Hyperspectral imaging is an important technology for the detection of surface and buried land mines from an airborne platform. For this reason, hyperspectral was included in the three experiments that were executed by the Army RDECOM CERDEC Night Vision and Electronic Sensors Directorate (NVESD) in Fall 2002, Spring 2003 and Summer 2004. The purpose of these experiments was to bring together a wide variety of airborne sensors for the detection of mines, with well ground-truthed targets. The hyperspectral sensors included the airborne hyperspectral imager (AHI), a University of Hawaii LWIR HSI sensor and the compact airborne spectral sensor (COMPASS), an NVESD VNIR/SWIR sensor. These experiments were carried out at sites where extensive arrays of buried and surface mines are deployed. The COMPASS and AHI sensors were both placed on the Twin Otter aircraft, and data was collected with the airplane at a variety of altitudes. In this paper, the data collected on surface mines are reviewed, and specific examples from each background type presented. Spectral detection algorithms are applied to the data and the results of the algorithm processing is presented.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    The application of hyperspectral sensors to the detection of land mines


    Contributors:

    Published in:

    Publication date :

    2005


    Size :

    5 Seiten, 4 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    6.0103 Detection of Land Mines Using Hyperspectral Sensors

    Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2003


    The Application of Hyperspectral Sensors to the Detection of Land Mines

    Winter, E. M. / IEEE | British Library Conference Proceedings | 2005



    Detection of buried land mines using a casi hyperspectral imager

    McFee, J.E. / Ripley, H.T. | Tema Archive | 1997


    Detection of Land Mines

    Online Contents | 1996