Stephan, Ch. and Palubinskas, Gintautas and Müller, Rupert (2005) Automatic extraction of runway structures in infrared remote sensing image sequences. In: Proc. of SPIE Conference Image and Signal Processing for Remote Sensing XI, pp. 1-10. Image and Signal Processing for Remote Sensing XI, Bruges, Belgium, 19-22 Sept. 2005.
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Todays flight safety, especially during aircraft landing approach to an airport, is often affected by adverse weather conditions. One of the promising technologies to increase the pilots situation awareness is the Enhanced and Synthetic Vision System (ESVS): the combination of sensor vision and synthetic vision systems. In this paper we present one aspect of the sensor vision system, an algorithm that is using only a sequence of infrared images to detect possible runway structures and obstacles on it during the aircraft landing approach. No additional information from database, INS or GPS is used at this processing stage. The algorithm generates several runway and obstacle hypotheses and the final decision in ESVS is taken in the further processing stage: fusion of radar and IR data hypotheses and synthetic vision data. The functionality of the algorithm was tested extensively during several flight campaigns with landing approaches to different German and European airports in 2003 and 2004.
|Document Type:||Conference or Workshop Item (Paper)|
|Title:||Automatic extraction of runway structures in infrared remote sensing image sequences|
|Journal or Publication Title:||Proc. of SPIE Conference Image and Signal Processing for Remote Sensing XI|
|Page Range:||pp. 1-10|
|Keywords:||Enhanced vision system, synthetic vision, forward looking imaging, object detection|
|Event Title:||Image and Signal Processing for Remote Sensing XI, Bruges, Belgium, 19-22 Sept. 2005|
|HGF - Research field:||Aeronautics, Space and Transport (old)|
|HGF - Program:||Space (old)|
|HGF - Program Themes:||W EO - Erdbeobachtung|
|DLR - Research area:||Space|
|DLR - Program:||W EO - Erdbeobachtung|
|DLR - Research theme (Project):||UNSPECIFIED|
|Institutes and Institutions:||Remote Sensing Technology Institute|
|Deposited By:||Cornelia Roehl|
|Deposited On:||16 Jan 2006|
|Last Modified:||14 Jan 2010 19:02|
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