Ultrawideband synthetic aperture radar landmine detection

作者：Jin, Tian^*; Zhou, Zhimin

来源：IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(11): 3561-3573.

DOI：10.1109/TGRS.2007.906138

• evidence framework
• fuzzy hypersphere support vector machine (FHSSVM)
• landmine
• space-wavenumber processing
• synthetic aperture radar (SAR)
• ultrawideband (UWB)

In this paper, we consider landmine detection using ultrawideband synthetic aperture radar, where the two main challenges are feature extraction and discriminator design. The space-wavenumber processing is proposed to retrieve the frequency- and,spect-angle-dependent scattering features of suspected objects. In,order to reduce the dimensionality of the input feature vector for discriminator, the sequential forward floating selection method is used to choose efficient features. Based on the obtained feature,vector, a fuzzy hypersphere support vector machine is designed to deal with the problem of detecting landmines in an unconstrained environment. The experimental results show that the proposed method can achieve a significant improvement in detection performance for antitank mines.

• 出版日期2007-11
• 单位中国人民解放军国防科学技术大学