanned aerial systems and lidar mobile mapping systems), and they provide enough flexibility to be applicable to future technologies as they are developed.
It is fast enough to respond to the monument’s immediate management needs. [34] The first operational phase is an accurate preparation of the photogrammetric surveying where is established the relation between best distance from the object, focal length, the ground sampling distance (GSD) and the sensor’s resolution.
IMAGINE Photogrammetry is significant because it is a leading commercial photogrammetry application that is used by numerous national mapping agencies, regional mapping authorities, various DOTs, [1] as well as commercial mapping firms. Aside from commercial and government applications, IMAGINE Photogrammetry is widely used in academic research.
Finally, we scale both images to the same approximate resolution and align the now horizontal epipoles for easier horizontal scanning for correspondences (row 4 of 2D image set). Note that it is possible to perform this and similar algorithms without having the camera parameter matrices M and M' . All that is required is a set of seven or more ...
IMAGINE Photogrammetry: Proprietary: Microsoft Windows: Standalone Semi-automatic Yes, multiple images Aerial, satellite, UAS Images 2009 Hexagon Geospatial Unknown Metashape (former PhotoScan) Proprietary: Linux, macOS, Microsoft Windows: Standalone Yes Yes, multiple images, cluster distributed processing Aerial, close-range, UAS, satellite