Integrating the near ground GPR technology, full-polarimetric array antenna technology, and common-middle-point (CMP) multiple coverage technology, we will develop the key techniques, which include hardware and signal processing technology, of GPR with near ground full-polarimetric CMP array antenna that will have the ablity to classify and identify the subsurface targets by multiple attributes..Firstly, introducing the CMP multiple coverage technology of seismic exploration into the full-polarimetric array antenna of GPR, we will develop the full-polarimetric CMP array antenna. Using the antenna, we can acquire multiple coverage both co-polarimetric and cross-polarimetric high quality signals at same measurement point. Secondly, based on the high quality signals we will develop polarimetric calibration techniques of near ground GPR for subsurface targets detection. The calibration techniques are the key technology of full-polarimetric GPR. Thirdly,depending on the calibrated signals, we will study the polarimetric decomposition technology and the amplitude variation of both co-polarimetric and cross-polarimetric signals, and develop the polarimetric analysis techniques of GPR. Using the analysis techniques, we can achieve the polarimetric attributes of targets. Lastly, integrating the polarimetric attributes and shape information acquired from 3D imaging of targets, we will develop the method to classify and identify targets by multiple attributes in multiple dimension..Subsurface environment is the key challenge for the novel full-polarimetric GPR. The project will develop key techniques to meet the challenge, and improve the detection ability of the novel full-polarimetric GPR.
融合离地探地雷达技术、全极化阵列天线技术及共中心点(CMP)多次覆盖技术,从阵列天线研制和信号处理两个方面研发新一代能多属性多维融合分类识别目标的离地全极化CMP阵列天线探地雷达的关键技术。.引入地震勘探的CMP多次覆盖技术,融入全极化阵列天线技术,研发能实现共极化和交叉极化同点多次覆盖的阵列天线观测技术,获取高质量的全极化探地雷达信号。在高质量信号的基础上,研发针对地下目标的离地探地雷达的极化校正技术,突破全极化技术引入探地雷达的关键瓶颈。在校正后信号的基础上,研究共极化与交叉极化信号振幅等的变化规律和雷达极化分解技术,发展适用于探地雷达的极化信息分析技术。融合高精度三维成像提取的位置及外形信息,和极化信息分析技术提取的极化参数,开展对目标进行多属性多维分析研究,对目标进行定量的分类识别。.本项目解决全极化融入探地雷达遇到的地下环境的独特问题,是突破新一代全极化探地雷达技术瓶颈的关键。
本项目研发了基于线状目标的适用于全极化阵列天线探地雷达的极化校正技术,提高了校正的可操作性。在校正后信号的基础上,研发了适用于全极化阵列天线探地雷达的极化分解技术,发展了pauli 分解和Freeman分解技术,并应用于实验数据,能较好的对目标体进行初步分类。
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数据更新时间:2023-05-31
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