Modeling and Simulation of Very High Spatial Resolution UXOs and Landmines in a Hyperspectral Scene for UAV Survey

Bajić, Milan

doi:10.3390/rs13050837

Cited by 13 publications

(5 citation statements)

References 26 publications

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“…In the field of defense, multispectral images taken by UAVs are used to find landmines and unexploded ordnance [ 10 ]. This increases the safety of sappers since standard techniques for finding buried explosives are based on techniques from the mid-twentieth century.…”

Section: Related Workmentioning

confidence: 99%

“…For instance, in [ 14 ], thresholding, unsupervised classification iterative self-organizing data analysis technique (IsoData), supervised classification spectral angle mapper (SAM), mixture-tuned matched filtering and Fisher linear discriminant are used for the asphalt classification. Spectral angle mapping was used in [ 10 ] as well. Torti et al Cortesi et al [ 7 ] use a random-forest classifier to detect whether a given object floating on a river surface is plastic.…”

Section: Related Workmentioning

confidence: 99%

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Hyperspectral Imaging for Mobile Robot Navigation

Jakubczyk

Siemiątkowska

Więckowski

et al. 2022

Sensors

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The article presents the application of a hyperspectral camera in mobile robot navigation. Hyperspectral cameras are imaging systems that can capture a wide range of electromagnetic spectra. This feature allows them to detect a broader range of colors and features than traditional cameras and to perceive the environment more accurately. Several surface types, such as mud, can be challenging to detect using an RGB camera. In our system, the hyperspectral camera is used for ground recognition (e.g., grass, bumpy road, asphalt). Traditional global path planning methods take the shortest path length as the optimization objective. We propose an improved A* algorithm to generate the collision-free path. Semantic information makes it possible to plan a feasible and safe path in a complex off-road environment, taking traveling time as the optimization objective. We presented the results of the experiments for data collected in a natural environment. An important novelty of this paper is using a modified nearest neighbor method for hyperspectral data analysis and then using the data for path planning tasks in the same work. Using the nearest neighbor method allows us to adjust the robotic system much faster than using neural networks. As our system is continuously evolving, we intend to examine the performance of the vehicle on various road surfaces, which is why we sought to create a classification system that does not require a prolonged learning process. In our paper, we aimed to demonstrate that the incorporation of a hyperspectral camera can not only enhance route planning but also aid in the determination of parameters such as speed and acceleration.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Hyperspectral Imaging for Mobile Robot Navigation

Jakubczyk

Siemiątkowska

Więckowski

et al. 2022

Sensors

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show abstract

“…Using the UAV platform for measurement can cover a larger area with a higher efficiency, is easy to operate, and saves a large amount of labor cost. In addition, regarding working in some potentially dangerous areas, it has good security and can avoid causing greater losses [36].…”

Section: Introductionmentioning

confidence: 99%

Frequency Domain Electromagnetic System Based on Unmanned Aerial Vehicles Platform for Detecting Shallow Subsurface Targets

Xing

Zhang

2023

Remote Sensing

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Due to the advantages of being nondestructive, rapid, and convenient, the electromagnetic detection method has attracted growing interest in the field of shallow subsurface detection. With the rapid development of unmanned aerial vehicle (UAV) technology, the use of the UAV platform for measurement can not only improve work efficiency but also avoid the significant losses that may be caused by humans working in dangerous areas. Therefore, we propose a broadband frequency domain electromagnetic system AFEM-3 based on a UAV platform for shallow subsurface targets detection (within less than 2 m). The sensor head adopts a concentric planar coil structure with a high spatial resolution, and a bucking coil connected in reverse series with the transmitting coil is used to suppress the primary field at the receiving coil. We designed a transmitting module based on unipolar frequency multiplication sinusoidal pulse width modulation technology that can generate multi-frequency arbitrary combination transmitting waveforms with low total harmonic distortion. It can also be matched to a variety of different transmitter coils by using the same hardware circuit. In addition, the global navigation satellite system and inertial measurement unit are integrated on the sensor head. The measurement response value, position, and attitude information can be displayed in real-time through the host computer. Through the static experiment of a standard coil, we verified the consistency between the AFEM-3 system with the theory. The performance of the system was evaluated through field experiments. The experimental results show that the system can effectively detect multiple metal targets in shallow subsurface areas. For different metal targets, the AFEM-3 system can provide obvious frequency domain characteristics.

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“…UAV technology has developed rapidly in the past two decades and is now widely used in geological prospecting [1][2][3], remote sensing [4][5][6], unexploded ordnance (UXO) detection [7][8][9], and environmental monitoring [10][11][12]. Among these applications, UAV aeromagnetic surveys have emerged as a popular branch of airborne geophysical technology due to their convenient deployment, low cost, intelligence, and high precision.…”

Section: Introductionmentioning

confidence: 99%

Study on the Aeromagnetic System between Fixed-Wing UAV and Unmanned Helicopter

Liao

Lü

et al. 2023

Minerals

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Based on the CH-3 and WH-110A unmanned aerial vehicle (UAV) platforms, we independently developed aeromagnetic systems for fixed-wing UAVs (FUAV) and modified unmanned helicopters (MUH), respectively. These systems overcome key technological challenges in system integration, aeromagnetic compensation, and electromagnetic (EM) compatibility. We conducted a 1:100,000 aeromagnetic test using both systems in a tidal flat area in Jiangsu province, China. Both systems successfully completed 240 line km measurement lines and collected high-quality data with magnetic compensation accuracies of 0.01428 nT and 0.04690 nT, respectively. The dynamic noise was below 0.14 nT, accounting for 95.72% and 100% of the measurements. These results indicate that both systems offer high measurement accuracy, efficiency, low cost, convenience, and flexibility. We compared the two aeromagnetic systems based on their system parameters, integration modes, magnetic compensation methods and effects, and practical applications. By comprehensively analyzing their characteristics and application fields, we provide guidance for UAV-based aeromagnetic surveys in mineral exploration, basic geological survey and other related fields. And the FUAV and MUH aeromagnetic systems presented in this paper serve as a valuable reference for future research in this area.

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Modeling and Simulation of Very High Spatial Resolution UXOs and Landmines in a Hyperspectral Scene for UAV Survey

Cited by 13 publications

References 26 publications

Hyperspectral Imaging for Mobile Robot Navigation

Hyperspectral Imaging for Mobile Robot Navigation

Frequency Domain Electromagnetic System Based on Unmanned Aerial Vehicles Platform for Detecting Shallow Subsurface Targets

Study on the Aeromagnetic System between Fixed-Wing UAV and Unmanned Helicopter

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