CEAS EuroGNC 2019
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Multi-Modal Image Processing Pipeline for a Reliable Emergency Landing Field Identification
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Andreas Klos |
Faculty of Mathematics and Computer Science, FernUniversität in Hagen, Germany | Jörg Lenhardt |
Faculty of Mathematics and Computer Science, FernUniversität in Hagen, Germany | Marius Klein |
Faculty of Mathematics and Computer Science, FernUniversität in Hagen, Germany | Wolfram Schiffmann |
Faculty of Mathematics and Computer Science, FernUniversität in Hagen, Germany |
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Abstract:
If the pilot of an aircraft is forced to perform an emergency landing, quick and reliable decisions regarding the flight path are necessary. Besides, it is not guaranteed that a published landing field is located within reach. In such a situation the selection of an appropriate emergency landing field denotes a crucial task for the pilot. The choice of a suitable emergency landing field influences the damage of the aircraft, the civil population, the crew as well as passengers on board. Based on public available geodata, we developed an application that automatically identifies emergency landing fields by an appropriate operation sequence of an image processing pipeline. Our approach is based on satellite imagery, rasterized road maps, and interpolated digital elevation models. The chosen image processing pipeline consists of eight consecutive steps. The results proved that our approach is capable of a reliable identification of appropriate emergency landing fields for a certain parametrization of the applied algorithms. The found emergency landing fields are stored in a MySQL database for fast access, even in the case of instrument meteorological conditions.
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Keywords: Image processing; Emergency landing field; Aviation; Elevation data processing; Satellite imagery processing |
View PDF CEAS-GNC-2019-072 |
Andreas Klos, Jörg Lenhardt, Marius Klein, Wolfram Schiffmann: Multi-Modal Image Processing Pipeline for a Reliable Emergency Landing Field Identification. Proceedings of the 2019 CEAS EuroGNC conference. Milan, Italy. April 2019. CEAS-GNC-2019-072.
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BibTeX entry:
@Incollection{CEAS-GNC-2019-072,
authors = {Klos, Andreas and Lenhardt, Jörg and Klein, Marius and Schiffmann, Wolfram},
title = {Multi-Modal Image Processing Pipeline for a Reliable Emergency Landing Field Identification},
booktitle = {Proceedings of the 2019 {CEAS EuroGNC} conference},
address = {Milan, Italy},
month = apr,
year = {2019},
note = {CEAS-GNC-2019-072}
}
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