Yu Li

National University of Defense Technology, Ch’ang-sha-shih, Hunan, China

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Publications (4)0 Total impact

  • [show abstract] [hide abstract]
    ABSTRACT: Aiming at the classification problem of Synthetic aperture radar (SAR) images, a classifier based on image intensity and structure is constructed. To overcome the disadvantages of conventional template matching algorithms, similarity between two images is calculated by Hausdorff function, which can handle the distortions and pixel perturbations. The function is then fed into Support vector machines to eventually accomplish the task of image classification. Experiment results corresponding to field and simulated data show that this method characterizes target structure information well.
    Image and Signal Processing (CISP), 2012 5th International Congress on; 01/2012
  • [show abstract] [hide abstract]
    ABSTRACT: High radiating efficiency of antenna is very crucial for GPR applications. However, the bow-tie antenna, which is widely used in impulse GPR, has very low radiating efficiency because remarkable energy fed into antenna is radiated as the form of end reflection. In this paper, we study how to design bow-tie antenna with high radiating efficiency for impulse GPR. We find that, if the bow-tie antenna is excited by a bipolar pulse, the radiation efficiency can be significantly improved by utilizing the energy in end reflections. And the improvement is implemented by optimizing the antenna length to superpose the main pulse with the end reflection of a radiated pulse.
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International; 01/2012
  • [show abstract] [hide abstract]
    ABSTRACT: Maximum average correlation height (MACH) filter is formulated by linearly combining the training data, which is statistically optimum and fairly robust to for finding targets in clutter when the Gaussian assumption holds. This paper proposes a nonlinear extension to the MACH filter by correntropy function which can induce a new feature space. Thus it is possible to construct linear filter equations in the new space, and the proposed filter has an improved performance due to the nonlinear relation between the feature space and input space. The algorithm is applied to synthetic aperture radar image recognition and exhibits better performance under peak-sidelobe-ratio (PSR) and receiver-operating-characteristic (ROC) criteria.
    Image and Signal Processing (CISP), 2012 5th International Congress on; 01/2012
  • [show abstract] [hide abstract]
    ABSTRACT: This paper firstly analyzes the property of the low frequency electromagnetic wave, which can penetrate many types of non-metallic materials, and the ability of Ultra-Wide Band (UWB) impulse signal which has high range resolution. Then the methods are discussed for conducting surveillance through walls, detecting and locating the moving persons behind the partitions. The schematic diagram of Through-Wall Detecting Radar (TWDR) and the models of moving target are shown and the principle of detecting the moving target is also provided with coherent superimposing technique on a range gate. Finally an algorithm for estimating the location of targets is given. The performance of TWDR is validated by the experiments of penetrating a wood block, a red brick wall and a reinforced concrete wall.
    Journal of Electronics (China) 04/2005; 22(3):241-247.

Publication Stats



  • 2005
    • National University of Defense Technology
      Ch’ang-sha-shih, Hunan, China