@CONFERENCE\{IMM2003-02428,
    author       = "B. Karlsen and H. B. S{\o}rensen and J. Larsen and K. B. Jakobsen",
    title        = "{GPR} Detection of Buried Symmetrically Shaped Mine-like Objects using Selective Independent Component Analysis",
    year         = "2003",
    month        = "apr",
    keywords     = "{GPR} {ICA} stepped frequency landmine",
    pages        = "375-386",
    booktitle    = "Proceedings of the 2003 Detection and Remediation Technologies for Mines and Mine-Like Targets, AeroSense 2003",
    volume       = "5089",
    series       = "",
    editor       = "",
    publisher    = "SPIE",
    organization = "",
    address      = "Orlando {FL}",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/2428-full.html",
    abstract     = "This paper addresses the detection of mine-like objects in
stepped-frequency ground penetrating radar (SF-GPR) data as a
function of object size, object content, and burial depth. The
detection approach is based on a Selective Independent Component
Analysis (SICA). {SICA} provides an automatic ranking of components,
which enables the suppression of clutter, hence extraction of
components carrying mine information. The goal of the investigation
is to evaluate various time and frequency domain {ICA} approaches
based on {SICA}. Performance comparison is based on a series of
mine-like objects ranging from small-scale anti-personal (AP) mines
to large-scale anti-tank (AT) mines were designed. Large-scale
{SF-GPR} measurements on this series of mine-like objects buried in
soil were performed. The {SF-GPR} data was acquired using a wideband
monostatic bow-tie antenna operating in the frequency range
750 MHz- 3.0 GHz. The detection and clutter
reduction approaches based on {SICA} are successfully evaluated on
this {SF-GPR} dataset."
}