• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Automatic target recognition XXIII >A Simulation Study of Target Detection Using Hyperspectral Data Analysis
【24h】

A Simulation Study of Target Detection Using Hyperspectral Data Analysis

机译：高光谱数据分析目标检测的仿真研究

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Target detection is difficult when the target is concealed or placed under ground or water. To detect and identify concealed objects from a distance, the analysis of the HyperSpectral Imaging (HSI) and Wideband (WB) data is studied. While the HSI analysis may render surface information about objects, the WB data can reveal information about inner layers of the object and its content. Two of the challenging issues with object identification using HSI are (ⅰ) computational complexity of the analysis and (ⅱ) signature mismatch. Here, the robust matched filter is emphasized for HSI processing. In addition, the wideband technology is utilized to provide more information about concealed target, and to support spectral processing for object uncovering more effectively. During simulation, electromagnetic waves and propagation areas are modeled. In fact, an object is modeled as different layers with different thicknesses. The existence of a target is estimated by the detection of spectral signatures relating to materials used in the target. In other words, the simultaneous presence of spectral signatures corresponding to the main materials of the target in the hyperspectral data helps detecting the target. The reflected higher frequency signals provide information about exterior layers of both an object and the background; in addition, the reflected lower frequency signals provide information about interior layers of the object. To identify different objects, the simulation is performed using HSI, and WB technology at different frequencies (MHz-GHz) and powers. Based on simulation, the proposed method can be a promising approach to detect targets.
机译：当目标物被隐藏或放置在地下或水下时，目标物检测将很困难。为了从远处检测和识别隐藏的物体，研究了高光谱成像（HSI）和宽带（WB）数据的分析。虽然HSI分析可以提供有关对象的表面信息，但是WB数据可以揭示有关对象的内层及其内容的信息。使用HSI进行对象识别的两个具有挑战性的问题是（ⅰ）分析的计算复杂性和（ⅱ）签名不匹配。在此，针对HSI处理强调了鲁棒的匹配滤波器。另外，宽带技术用于提供有关隐藏目标的更多信息，并支持更有效地发现物体的光谱处理。在仿真过程中，对电磁波和传播区域进行建模。实际上，对象被建模为具有不同厚度的不同层。通过检测与靶中使用的材料有关的光谱特征来估计靶的存在。换句话说，在高光谱数据中同时存在与靶标主要材料相对应的光谱特征有助于检测靶标。反射的高频信号提供有关对象和背景的外层的信息。另外，反射的低频信号提供有关物体内部层的信息。为了识别不同的对象，使用HSI和WB技术以不同的频率（MHz-GHz）和功率执行仿真。基于仿真，该方法可以作为一种有前景的目标检测方法。

著录项

  • 来源
    《Automatic target recognition XXIII》|2013年|874410.1-874410.13|共13页
  • 会议地点 Baltimore MD(US)
  • 作者

    E. Sharifahmadian; Y. Choi; S. Latifi;

  • 作者单位

    Center for Information and Communications Technology (CICT), Dept. of Electrical Computer Engineering, University of Nevada, Las Vegas,4505 S. Maryland Parkway Las Vegas, Nevada 89154-4026;

    Center for Information and Communications Technology (CICT), Dept. of Electrical Computer Engineering, University of Nevada, Las Vegas,4505 S. Maryland Parkway Las Vegas, Nevada 89154-4026;

    Center for Information and Communications Technology (CICT), Dept. of Electrical Computer Engineering, University of Nevada, Las Vegas,4505 S. Maryland Parkway Las Vegas, Nevada 89154-4026;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Hyperspectral Imaging; Modeling; Return loss; WideBand; Target detection;

    机译：高光谱成像；造型;回波损耗；宽带;目标检测;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号