一、概述：什么是地质雷达1. Overview: What is Ground Penetrating Radar

地质雷达（Ground Penetrating Radar，简称 GPR）是一种利用高频电磁波探测地下介质分布特征的无损探测地球物理方法。其基本原理是将高频电磁波以宽频带短脉冲形式由发射天线送入地下，电磁波在地下介质中传播时遇到存在电性差异的界面时发生反射，反射波被地面接收天线接收并记录，通过对反射波信号的处理与分析，反演出地下介质的结构信息。 Ground Penetrating Radar (GPR) is a non-destructive geophysical survey method that uses high-frequency electromagnetic waves to detect subsurface features. Its fundamental principle involves transmitting broadband short-pulse electromagnetic waves into the ground via a transmitting antenna. When these waves encounter interfaces with dielectric contrast between different subsurface materials, reflections occur. The reflected waves are captured by a receiving antenna at the surface and recorded. Through processing and analysis of the reflected signals, the subsurface structure can be inferred.

地质雷达技术起源于 20 世纪初的雷达技术。1926 年，Hülsmeyer 首次提出利用电磁波反射探测地下目标的设想。20 世纪 50 年代至 70 年代，随着电子技术和信号处理技术的发展，GPR 逐步从实验室走向工程应用。进入 21 世纪后，伴随着数字化采集系统、高速模数转换器和高性能天线的进步，地质雷达在分辨率、探测深度和数据处理自动化方面取得了显著突破，成为工程勘察、基础设施检测、考古和环境地质调查等领域不可或缺的技术手段。 GPR technology originated from early 20th-century radar developments. In 1926, Hülsmeyer first proposed using electromagnetic wave reflections to detect subsurface targets. During the 1950s–1970s, advances in electronics and signal processing enabled GPR to transition from laboratory research to field applications. In the 21st century, progress in digital acquisition systems, high-speed analog-to-digital converters, and high-performance antennas has led to significant improvements in resolution, penetration depth, and automated data processing, making GPR an indispensable tool in engineering surveys, infrastructure inspection, archaeology, and environmental geology.

二、工作原理2. Working Principle

2.1 电磁波反射原理2.1 Electromagnetic Wave Reflection Principle

地质雷达探测基于电磁波在不同介质中的传播与反射现象。电磁波在地下传播时，当遇到具有不同介电常数（ε_r）的介质交界面时，部分能量被反射回地面，部分能量继续透射进入下层介质。反射系数 R 取决于相邻两层介质的介电常数之比，其表达式为： GPR detection is based on the propagation and reflection of electromagnetic waves in different media. As EM waves propagate underground, when they encounter an interface between media with different relative permittivity (ε_r), part of the energy is reflected back to the surface while the remainder transmits into the deeper layer. The reflection coefficient R depends on the ratio of dielectric constants of adjacent layers:

其中 ε₁ 和 ε₂ 分别为上层与下层介质的相对介电常数。由公式可知，两层介质的介电常数差异越大，反射信号越强。例如，干燥土壤（ε_r ≈ 4）与湿砂（ε_r ≈ 25）的界面会产生较强的反射，而两种介电常数相近的材料之间的界面反射则很弱。这也是 GPR 在含水地层、空洞、金属管线等目标上具有高探测灵敏度的原因。 where ε₁ and ε₂ are the relative permittivities of the upper and lower layers, respectively. The formula shows that the greater the dielectric contrast between two layers, the stronger the reflected signal. For example, the interface between dry soil (ε_r ≈ 4) and wet sand (ε_r ≈ 25) produces a strong reflection, while interfaces between materials with similar dielectric constants produce weak reflections. This is why GPR has high detection sensitivity for targets such as water-bearing strata, voids, and metallic pipes.

2.2 时域反射原理与深度计算2.2 Time-Domain Reflectometry and Depth Calculation

地质雷达采用时域反射（Time-Domain Reflectometry, TDR）原理进行深度定位。系统记录电磁波从发射到被接收天线接收所经过的时间，即双程走时（t）。电磁波在介质中的传播速度 v 由介质的相对介电常数 ε_r 决定： GPR uses Time-Domain Reflectometry (TDR) for depth positioning. The system records the time elapsed from wave transmission to reception — the two-way travel time (t). The propagation velocity v of EM waves in a medium is determined by the medium’s relative permittivity ε_r:

