文献类型： 会议论文

第一作者： Jean Minet

作者： Jean Minet ¹ ; Jean Taboury ¹ ; Michel Pealat ² ; Nicolas Roux ² ; Jacques Lonnoy ² ; Yann Ferrec ³ ;

作者机构： 1.Laboratoire Charles Fabry, Institut d'Optique, Univ. Paris-Sud, CNRS, 2 avenue Augustin Fresnel,F-91127 Palaiseau cedex

2.Sagem – Groupe Safran – Etablissement de Massy – 178 rue de Paris –91344 Massy

3.ONERA/DOTA – Chemin de la Huniere – 91761 Palaiseau Cedex

关键词： Hyperspectral imaging;target detection;snapshot acquisition;band selection

会议名称： SPIE Conference on Electro-optical Remote Sensing, Photonic Technologies, and Applications

主办单位：

页码： 78350W:1-78350W:10

摘要： Hyperspectral imaging has proven its efficiency for target detection applications but the acquisition mode and the data rate are major issues when dealing with real-time detection applications. It can be useful to use snapshot spectral imagers able to acquire all the spectral channels simultaneously on a single image sensor. Such snapshot spectral imagers suffer from the lack of spectral resolution. It is then mandatory to carefully select the spectral content of the acquired image with respect to the proposed application. We present a novel approach of hyperspectral band selection for target detection which maximizes the contrast between the background and the target by proper optimization of positions and linewidths of a limited number of filters. Based on a set of tunable band-pass filters such as Fabry-Perot filters, the device should be able to adapt itself to the current scene and the target looked for. Simulations based on real hyperspectral images show that such snapshot imagers could compete well against hyperspectral imagers in terms of detection efficiency while allowing snapshot acquisition, and real-time detection.

分类号： N-532