Abstract
Using Uncrewed Aerial vehicles (UAVs) to rapidly scan areas for potential unexploded ordnance (UXO) can provide an efficiency increase while minimizing detonation risks. We present a complete overview of how such mappings can be performed using scalar magnetometers, including initial sensor testing, time stamping validation, data positioning, noise removal, and source model inversion. A test survey was performed across disarmed UXO targets, during which three scalar magnetometers were towed in an airframe (“bird”) 10 m below a small (<25 kg) high speed (∼10 m/s) UAV to avoid magnetic disturbances from the UAV itself. Data were collected across ∼58 min of flight, with each sensor traversing ∼31.7 km to acquire dense data coverage across a 600 m × 100 m area. By using three individual magnetometers in the bird, UXO detection results across single-sensor data and several different multi-sensor configurations can be compared. The data obtained exhibited low apparent noise floors (on the order of tens of picoTesla) and retained a precision that enabled targeted modelling and removal of high-frequency noise with amplitudes of ±5 picoTesla. All of the different gradiometer configurations tested enabled recovery of most targets (including all major targets), although the horizontal configuration performed significantly worse in comparison.
Original language | English |
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Article number | 1134 |
Journal | Remote Sensing |
Volume | 14 |
Issue number | 5 |
Number of pages | 27 |
ISSN | 2072-4292 |
DOIs | |
Publication status | Published - 2022 |
Keywords
- Bird
- Detection
- Drone
- Gradiometer
- Inverse problem
- Inversion
- Magentic field amplitude
- Optically pumped magnetometer
- QTFM
- QuSpin
- Scalar magnetic
- Scalar magnetometer
- Total field
- UAV
- Uncrewed aerial vehicle
- Unexploded ordnance
- UXO