其中 c 为真空中电磁波速度（约 3×10⁸ m/s），d 为反射界面深度。由公式可知，精确获取介质的介电常数是深度计算的关键。在实际应用中，介电常数可通过已知深度目标标定、钻孔对比或经验公式估算。例如，水的相对介电常数约为 81，电磁波在水中传播速度仅约 0.033 m/ns；而干燥土壤（ε_r ≈ 4）中波速约为 0.15 m/ns，差异显著。 where c is the speed of EM waves in vacuum (approximately 3×10⁸ m/s) and d is the depth of the reflecting interface. Accurate determination of the medium’s dielectric constant is critical for depth calculation. In practice, permittivity can be estimated through calibration with known-depth targets, borehole correlation, or empirical formulas. For example, water has a relative permittivity of about 81, with an EM wave velocity of approximately 0.033 m/ns in water, while in dry soil (ε_r ≈ 4) the velocity is about 0.15 m/ns — a significant difference.

2.3 探测模式2.3 Survey Modes

地质雷达常用的探测模式主要包括以下两种： GPR surveys commonly employ the following two modes:

• 剖面法（Common-Offset Mode）：发射天线与接收天线保持固定偏移距同步移动，沿测线采集连续剖面。该方法是最常用的 GPR 探测方式，适用于查找地下界面、管线、空洞等线状或层状目标。 Profile Mode (Common-Offset): The transmitter and receiver maintain a fixed offset distance while moving together along the survey line. This is the most commonly used GPR mode, suitable for detecting layer interfaces, pipelines, voids, and other linear or stratiform targets.
• 宽角法 / 共中心点法（CMP / WARR）：固定发射天线位置，移动接收天线（或反之），用于估算地下介质中电磁波传播速度，从而精确计算反射体深度。该方法常用于标定介电常数和波速。 Wide-Angle Reflection and Refraction (WARR) / Common Mid-Point (CMP): One antenna is held stationary while the other is moved (or vice versa). This mode is used to estimate the EM wave velocity in subsurface media, enabling accurate depth calculations. It is commonly used for calibrating dielectric constants and wave velocities.

三、系统组成3. System Components

一套完整的地质雷达系统通常由以下核心部件构成（参见图 2Figure 2）： A complete GPR system typically consists of the following core components (see 图 2Figure 2):

3.1 发射天线与接收天线3.1 Transmitting and Receiving Antennas

天线是 GPR 系统的核心部件，决定了雷达的工作频率和辐射特性。GPR 天线通常采用偶极天线、领结天线（Bowtie）或螺旋天线等形式，工作频率范围从 10 MHz 到 2.5 GHz 不等。低频天线穿透深度大但分辨率低，适合深层探测；高频天线分辨率高但探测深度浅，适合浅层精细探测。天线可分为屏蔽天线（减少空中干扰）和非屏蔽天线两种。 Antennas are the core components of a GPR system, determining the operating frequency and radiation characteristics. GPR antennas typically use dipole, bowtie, or spiral designs, with operating frequencies ranging from 10 MHz to 2.5 GHz. Low-frequency antennas offer greater penetration depth but lower resolution, suitable for deep surveys; high-frequency antennas provide higher resolution but shallower penetration, ideal for shallow fine-scale detection. Antennas are classified as shielded (reducing air interference) or unshielded.

3.2 控制单元3.2 Control Unit

控制单元是整个系统的中枢，负责产生精确的时序控制信号，协调发射机与接收机的工作同步。它生成触发脉冲控制发射机的脉冲重复频率（PRF），同时为接收机的采样电路提供精确的时基信号。现代 GPR 控制单元通常集成了 GPS 定位模块，实现测线轨迹与雷达数据的精确空间配准。 The control unit is the system’s hub, responsible for generating precise timing signals and coordinating the synchronization between the transmitter and receiver. It generates trigger pulses to control the transmitter’s pulse repetition frequency (PRF) and provides accurate timebase signals for the receiver’s sampling circuitry. Modern GPR control units typically integrate GPS modules for precise spatial registration of survey track and radar data.

3.3 数据采集与处理单元3.3 Data Acquisition and Processing Unit

接收天线将反射电磁波转换为电信号后，经低噪声前置放大器放大、滤波后送入高速模数转换器（ADC）进行数字化采样。GPR 系统通常采用等效时间采样（Equivalent-Time Sampling）技术，以极高等效采样率（数十 GHz）捕获纳秒级宽带脉冲信号。数字化后的数据传至现场处理终端（平板电脑或专用控制器），进行实时预处理和显示。 After the receiving antenna converts the reflected EM waves into electrical signals, they are amplified by a low-noise preamplifier, filtered, and fed into a high-speed analog-to-digital converter (ADC) for digital sampling. GPR systems typically employ equivalent-time sampling technology to capture nanosecond-level broadband pulse signals with ultra-high equivalent sampling rates (tens of GHz). The digitized data is transmitted to a field processing terminal (tablet or dedicated controller) for real-time preprocessing and display.

