Image processing in an enhanced and synthetic vision system

Rupert M. Mueller; Gintautas Palubinskas; Hans Gemperlein

doi:10.1117/12.474422

16 July 2002 Image processing in an enhanced and synthetic vision system

Rupert M. Mueller, Gintautas Palubinskas, Hans Gemperlein

Proceedings Volume 4713, Enhanced and Synthetic Vision 2002; (2002) https://doi.org/10.1117/12.474422
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

'Synthetic Vision' and 'Sensor Vision' complement to an ideal system for the pilot's situation awareness. To fuse these two data sets the sensor images are first segmented by a k-means algorithm and then features are extracted by blob analysis. These image features are compared with the features of the projected airport data using fuzzy logic in order to identify the runway in the sensor image and to improve the aircraft navigation data. This process is necessary due to inaccurate input data i.e. position and attitude of the aircraft. After identifying the runway, obstacles can be detected using the sensor image. The extracted information is presented to the pilot's display system and combined with the appropriate information from the MMW radar sensor in a subsequent fusion processor. A real time image processing procedure is discussed and demonstrated with IR measurements of a FLIR system during landing approaches.

Citation Download Citation

Rupert M. Mueller, Gintautas Palubinskas, and Hans Gemperlein "Image processing in an enhanced and synthetic vision system", Proc. SPIE 4713, Enhanced and Synthetic Vision 2002, (16 July 2002); https://doi.org/10.1117/12.474422

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