Analysis of LWIR (8-13 /spl mu/m) hyperspectral data of military vehicles collected by a non-imaging sensor shows the potential of using imaging hyperspectrographs to locate and identify military vehicles. Spectral indices for soil, limestone, and vehicles are derived from in-scene data. These indices are then applied to other data sets to locate vehicles in sand and vegetation. This method consistently locates the vehicles, day or night, regardless of thermal contrast with the surroundings. Although these indices are robust, the results show that the sensor's Signal-to-Noise Ratio (SNR) of more than 1000 is barely adequate. Higher SNR will be required to accurately locate military vehicles with a low number of false alarms. An imaging LWIR hyperspectrograph is under construction to further research this area.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Airborne LWIR hyperspectral measurements of military vehicles


    Contributors:


    Publication date :

    1996-01-01


    Size :

    2538224 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Airborne LWIR Hyperspectral Measurements of Military Vehicles

    Bongiovi, R. P. / Hackwell, J. A. / Hayhurst, T. L. et al. | British Library Conference Proceedings | 1996


    Dual band (MWIR/LWIR) hyperspectral imager

    Hinnrichs, M. / Gupta, N. / Goldberg, A. | IEEE | 2003


    Dual Band (MWIR/LWIR) Hyperspectral Imager

    Hinnrichs, M. / Gupta, N. / Goldberg, A. | British Library Conference Proceedings | 2004


    LWIR Hyperspectral and Multispectral Scene Simulation of Mars

    Richtsmeier, S. | British Library Conference Proceedings | 2006


    Video-rate Visible to LWIR Hyperspectral Imaging and Image Exploitation

    Dombrowski, M. / Bajaj, J. / Willson, P. | British Library Conference Proceedings | 2002