四、主要技术参数4. Key Technical Parameters

4.1 频率范围4.1 Frequency Range

天线中心频率是 GPR 系统最重要的参数之一，直接决定探测深度与分辨率。地质雷达天线频率范围跨度大，从数十 MHz 到数 GHz，不同频率适用于不同深度和精度要求的探测任务。下表（表1Table 1）列出了常用天线频率及其典型应用场景。 The antenna center frequency is one of the most critical GPR parameters, directly determining detection depth and resolution. GPR antenna frequencies span a wide range from tens of MHz to several GHz, with different frequencies suited for different depth and resolution requirements. The table below (表1Table 1) lists common antenna frequencies and their typical applications.

4.2 探测深度4.2 Penetration Depth

探测深度是 GPR 的关键性能指标，受天线频率、介质电导率和介电常数等多重因素影响。电磁波在地下传播时能量会逐渐衰减，衰减速率取决于介质的电导率——电导率越高，电磁波能量衰减越快，探测深度越浅。高电导率介质（如黏土、含盐水地层）对电磁波的吸收作用极强，严重限制 GPR 的有效探测深度。因此，在干燥、低电导率的环境中（如干燥砂土、花岗岩、冻土层），GPR 可探测数十米深度；而在黏土层或盐渍土地区，探测深度可能仅限于 1–2 米。 Penetration depth is a key performance metric of GPR, influenced by multiple factors including antenna frequency, medium conductivity, and dielectric constant. EM wave energy gradually attenuates during underground propagation, with the attenuation rate depending on the medium’s conductivity — higher conductivity leads to faster energy attenuation and shallower penetration. High-conductivity media (e.g., clay, saline water formations) strongly absorb EM waves, severely limiting the effective GPR depth. In dry, low-conductivity environments (e.g., dry sandy soil, granite, permafrost), GPR can achieve depths of tens of meters; in clay or saline soil areas, penetration may be limited to 1–2 meters.

4.3 分辨率4.3 Resolution

GPR 的分辨率分为垂直分辨率和水平分辨率。垂直分辨率（即纵向最小可分辨厚度）取决于脉冲波长，通常为波长的 1/4。水平分辨率则与天线波束宽度和 Fresnel 带有关。 GPR resolution is divided into vertical and horizontal resolution. Vertical resolution (the minimum resolvable thickness in the depth direction) depends on the pulse wavelength and is typically about 1/4 of the wavelength. Horizontal resolution relates to the antenna beamwidth and the Fresnel zone.

其中 λ 为波长，f 为天线频率，d 为目标深度。由公式可见，频率越高，垂直分辨率越好；但探测深度会相应降低。水平分辨率则随深度增加而下降。选择天线频率时需要综合权衡分辨率与探测深度的矛盾关系。 where λ is wavelength, f is antenna frequency, and d is target depth. The formula shows that higher frequency yields better vertical resolution but shallower penetration depth. Horizontal resolution degrades with increasing depth. Selecting antenna frequency requires balancing the trade-off between resolution and penetration depth.

4.4 常见介质介电特性4.4 Dielectric Properties of Common Materials

介质的相对介电常数（ε_r）和电导率（σ）是影响 GPR 探测效果的关键物性参数。了解常见地质和工程材料的介电特性有助于数据解释和深度估算（参见表2Table 2）。 The relative permittivity (ε_r) and conductivity (σ) of media are key physical parameters affecting GPR detection effectiveness. Understanding the dielectric properties of common geological and engineering materials aids in data interpretation and depth estimation (see 表2Table 2).

五、应用领域5. Application Fields

地质雷达以其无损、高效、高分辨率的特点，在众多领域得到广泛应用。以下按主要应用方向分别介绍。 With its non-destructive, efficient, and high-resolution characteristics, GPR is widely applied across numerous fields. The following sections introduce the major application areas.

