Flight Performance Analysis of an Image Processing Algorithm for Integrated Sense-and-Avoid Systems
This paper is focused on the development and the flight performance analysis of an image-processing technique aimed at detecting flying obstacles in airborne panchromatic images. It was developed within the framework of a research project which aims at realizing a prototypical obstacle detection and...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2012/542165 |
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| _version_ | 1850221221684183040 |
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| author | Lidia Forlenza Giancarmine Fasano Domenico Accardo Antonio Moccia |
| author_facet | Lidia Forlenza Giancarmine Fasano Domenico Accardo Antonio Moccia |
| author_sort | Lidia Forlenza |
| collection | DOAJ |
| description | This paper is focused on the development and the flight performance analysis of an image-processing technique aimed at detecting flying obstacles in airborne panchromatic images. It was developed within the framework of a research project which aims at realizing a prototypical obstacle detection and identification System, characterized by a hierarchical multisensor configuration. This configuration comprises a radar, that is, the main sensor, and four electro-optical cameras. Cameras are used as auxiliary sensors to the radar, in order to increase intruder aircraft position measurement, in terms of accuracy and data rate. The paper thoroughly describes the selection and customization of the developed image-processing techniques in order to guarantee the best results in terms of detection range, missed detection rate, and false-alarm rate. Performance is evaluated on the basis of a large amount of images gathered during flight tests with an intruder aircraft. The improvement in terms of accuracy and data rate, compared with radar-only tracking, is quantitatively demonstrated. |
| format | Article |
| id | doaj-art-70bdbe142eb3478092eb770d242f225e |
| institution | OA Journals |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-70bdbe142eb3478092eb770d242f225e2025-08-20T02:06:47ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742012-01-01201210.1155/2012/542165542165Flight Performance Analysis of an Image Processing Algorithm for Integrated Sense-and-Avoid SystemsLidia Forlenza0Giancarmine Fasano1Domenico Accardo2Antonio Moccia3Department of Aerospace Engineering (DIAS), University of Naples “Federico II”, Piazzale Tecchio 80, 80125 Naples, ItalyDepartment of Aerospace Engineering (DIAS), University of Naples “Federico II”, Piazzale Tecchio 80, 80125 Naples, ItalyDepartment of Aerospace Engineering (DIAS), University of Naples “Federico II”, Piazzale Tecchio 80, 80125 Naples, ItalyDepartment of Aerospace Engineering (DIAS), University of Naples “Federico II”, Piazzale Tecchio 80, 80125 Naples, ItalyThis paper is focused on the development and the flight performance analysis of an image-processing technique aimed at detecting flying obstacles in airborne panchromatic images. It was developed within the framework of a research project which aims at realizing a prototypical obstacle detection and identification System, characterized by a hierarchical multisensor configuration. This configuration comprises a radar, that is, the main sensor, and four electro-optical cameras. Cameras are used as auxiliary sensors to the radar, in order to increase intruder aircraft position measurement, in terms of accuracy and data rate. The paper thoroughly describes the selection and customization of the developed image-processing techniques in order to guarantee the best results in terms of detection range, missed detection rate, and false-alarm rate. Performance is evaluated on the basis of a large amount of images gathered during flight tests with an intruder aircraft. The improvement in terms of accuracy and data rate, compared with radar-only tracking, is quantitatively demonstrated.http://dx.doi.org/10.1155/2012/542165 |
| spellingShingle | Lidia Forlenza Giancarmine Fasano Domenico Accardo Antonio Moccia Flight Performance Analysis of an Image Processing Algorithm for Integrated Sense-and-Avoid Systems International Journal of Aerospace Engineering |
| title | Flight Performance Analysis of an Image Processing Algorithm for Integrated Sense-and-Avoid Systems |
| title_full | Flight Performance Analysis of an Image Processing Algorithm for Integrated Sense-and-Avoid Systems |
| title_fullStr | Flight Performance Analysis of an Image Processing Algorithm for Integrated Sense-and-Avoid Systems |
| title_full_unstemmed | Flight Performance Analysis of an Image Processing Algorithm for Integrated Sense-and-Avoid Systems |
| title_short | Flight Performance Analysis of an Image Processing Algorithm for Integrated Sense-and-Avoid Systems |
| title_sort | flight performance analysis of an image processing algorithm for integrated sense and avoid systems |
| url | http://dx.doi.org/10.1155/2012/542165 |
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