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.