5.1 工程地质勘察5.1 Engineering Geological Investigation

在工程地质勘察中，GPR 用于探测基岩埋深、覆盖层厚度、断层破碎带、地下水位界面以及不良地质体（如溶洞、软弱夹层）等。相比传统钻探方法，GPR 可快速获取连续的地下地质剖面信息，大幅减少钻孔数量，提高勘察效率。在隧道工程中，GPR 还被用于掘进面前方地质超前预报，提前识别含水构造和断层破碎带，降低施工风险。 In engineering geological investigation, GPR is used to detect bedrock depth, overburden thickness, fault zones, groundwater table interfaces, and adverse geological bodies (e.g., karst caves, weak interlayers). Compared to traditional drilling, GPR can rapidly acquire continuous subsurface geological profile data, significantly reducing the number of boreholes and improving survey efficiency. In tunnel engineering, GPR is also used for advance geological prediction ahead of the excavation face, providing early identification of water-bearing structures and fault zones to reduce construction risks.

5.2 道路与桥梁检测5.2 Road and Bridge Inspection

地质雷达是公路、机场跑道和桥梁结构无损检测的重要工具。在路面检测中，GPR 可测定路面结构层厚度、识别层间脱空（剥离）、检测路基含水量异常区。在桥梁检测中，高频 GPR 可探测混凝土内部的钢筋分布、保护层厚度以及空洞、蜂窝等缺陷。与钻芯取样相比，GPR 可实现大面积连续检测，不破坏路面结构。 GPR is a vital non-destructive testing tool for highways, airport runways, and bridge structures. In pavement inspection, GPR can measure structural layer thickness, identify interlayer delamination, and detect moisture anomalies in roadbeds. In bridge inspection, high-frequency GPR can detect rebar distribution, concrete cover thickness, and internal defects such as voids and honeycombs. Compared to core sampling, GPR enables large-area continuous inspection without damaging the pavement structure.

5.3 地下管线与设施探测5.3 Underground Utility Detection

在城市基础设施管理中，GPR 是地下管线（给水、排水、燃气、电力、通信）定位的重要手段。金属管线因强反射特性在雷达剖面上表现清晰；非金属管线（如 PVC、PE 管材）则通过管壁与周围土的介电差异形成可识别的反射异常。GPR 还可用于探测地下储罐、暗沟、人防工事等隐蔽设施。 In urban infrastructure management, GPR is an important method for locating underground utilities (water, sewer, gas, electric, telecommunications). Metallic pipes appear as clear reflections due to strong reflectivity; non-metallic pipes (e.g., PVC, PE) produce identifiable reflection anomalies through dielectric contrast with surrounding soil. GPR can also detect underground storage tanks, culverts, and civil defense structures.

5.4 考古探测5.4 Archaeological Exploration

考古学是 GPR 的重要应用领域之一。地质雷达可在不破坏遗址的前提下，探测墓葬结构、建筑基础、古道遗迹及文化层分布。高分辨率三维 GPR 成像技术能够清晰呈现地下考古目标的形态和空间关系，为考古发掘方案制定提供科学依据。在古建筑保护中，GPR 还可用于检测墙体内部结构和隐藏空腔。 Archaeology is one of the important application fields of GPR. Without disturbing the site, GPR can detect tomb structures, building foundations, ancient road remains, and cultural layer distributions. High-resolution 3D GPR imaging can clearly reveal the morphology and spatial relationships of underground archaeological targets, providing scientific evidence for excavation planning. In historic building preservation, GPR is also used to inspect internal wall structures and hidden cavities.

5.5 环境地质调查5.5 Environmental Geology

在环境地质领域，GPR 被用于探测地下水污染羽流范围、地下填埋场边界与渗滤液迁移路径、以及冻土层分布与季节冻融变化。此外，GPR 在冰川学研究中用于测量冰川厚度与内部结构，在行星探测领域也曾被搭载于火星探测器和月球着陆器上，用于探测地外天体次表层结构。 In environmental geology, GPR is used to detect the extent of groundwater contaminant plumes, landfill boundaries and leachate migration pathways, as well as permafrost distribution and seasonal freeze-thaw changes. Additionally, GPR is used in glaciology to measure glacier thickness and internal structure. In planetary exploration, GPR has been mounted on Mars rovers and lunar landers to probe the subsurface structure of extraterrestrial bodies.

六、数据处理与解释方法6. Data Processing and Interpretation Methods

GPR 原始数据通常包含多种噪声和干扰，需要经过系统性的数据处理流程才能提取有效信息并准确解释。标准的数据处理流程如图 3Figure 3所示。 Raw GPR data typically contains various noise and interference, requiring systematic data processing to extract valid information and achieve accurate interpretation. The standard processing workflow is shown in 图 3Figure 3.

