@inproceedings{e23965f643fa456082ca4b22737bb708,
title = "The Detection of Concealed Targets in Woodland Areas using Hyperspectral Imagery",
abstract = "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.",
keywords = "Gradient Filter, Hyperspectral Imaging, Target Detection, VIS-NIR, Woodland",
author = "Gonzalez, \{Santiago A.Rodriguez\} and Michal Shimoni and Javier Plaza and Antonio Plaza and Ingmar Renhorn and Jorgen Ahlberg",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020 ; Conference date: 21-03-2020 Through 26-03-2020",
year = "2020",
month = mar,
doi = "10.1109/LAGIRS48042.2020.9165611",
language = "English",
series = "2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "451--455",
booktitle = "2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020 - Proceedings",
}