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dc.contributor.authorBoskovic, Dordije
dc.contributor.authorOrlandic, Milica
dc.contributor.authorJohansen, Tor Arne
dc.date.accessioned2021-01-18T11:05:18Z
dc.date.available2021-01-18T11:05:18Z
dc.date.created2020-10-20T10:31:07Z
dc.date.issued2020
dc.identifier.issn0141-9331
dc.identifier.urihttps://hdl.handle.net/11250/2723440
dc.description.abstractHyperspectral images obtained by imaging spectrometer contain a large data amount that requires techniques such as target detection for information extraction. The proposed multi-mode FPGA implementation combines matrix correlation and inversion matrix computations by using the Sherman-Morrison method to achieve real-time operation. The implementation supports Constrained Energy Minimization (CEM), Adjusted Spectral Matched Filter (ASMF) and modified Adaptive Cosine Estimator (ACE) detectors. The detection performance of the algorithms is evaluated using standard detection metrics. The proposed implementation has been realized on Zynq family SoCs and verified against the MATLAB reference software. The detection results for different fixed-point data types and target detection algorithms are reported. Finally, the proposed implementation is compared with state-of-the-art designs in terms of both throughput and resource utilization.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleA reconfigurable multi-mode implementation of hyperspectral target detection algorithmsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.volume78en_US
dc.source.journalMicroprocessors and microsystemsen_US
dc.identifier.doihttps://doi.org/10.1016/j.micpro.2020.103258
dc.identifier.cristin1840769
dc.relation.projectNorges forskningsråd: 223254en_US
dc.relation.projectNorges forskningsråd: 270959en_US
dc.description.localcode"© 2020. This is the authors’ accepted and refereed manuscript to the article. Locked until 5.9.2022 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ "en_US
cristin.ispublishedtrue
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cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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