Evaluating 3D local descriptors for future LIDAR missiles with automatic target recognition capabilities

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dc.contributor.authorKechagias-Stamatis, Odysseas
dc.contributor.authorAouf, Nabil
dc.date.accessioned2017-08-31T10:39:32Z
dc.date.available2017-08-31T10:39:32Z
dc.date.issued2017-08-14
dc.description.abstractFuture light detection and ranging seeker missiles incorporating 3D automatic target recognition (ATR) capabilities can improve the missile’s effectiveness in complex battlefield environments. Considering the progress of local 3D descriptors in the computer vision domain, this paper evaluates a number of these on highly credible simulated air-to-ground missile engagement scenarios. The latter take into account numerous parameters that have not been investigated yet by the literature including variable missile – target range, 6-degrees-of-freedom missile motion and atmospheric disturbances. Additionally, the evaluation process utilizes our suggested 3D ATR architecture that compared to current pipelines involves more post-processing layers aiming at further enhancing 3D ATR performance. Our trials reveal that computer vision algorithms are appealing for missile-oriented 3D ATR.en_UK
dc.identifier.citationKechagias-Stamatis O, Aouf N (2017). Evaluating 3D local descriptors for future LIDAR missiles with automatic target recognition capabilities, Imaging Science Journal, Volume 65, Issue 7, pp 428-737en_UK
dc.identifier.urihttps://doi.org/10.1080/13682199.2017.1361665
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/12417
dc.language.isoenen_UK
dc.publisherTaylor and Francisen_UK
dc.titleEvaluating 3D local descriptors for future LIDAR missiles with automatic target recognition capabilitiesen_UK
dc.typeArticleen_UK

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