The Detection of Concealed Targets in Woodland Areas using Hyperspectral ImageryShow others and affiliations
2020 (English)In: 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS), Santiago, Chile: IEEE , 2020, p. 451-455Conference paper, Published paper (Refereed)
Abstract [en]
Recent innovations in microelectronic and semiconductor technology enable the creation of smaller and economical hyperspectral cameras. A filter combined camera with advanced scanning module is a game changer that extends the application of miniature hyperspectral imagers to many security domains. This work presents the assessment of the imager L4 from Glana Sensors to detect concealed targets in woodland areas. Several target detection methods were applied to a collection of scenes acquired under various illumination conditions and containing different materials. The potential and limitations of this new imaging device in the context of difficult target detection in forested area are evaluated and discussed.
Place, publisher, year, edition, pages
Santiago, Chile: IEEE , 2020. p. 451-455
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-169928DOI: 10.1109/LAGIRS48042.2020.9165611ISI: 000626733300084ISBN: 9781728143507 (electronic)OAI: oai:DiVA.org:liu-169928DiVA, id: diva2:1470528
Conference
IEEE Latin American GRSS and ISPRS Remote Sensing Conference (LAGIRS), Santiago, CHILE, mar 21-26, 2020
Note
Funding Agencies|EOXPOSURE project under Horizon 2020 research and innovation program [734541]; Junta de Extremadura [Decreto 14/2018, GR18060]
2020-09-242020-09-242021-06-11