Aerial Magnetic Sensing With an Uav Helicopter

Eck, Christoph; Imbach, Benedikt

doi:10.5194/isprsarchives-xxxviii-1-c22-81-2011

Cited by 25 publications

(14 citation statements)

References 7 publications

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“…The field experiment showed that the UAV magnetic measurement system was able to clearly delineate the mineralization with finer sampling, higher resolution over the conventional aeromagnetic survey. Christoph Eck and Benedikt Imbachy [17] designed an aerial magnetic sensing scheme with the Scout B1-100 UAV helicopter and a three-axis magnetic sensor, which was applied in the humanitarian rescue. In [18], two Geometrics G-823A cesium vapor magnetometers, a computer, power supplies, differential GPS, IMU, and fluxgate magnetometer are mounted on the fixed-wing UAV, called Venturer, for the aeromagnetic surveying.…”

Section: Introductionmentioning

confidence: 99%

“…To date, considerable progress has been made in the integration and testing of the UAV-magnetometer system. Whether it is based on the fixed-wing UAV [17,18] or multi-rotor UAV [15,16,19], a single magnetometer [15][16][17] or multiple magnetometers [18], the UAV-magnetometer system shows excellent performance over the handheld and aeromagnetic devices. However, the research on the processing and interpretation of UAV magnetic data is quite rare and challenging because of the low quality of magnetic data and the lack of interpretation methods for the UAV-based magnetic survey.…”

Section: Introductionmentioning

confidence: 99%

“…That is not acceptable for the drones due to its general maximum flying height is tens of meters, where the background magnetic field is spatially non-uniform for the existence of geological and cultural sources. Now, a long rope or rod (3-5 m) is suspended below or in front of the drone platform in [15][16][17][18][19] to reduce the effects of the drone on the sensors. However, this long rod structure is prone to an unbalanced system and low flight stability, which is not an ideal solution.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Automatic Detection of Near-Surface Targets for Unmanned Aerial Vehicle (UAV) Magnetic Survey

Zhang

Xie

et al. 2020

Remote Sensing

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Great progress has been made in the integration of Unmanned Aerial Vehicle (UAV) magnetic measurement systems, but the interpretation of UAV magnetic data is facing serious challenges. This paper presents a complete workflow for the detection of the subsurface objects, like Unexploded Ordnance (UXO), by the UAV-borne magnetic survey. The elimination of interference field generated by the drone and an improved Euler deconvolution are emphasized. The quality of UAV magnetic data is limited by the UAV interference field. A compensation method based on the signal correlation is proposed to remove the UAV interference field, which lays the foundation for the subsequent interpretation of UAV magnetic data. An improved Euler deconvolution is developed to estimate the location of underground targets automatically, which is the combination of YOLOv3 (You Only Look Once version 3) and Euler deconvolution. YOLOv3 is a deep convolutional neural network (DCNN)-based image and video detector and it is applied in the context of magnetic survey for the first time, replacing the traditional sliding window. The improved algorithm is more satisfactory for the large-scale UAV-borne magnetic survey because of the simpler and faster workflow, compared with the traditional sliding window (SW)-based Euler method. The field test is conducted and the experimental results show that all procedures in the designed routine is reasonable and effective. The UAV interference field is suppressed significantly with root mean square error 0.5391 nT and the improved Euler deconvolution outperforms the SW Euler deconvolution in terms of positioning accuracy and reducing false targets.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Automatic Detection of Near-Surface Targets for Unmanned Aerial Vehicle (UAV) Magnetic Survey

Zhang

Xie

et al. 2020

Remote Sensing

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“…Unmanned aircraft systems (UAS) are increasingly used for small‐scale (<10 km 2 ) high‐resolution magnetic surveys in part because they offer reduced mobilization time and operating costs compared to traditional manned airborne surveys (Funaki and Hirasawa ; Eck and Imbach ; Koyama et al . ; Hashimoto et al .…”

Section: Introductionmentioning

confidence: 99%

Real‐time compensation of magnetic data acquired by a single‐rotor unmanned aircraft system

