Fusion Framework of Remote Sensing and Electromagnetic Scattering Features of Drones for Monitoring Freighters

Highlights: What are the main findings? The quadcopter drone exhibits strong dynamic electromagnetic scattering characteristics, but its intuitive effect in remote sensing grayscale images is weak. The peak and average RCS values of UAV are higher than those of quadcopters, making them easier to distinguish in remote sensing grayscale images. What are the implications of the main findings? Grayscale imaging technology can be prioritized for capturing UAV, vessel, and freighter. Radar detection combined with remote sensing technology can be used to detect unmanned aerial vehicles with significant dynamic RCS features. Certain types of unmanned aerial vehicles (UAVs) represent convenient platforms for remote sensing observation as well as low-altitude targets that are themselves monitored by other devices. In order to study remote sensing grayscale and radar cross-section (RCS) in an example drone, we present a fusion framework based on remote sensing imaging and electromagnetic scattering calculations. The results indicate that the quadcopter drone shows weak visual effects in remote sensing grayscale images while exhibiting strong dynamic electromagnetic scattering features that can exceed 29.6815 dBm² fluctuations. The average and peak RCS of the example UAV are higher than those of the quadcopter in the given cases. The example freighter exhibits the most intuitive grayscale features and the largest RCS mean under the given observation conditions, with a peak of 51.6186 dBm². Compared to the UAV, the small boat with a sharp bow design has similar dimensions while exhibiting lower RCS features and intuitive remote sensing grayscale. Under cross-scale conditions, grayscale imaging is beneficial for monitoring UAVs, freighters, and other nearby boats. Dynamic RCS features and grayscale local magnification are suitable for locating and recognizing drones. The established approach is effective in learning remote sensing grayscale and electromagnetic scattering features of drones used for observing freighters.