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With the accelerated development of China's low-altitude economy, drone-based low-altitude operations are rapidly evolving towards lightweight, long-endurance, all-weather, and high-precision technologies. Small vertical take-off and landing (VTOL) fixed-wing drones, with their advantages of flexible deployment, high operational efficiency, and wide applicability, are gradually replacing traditional manual inspections and outdated aerial photography methods. They are widely used in remote sensing mapping, power grid maintenance, marine monitoring, geological security, and many other fields, becoming the core operational carrier of the low-altitude digital economy.

This project mainly involves the Xiamen Earthquake Bureau to monitor the deformation of active fault cracks. The Tianjing Yunhu C-band airborne SAR radar equipment will be used to conduct multiple orbit interferometry (D-InSAR) observations on a mountainous section of a fault zone in Xiamen.

Making high-end miniature synthetic aperture radar lighter, more affordable, and easier to deploy.

Suzhou Tianjing Yunhu Intelligent Technology Co., Ltd. specializes in the R&D and manufacturing of miniature SAR (airborne SAR) products and flight data services. After three years of dedicated development, the company has continuously improved its product innovation, technological iteration, and service upgrades, always prioritizing customer needs. While constantly launching new products, the company has officially expanded into a new business segment—SAR database services—to provide the industry with more professional and comprehensive SAR data solutions.

In synthetic aperture radar (SAR), the L-band has a frequency range of 1 GHz to 2 GHz and a wavelength of 15 to 30 cm, making it the longest wavelength band in radar. Therefore, compared to other bands, the L-band has stronger penetration and better environmental adaptability, giving it unique advantages in deep soil measurement and long-distance inspection. It is the preferred band for agricultural soil moisture monitoring, pipeline leakage detection, forestry surveys, and large-scale surface surveys.

The quality of synthetic aperture radar (SAR) images directly affects the effectiveness of subsequent applications such as target recognition and parameter inversion. But how can we accurately evaluate SAR image quality? Tianjing Yunhu mainly focuses on three aspects: point target analysis, focusing performance (corner reflectors), and signal-to-noise ratio.