6.1 预处理6.1 Preprocessing

• 直流分量去除（DC Removal）：消除每道信号中的直流偏移，使信号零线归正。 DC Removal: Eliminates the DC offset in each trace, zeroing the signal baseline.
• 时间零点校正：校正因天线耦合延迟引起的时间偏移。 Time-Zero Correction: Corrects time shifts caused by antenna coupling delays.
• 增益恢复（Gain Recovery）：补偿电磁波随深度增加的能量衰减，使深浅层反射能量趋于均衡。常用方法包括自动增益控制（AGC）和球面发散补偿。 Gain Recovery: Compensates for the energy attenuation of EM waves with increasing depth, balancing reflection amplitudes between shallow and deep layers. Common methods include Automatic Gain Control (AGC) and spherical divergence compensation.

6.2 滤波与去噪6.2 Filtering and Noise Removal

• 带通滤波：保留有效信号频段，抑制高低频噪声。 Bandpass Filtering: Retains the effective signal frequency band while suppressing high and low frequency noise.
• 陷波滤波（Notch Filter）：去除来自电台、高压线、手机基站的特定频率干扰。 Notch Filtering: Removes specific frequency interference from radio stations, power lines, or mobile base stations.
• F-K 滤波：在频率-波数域中分离有效信号与相干噪声（如地面直达波、空气波），有效去除空间相干干扰。 F-K Filtering: Separates valid signals from coherent noise (e.g., direct ground waves, air waves) in the frequency-wavenumber domain, effectively removing spatially coherent interference.

6.3 反褶积与偏移6.3 Deconvolution and Migration

反褶积（Deconvolution）通过压缩雷达子波、消除多次反射，提高数据的垂直分辨率。偏移归位（Migration）则是 GPR 数据处理中最重要的步骤之一，其原理是将记录的绕射波和倾斜反射归位到其真实的地下空间位置，消除绕射双曲线，使地下结构图像更加准确。常用的偏移方法包括 Kirchhoff 偏移、有限差分偏移和 Stolt 偏移（F-K 域偏移）。 Deconvolution improves vertical resolution by compressing the radar wavelet and eliminating multiple reflections. Migration is one of the most critical steps in GPR data processing. Its principle is to reposition recorded diffraction waves and dipping reflections to their true subsurface spatial locations, collapsing diffraction hyperbolae and producing more accurate subsurface structural images. Common migration methods include Kirchhoff migration, finite-difference migration, and Stolt migration (F-K domain migration).

6.4 数据解释6.4 Data Interpretation

GPR 数据解释是将处理后的雷达图像转化为地质或工程信息的过程。解释人员通过识别反射波的同相轴形态、振幅强弱、频率变化等特征，推断地下界面的几何形态、介质性质和异常体位置。典型反射特征包括：层状界面呈连续同相轴；空洞表现为双曲线反射；金属管线产生强振幅拱形反射。结合钻孔验证、地质资料和其他物探方法，可提高解释结果的可靠性。 GPR data interpretation is the process of transforming processed radar images into geological or engineering information. Interpreters infer the geometry, medium properties, and anomaly locations of subsurface interfaces by identifying reflection event patterns, amplitude strength, and frequency variations. Typical reflection signatures include: continuous events for stratiform interfaces, hyperbolic reflections for voids, and strong-amplitude arched reflections for metallic pipes. Combining with borehole verification, geological data, and other geophysical methods improves interpretation reliability.

七、优势与局限性7. Advantages and Limitations

地质雷达作为一种无损探测技术，具有显著优势，但也存在固有局限性。客观理解其适用条件与限制范围，对正确使用 GPR 技术至关重要。下表（表3Table 3）对两者进行了系统对比。 As a non-destructive detection technology, GPR has significant advantages but also inherent limitations. An objective understanding of its applicability and constraints is essential for proper use of the technology. The table below (表3Table 3) provides a systematic comparison.

八、发展趋势8. Development Trends

随着电子技术、计算机技术和人工智能的快速发展，地质雷达技术正经历深刻变革，主要趋势体现在以下方面： With the rapid development of electronics, computing, and artificial intelligence, GPR technology is undergoing profound transformation. Key trends include:

8.1 多频与多通道系统8.1 Multi-Frequency and Multi-Channel Systems

传统 GPR 通常使用单一频率天线，难以同时兼顾分辨率与探测深度。多频 GPR 系统将多个不同频率天线集成于一体，在一次测量中同时获取浅层高频和深层低频数据，兼顾分辨率与探测深度。多通道系统则可并行采集多条测线数据，大幅提高探测效率，为大面积三维成像提供数据基础。这类系统特别适用于道路路面多结构层检测和铁路路基连续检测。 Traditional GPR typically uses a single-frequency antenna, making it difficult to balance resolution and penetration depth. Multi-frequency GPR systems integrate multiple antennas of different frequencies into one unit, simultaneously acquiring shallow high-frequency and deep low-frequency data in a single pass. Multi-channel systems can acquire data from multiple survey lines in parallel, significantly improving efficiency and providing data for large-area 3D imaging. Such systems are particularly suitable for multi-layer pavement inspection and continuous railway roadbed detection.

