Blurring/Clutter Mitigation in Quarry Monitoring by Ground-Based Synthetic Aperture Radar

Ground-based synthetic aperture radar (GBSAR) systems are widely used for monitoring slopes, especially in quarries and open pits. Unfortunately, the movement of the machinery (cranes, trucks, shovels, and excavators) in the radar field of view often prevents to correctly focus large circular sections of the radar images, producing a characteristic artifact, often named blurring. Therefore, the aim of this article is to propose both an acquisition modality and an image processing technique able to mitigate the blurring due to moving clutter. The proposed acquisition modality (named free-running or on-the-fly) allows to filter out the high-frequency clutter, which is often noticeable in GBSAR images, but it is not effective with low-frequency clutter caused by slow movement of machinery like heavy trucks or large cranes. For this reason, the authors propose even a suitable processing method that can be used in combination with high-frequency sampling. The application of these two methods has been proved to be very effective in realistic quarry scenario.

Automated summary

This article proposes an acquisition modality and image processing technique to mitigate blurring in GBSAR images caused by moving clutter. By filtering out high-frequency clutter and using high-frequency sampling, the authors have demonstrated the effectiveness of these methods in a realistic quarry scenario.