17 August 1994 Digital photogrammetric assembly line (DPA) point determination using airborne three-line camera imagery: practical results
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Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182845
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany
Abstract
A brief review of the development of digital, optoelectronic pushbroom cameras from Messerschmitt-Bolkow-Blohm GmbH (MBB), now Deutsche Aerospace AG (DASA), is followed by a closer description of the three-line scanner system for photogrammetric, three- dimensional object reconstruction form aircraft or space vehicles. The functional principle of such a camera is explained and the digital airborne image recording and evaluation system DPA (digital photogrammetric assembly) based thereon is described. The DPA airborne imaging segment consists of a stereo module and a spectral module. The stereo module is a wide-angle optoelectronic three-line camera allowing for inflight stereo image recording. The spectral module is composed of four lenses with selectable filters. An inertial measurement unit (IMU) is directly fixed to the DPA camera and registers the accelerations and angular movements of the camera synchronously with the image data. At the end of 1992 a proof of function of the stereo module was performed. A flight over a test area with marked object points was carried out. The promising results of the investigations are presented.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Franz Mueller, Franz Mueller, Otto Hofmann, Otto Hofmann, Anton Kaltenecker, Anton Kaltenecker, } "Digital photogrammetric assembly line (DPA) point determination using airborne three-line camera imagery: practical results", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); doi: 10.1117/12.182845; https://doi.org/10.1117/12.182845
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