本研究专注于水下成像与探测技术，利用主动电流场和阵列扫描技术提升成像性能。为解决传统静态电流场成像中分辨率低、覆盖范围小、信噪比差的问题，提出了动态电流场阵列扫描技术。通过动态调整阵列收发点的位置，实现高分辨率和大覆盖范围成像。本研究选用合适的成像算法，实现了对水下目标物体的清晰成像，并通过多次扫描数据的拼接和融合，有效滤除噪声，提升了图像的清晰度、准确性、信噪比及成像稳定性。动态扫描成像具有高灵活性和适应性，可根据实际情况调整收发极的位置，满足不同成像需求和环境变化。仿真实验探究了三种常规扫描方式的成像效果，并针对两种接收方式提出了补零融合和拼接两种成像方法，最后通过实验结果确定了适用于不同应用的最佳方案。本研究为水下成像与探测技术的发展提供了重要的理论支持与实验依据。

This study focuses on underwater imaging and detection technology, using active current field and array scanning technology to enhance imaging performance. In order to solve the problems of low resolution, small coverage and poor signal-to-noise ratio in traditional static current field imaging, the dynamic current field array scanning technology is proposed. By dynamically adjusting the position of the array transceiver point, high resolution and large coverage imaging is achieved. In this study, a suitable imaging algorithm is selected to achieve clear imaging of the underwater target object, and through the splicing and fusion of multiple scanning data, the noise is effectively filtered out to improve the clarity, accuracy, signal-to-noise ratio and imaging stability of the image. Dynamic scanning imaging has high flexibility and adaptability, and the position of the transceiver pole can be adjusted according to the actual situation to meet different imaging needs and environmental changes. Simulation experiments explore the imaging effect of three conventional scanning modes, and propose two imaging methods of complementary zero fusion and splicing for the two receiving modes, and finally determine the optimal scheme for different applications through the experimental results. This study provides important theoretical support and experimental basis for the development of underwater imaging and detection technology.

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国家自然科学基金项目（面上项目，重点项目，重大项目）