Details

Autor(en) / Beteiligte

• Gonzalez, Santiago A. Rodriguez
• Shimoni, Michal
• Plaza, Javier
• Plaza, Antonio
• Renhorn, Ingmar
• Ahlberg, Jorgen

Titel

The Detection of Concealed Targets in Woodland Areas using Hyperspectral Imagery

Ist Teil von

• 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS), 2020, p.451-455

Ort / Verlag

IEEE

Erscheinungsjahr

2020

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE Xplore

Beschreibungen/Notizen

• 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.