Airborne tracking and identification (ID) of high value ground targets is a difficult task impacted by sensor, target, and environmental conditions. Layered sensing, using a combination of standoff and short-range sensors, maintains target track and identification in cluttered environments such as cities or densely vegetated areas through sensor diversity. Data, feature, decision, or information fusion is necessary for high confidence target classification to be achieved using multiple sensors and sensor modalities. Target identification performance is improved by exploiting the extra information gained from independent sensing modalities through information fusion for automatic target recognition (ATR). Increased target ID has been demonstrated using spatial-temporal multi-look sensor fusion and decision level fusion. To further enhance target ID performance and increase decision confidence, feature level fusion techniques are being investigated. A fusion performance model for feature level fusion was applied to a combination of sensor types and features to provide estimates of a fusion gain. This paper presents a fusion performance gain for Synthetic Aperture Radar (SAR), electro-optical (EO), and infrared (IR) video stationary target identification.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Predicted radar/optical feature fusion gains for target identification


    Contributors:
    Kahler, B (author) / Blasch, E (author)


    Publication date :

    2010-07-01


    Size :

    2790444 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





    Wavelet for Radar Target Identification

    Kritikos, H. N. / Electromagnetics Academy / United States; National Aeronautics and Space Administration et al. | British Library Conference Proceedings | 1993


    Target identification from radar signatures

    Strattan, R.D. | Tema Archive | 1978


    Radar Image Processing and AIS Target Fusion

    F. Heymann / P. Banys / C. Saez | DOAJ | 2015

    Free access