Tuck

Samson

Polowick

et al. 2019

Geophysical Prospecting

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Two methods for low‐altitude calibration of a single‐rotor unmanned aircraft system using a real‐time compensator are tested: (1) a stationary calibration where the unmanned aircraft system executes manoeuvres while hovering in order to minimize ambient field changes due to the local geology; and (2) an adapted box calibration flown in four orthogonal directions. Both methods use two compensator‐specific limits derived from established methods for manned airborne calibration: the lowest frequency used by the compensator for the calibration algorithm and the maximum variation of the ambient magnetic intensity experienced by the unmanned aircraft system during calibration. Prior to flying, the unmanned aircraft system was magnetically characterized using the heading error and fourth difference. Magnetic interference was mitigated by extending the magnetometer‐unmanned aircraft system separation distance to 1.7 m, shielding, and demagnetization. The stationary calibration yielded an improvement ratio of 8.595 and a standard deviation of the compensated total magnetic intensity of 0.075 nT (estimated Figure‐of‐Merit of 3.8 nT). The box calibration also yielded an improvement ratio of 3.989 and a standard deviation of the compensated total magnetic intensity of 0.083 nT (estimated Figure‐of‐Merit of 4.2 nT). The stationary and box calibration solutions were robust with low cross‐correlation indexes (1.090 and 1.048, respectively) when applied to a non‐native data set.

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“…Gold has information for prospection works [27][28][29]. Other airborne sensors, such as magnetic, have also extensively contributed to a more detailed surveying of ore deposits and structural analysis [30].…”

Section: Introductionmentioning

confidence: 99%

New Perspectives for UAV-Based Modelling the Roman Gold Mining Infrastructure in NW Spain

et al. 2018

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This contribution discusses the potential of UAV-assisted (unmanned aerial vehicles) photogrammetry for the study and preservation of mining heritage sites using the example of Roman gold mining infrastructure in northwestern Spain. The study area represents the largest gold area in Roman times and comprises 7 mining elements of interest that characterize the most representative examples of such ancient works. UAV technology provides a non-invasive procedure valuable for the acquisition of digital information in remote, difficult to access areas or under the risk of destruction. The proposed approach is a cost-effective, robust and rapid method for image processing in remote areas were no traditional surveying technologies are available. It is based on a combination of data provided by aerial orthoimage and LiDAR (Light Detection and Ranging) to improve the accuracy of UAV derived data. The results provide high-resolution orthomosaic, DEMs and 3D textured models that aim for the documentation of ancient mining scenarios, providing high-resolution digital information that improves the identification, description and interpretation of mining elements such as the hydraulic infrastructure, the presence of open-cast mines which exemplifies the different exploitation methods, and settlements. However, beyond the scientific and technical information provided by the data, the 3D documentation of ancient mining scenarios is a powerful tool for an effective and wider public diffusion ensuring the visualization, preservation and awareness over the importance and conservation of world mining heritage sites.been also established as a standard of value and currency since the world's first coinage in Lydia (643-630 BC) [5]. However, significant advances in ore deposits prospection and exploitation did not occur until the onset of the New Age. The systematic exploitation of gold ore deposits may have started during the period of Roman domination in the Mediterranean. According to recent archaeological findings in the mining site of Pino del Oro (Zamora), Sánchez-Palencia et al. [6] suggest that the earliest prospection works in northwest Spain started during pre-roman times. The northwest Iberian Peninsula represents the largest Roman gold mining prospect in the world, with the Las Médulas world-class site as one of the most remarkable gold mines due to its important landscape transformation [7][8][9]. In this area, more than 93.5 billion m 3 of Cenozoic sediments were removed by the Romans, recovering upon 5 t of gold [10]. Due to its archaeological and natural values, this site was declared a UNESCO World Heritage Centre in 1997, although recent works based on Airborne Laser Scanning Technology (ALS) suggests that it may not be the largest Roman goldmining site in terms of recovered gold quantities [11,12].Roman gold mining works in northwest Spain were active from the 1st until the 3rd centuries AC. After that period, little gold mining-related information is known, with only minor documented exploitations during the Middle A...

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Aerial Magnetic Sensing With an Uav Helicopter

Cited by 25 publications

References 7 publications

Automatic Detection of Near-Surface Targets for Unmanned Aerial Vehicle (UAV) Magnetic Survey

Automatic Detection of Near-Surface Targets for Unmanned Aerial Vehicle (UAV) Magnetic Survey

Real‐time compensation of magnetic data acquired by a single‐rotor unmanned aircraft system

New Perspectives for UAV-Based Modelling the Roman Gold Mining Infrastructure in NW Spain

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