Work

Single Channel Slow Moving Target Detection Method for Terahertz Video Synthetic Aperture Radar Based on Shadows and Spots

Year: 2026

Type: article

Abstract: Terahertz waves are located in the "transition zone" between millimeter waves and infrared light. Terahertz video synthetic aperture radar utilizes the high operating frequency, strong radar cross-section intensity, and high azimuth repetition frequency of terahertz waves to detect and track ground moving targets. The conventional methods for detecting moving targets do not take into account the imaging characteristics of moving targets in terahertz video synthetic aperture radar. The Constant False Alarm Rate (CFAR) detection method is used together with other methods to detect moving targets, resulting in unsatisfactory detection performance. This article proposes a new detection method for single channel slow-moving targets in terahertz video SAR based on shadows and light spots, which extracts the features of the shadow and spot areas of the moving target, and determines the position and direction of the moving target through the identification of the shadow and spot areas. The progressiveness of this method is verified by simulation and experimental tests.

Source: Remote Sensing

DOI: 10.3390/rs18040611

Authors: Xiaofan Li, Shuangxun Li, Bin Deng, Qiang Fu, Hongqiang Wang

Institutions: Huaihua University, National University of Defense Technology

Language: English

Topic: Advanced SAR Imaging Techniques

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,258

Funder: National Natural Science Foundation of China