Unmanned Aerial Vehicle (UAV) Robot Microwave Imaging Based on Multi-Path Scattering Model

Area of Science:

• Remote Sensing
• Microwave Imaging
• Robotics

Background:

• Unmanned Aerial Vehicle (UAV) robots are increasingly used for imaging, but microwave imaging systems are less explored, especially using satellite signals.
• Existing microwave imaging systems on UAVs are often active, requiring dedicated transmitters, which increases payload weight.
• The use of satellite-transmitted signals for UAV-based microwave imaging offers a passive, weight-efficient alternative.

Purpose of the Study:

• To propose a multi-path scattering model for vegetation on the Earth's surface.
• To develop a microwave imaging algorithm for UAV robots receiving satellite-transmitted scattering data.
• To analyze the impact of varying zenith angles on imaging resolution.

Main Methods:

• Development of a multi-path scattering model specific to vegetation.
• Implementation of a microwave imaging algorithm using data received by a UAV robot.
• Image reconstruction based on the multi-path model and satellite-based signal reception.
• Analysis of imaging results with a focus on the effect of changing zenith angles.

Main Results:

• A multi-path scattering model for vegetation was successfully proposed.
• Microwave images were reconstructed using the developed algorithm and model.
• The study confirmed that the change in zenith angle significantly impacts imaging resolution.
• The combination of scattering models and image processing aids in understanding vegetation's multi-path scattering mechanisms.

Conclusions:

• The proposed method provides a viable approach for UAV robot microwave imaging using satellite signals.
• This technique reduces the need for heavy onboard transmitters, making it suitable for UAV applications.
• The findings offer valuable insights for developing networked UAV microwave imaging systems leveraging satellite transmissions.