8.2 三维 GPR 成像技术8.2 3D GPR Imaging Technology

三维 GPR 通过密集网格采集，结合三维偏移成像算法，重建地下结构的三维空间分布。与传统二维剖面相比，三维 GPR 能够更准确地刻画地下目标的几何形态和空间关系，减少解释多解性。随着多通道天线阵列和高性能计算技术的普及，三维 GPR 在考古遗址、管线网络和混凝土结构精细检测中的应用日益增多。 3D GPR reconstructs the three-dimensional spatial distribution of subsurface structures through dense grid data acquisition combined with 3D migration imaging algorithms. Compared to traditional 2D profiles, 3D GPR more accurately depicts the geometry and spatial relationships of underground targets, reducing interpretation ambiguity. With the proliferation of multi-channel antenna arrays and high-performance computing, 3D GPR is increasingly applied in archaeological sites, utility networks, and fine-scale concrete inspection.

8.3 人工智能辅助解释8.3 AI-Assisted Interpretation

深度学习技术在 GPR 数据解释中展现出巨大潜力。基于卷积神经网络（CNN）的目标检测模型可自动识别雷达剖面上的管线、空洞、脱空等典型异常特征；基于 U-Net 等语义分割网络的方法可实现地下结构界面的自动追踪。AI 技术的引入可减少人为解释偏差，提高数据处理效率，推动 GPR 从定性判读到定量识别的跃升。 Deep learning technology has shown great potential in GPR data interpretation. Target detection models based on Convolutional Neural Networks (CNN) can automatically identify typical anomaly features such as pipes, voids, and delaminations in radar profiles. Semantic segmentation methods using U-Net and similar architectures enable automatic tracking of subsurface interfaces. The introduction of AI reduces human interpretation bias, improves processing efficiency, and drives GPR from qualitative assessment to quantitative identification.

8.4 无人机载与车载 GPR8.4 Drone-Mounted and Vehicle-Mounted GPR

将 GPR 系统集成于无人机平台，可实现人员难以到达区域（如沼泽、冰川、地质灾害区）的快速探测。车载 GPR 系统配合高精度 GPS/INS 组合导航，可实现 100 km/h 以上速度的高速公路连续检测，大幅提高道路检测效率。超宽带（UWB）天线技术和紧凑型脉冲发生器的发展，使 GPR 设备进一步向小型化、轻量化方向迈进。 Integrating GPR systems onto drone platforms enables rapid surveys in areas inaccessible to personnel (e.g., marshlands, glaciers, geological disaster zones). Vehicle-mounted GPR systems paired with high-precision GPS/INS integrated navigation can achieve continuous highway inspection at speeds above 100 km/h, greatly improving road detection efficiency. The development of ultra-wideband (UWB) antenna technology and compact pulse generators is driving GPR equipment toward miniaturization and lightweight design.

8.5 多方法融合探测8.5 Multi-Method Fusion Detection

单一物探方法均有其局限性，多方法融合是地球物理探测的发展方向。GPR 与地震反射法、高密度电法（ERT）、瞬变电磁法（TEM）等方法的联合探测，可结合各方法的优势，提高地下结构探测的准确性和可靠性。例如，GPR 提供高分辨率浅层结构信息，ERT 补充深层电阻率分布，两者融合可实现从地表到数十米深度的综合探测。多传感器数据融合与联合反演技术正在成为研究热点。 Each geophysical method has its limitations, and multi-method fusion is the direction of geophysical exploration development. Joint surveys combining GPR with seismic reflection, Electrical Resistivity Tomography (ERT), and Transient Electromagnetic Method (TEM) can leverage the strengths of each method, improving the accuracy and reliability of subsurface structure detection. For example, GPR provides high-resolution shallow structural information while ERT supplements deeper resistivity distribution, and their fusion enables comprehensive detection from the surface to depths of tens of meters. Multi-sensor data fusion and joint inversion technology are becoming research frontiers.