UAV trials for multi-spectral imaging target detection and recognition in maritime environment
UAV trials for multi-spectral imaging target detection and recognition in maritime environment
dc.contributor.author | Hugo Miguel Silva | en |
dc.contributor.author | José Miguel Almeida | en |
dc.contributor.author | Flávio Moreira Lopes | en |
dc.contributor.author | Ribeiro,JP | en |
dc.contributor.author | Sara Costa Freitas | en |
dc.contributor.author | Guilherme Amaral Silva | en |
dc.contributor.author | Almeida,C | en |
dc.contributor.author | Alfredo Martins | en |
dc.contributor.author | Eduardo Silva | en |
dc.date.accessioned | 2018-01-10T15:27:07Z | |
dc.date.available | 2018-01-10T15:27:07Z | |
dc.date.issued | 2016 | en |
dc.description.abstract | This paper addresses the use of heterogeneous sensors for target detection and recognition in maritime environment. An Unmanned Aerial Vehicle payload was assembled using hyperspectral, infrared, electro-optical, AIS and INS information to collect synchronized sensor data with vessel ground-truth position for conducting air and sea trials. The data collected is used to develop automated robust methods for detect and recognize vessels based on their exogenous physical characteristics and their behaviour across time. Data Processing preliminary results are also presented. © 2016 IEEE. | en |
dc.identifier.uri | http://repositorio.inesctec.pt/handle/123456789/5883 | |
dc.identifier.uri | http://dx.doi.org/10.1109/oceans.2016.7761259 | en |
dc.language | eng | en |
dc.relation | 5570 | en |
dc.relation | 6261 | en |
dc.relation | 5429 | en |
dc.relation | 5473 | en |
dc.relation | 5471 | en |
dc.relation | 6651 | en |
dc.relation | 5962 | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.title | UAV trials for multi-spectral imaging target detection and recognition in maritime environment | en |
dc.type | conferenceObject | en |
dc.type | Publication | en |
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