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Photogrammetry is the applied scientific field that uses imagery to obtain three-dimensional (3D) measurements of surfaces and objects. In the context of geographic information science, this is generally taken to mean mapping of the earth's terrain and cultural features upon it, such as roads, buildings, and so on. The traditional product has been the paper topographic map, which shows both cultural features and contour lines that indicate elevation. A typical modern product is the digital elevation model (DEM), which is a regularly spaced array of terrain elevation values. DEMs are very often important data layers used for geographic information systems (GIS). Other mapping applications of photogrammetry include subterranean, extraterrestrial, and underwater mapping. Many important nontopographic applications also exist, including precise industrial metrology, biomechanics, medicine, mobile mapping, forensic investigation, virtual reality, and cultural heritage recording.

Photogrammetric Reconstruction

A photographic image is a two-dimensional (2D) perspective projection of the 3D world. As such, there is insufficient information in a single image to perform any 3D mapping. So, at least two overlapping images of the same scene are needed. To map a large area, several strips of overlapping (by about 60% of the image format size) images are acquired by fixed-wing aircraft or, in some instances, helicopter. Adjacent strips overlap by about 20% and constitute a block of images. Careful flight planning and navigation are needed to ensure the entire area of interest is imaged at the correct scale and overlap.

The underlying fundamental task of photogrammetry is to reconstruct the geometry of the acquired imagery. This is done from 2D measurements of the locations of points in the overlapping areas made with specialized equipment. These points must be distinct from their surroundings, but not all need have known ground coordinates. Some with known coordinates, called ground control points, are required, though. These serve to properly orient the data in the desired mapping coordinate system. The geometric reconstruction process is done mathematically by simultaneously solving the equations that model the perspective projection for all 2D point measurements in all images. The result is the known position and angular orientation of each image.

The number of required ground control points can be greatly reduced or, in principle, eliminated, thanks to direct sensor orientation. A system that integrates global positioning system (GPS) and inertial measurement unit (IMU) data can directly determine image position and orientation. It does so by optimally combining the satellite range data from the GPS with the aircraft acceleration and angular velocity data.

Imaging Media

The traditional medium has been photographic film captured with aerial cameras that are specially calibrated, which is necessary to determine the exact focal length and lens distortion parameters of the camera system so that mapping accuracy is maximized. The availability of film-scanning instruments allowed digital imagery to be used for image point measurement, which permits a great deal of automation, thanks to image processing techniques.

More recently, solid-state (i.e., digital) imaging systems have been developed for aerial photogrammetry. These have included frame, push-broom, and modular imaging geometry. In frame imaging, to which analog mapping cameras also belong, an area on the ground is captured simultaneously in one image, thanks to a 2D array of sensor elements (i.e., pixels). A push-broom sensor is a linear imaging device comprising one (or two) rows of pixels. So, only a single row (or two rows) of data is captured simultaneously; a full image is built by acquiring a series of these rows as the aircraft moves. In modular designs, a cluster of frame cameras, say four, simultaneously capture images that are combined to produce a larger digital image.

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