UAV-borne Mini Synthetic Aperture Radar with 0.15m Imaging Resolution for All-Day All-Weather Detection and Plug-and-Play Installation

This lightweight UAV-borne Synthetic Aperture Radar adopts independent FMCW and phased array radar technology, designed for industrial and inspection unmanned aerial platforms. With ultra-compact structure, the standard unit weight ranges from 2.65kg to 6kg, featuring low power consumption, universal mounting interface, plug-and-play installation, compatible with multi-rotor and fixed-wing industrial drones without platform modification.

Equipped with multi-band optional configuration including L, X, Ku band, the radar achieves optimal imaging resolution up to 0.15m. It integrates five core working modes: Strip Mapping for large-area rapid survey, Spotlight Mode for high-precision detailed detection, GMTI moving target tracking, wide-scan imaging, and InSAR interferometric measurement for millimeter-level ground deformation monitoring. It supports full-polarization imaging, and can be integrated with visible light and infrared payloads for synchronous multi-source data acquisition.

Different from optical and infrared imaging equipment, this microwave radar realizes all-day, all-weather detection capability. It works stably at night, heavy fog, rain, haze and low-visibility conditions. The L-band model features vegetation and thin sand penetration performance, capable of detecting concealed targets under foliage camouflage. Designed with wide-temperature industrial adaptability, it operates steadily within -40℃ to 55℃ harsh field environments.

Built-in high-speed airborne processing unit and high-precision inertial navigation fusion algorithm eliminates image distortion caused by drone airflow jitter, realizing on-site real-time image output without post-ground data processing. Supported by self-developed imaging algorithm and AI intelligent interpretation system, it automatically identifies ground targets, monitors surface settlement, and compares image changes efficiently, greatly reducing manual interpretation workload.