Monitoring Concrete Oil-Wells with Qualitative Microwave Imaging

Alidoustaghdam, Hadi; Akıncı, Mehmet Nuri; Çayören, Mehmet; Dogu, Semih

doi:10.1109/mttw51045.2020.9245028

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…Microwave imaging is widely used in different applications such as non-destructive testing [1] and medical diagnostics and treatment. In the case of medical imaging, a clear example is breast cancer detection, where there are multiple benefits of using microwave imaging in terms of cost, patient's comfort, and safety when compared to current mammography techniques [2].…”

Section: Introductionmentioning

confidence: 99%

Preliminary phantom-based dynamic calibration techniques assessment for microwave colonoscopy systems

Garrido-Atienza¹,

Dghoughi²,

Robert

et al. 2022

2022 16th European Conference on Antennas and Propagation (EuCAP)

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Early detection and resection of colon polyp is the best way to reduce colorectal cancer (CRC) mortality. The current method for early detection is colonoscopy, which has a limited field of view, and its efficacy is highly dependant on the endoscopist's experience and colon preparation. This work presents a device for combining microwave imaging with optical colonoscopy. The challenges of this new microwave imaging system are presented, such as the unknown distance to the colon mucosa, which leads to undesired scattered fields and, the antenna size limitations. Four dynamic calibration techniques are proposed to remove the effects of the undefined distance from the imaging region to colon mucosa. These calibration methods are based on averaging the colonoscopy trajectory frames and subtracting the calibration set from the current frame. The phantom preliminary results show that these calibration methods completely delete the undesired scatter.

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Section: Introductionmentioning

confidence: 99%

Preliminary phantom-based dynamic calibration techniques assessment for microwave colonoscopy systems

Garrido-Atienza¹,

Dghoughi²,

Robert

et al. 2022

2022 16th European Conference on Antennas and Propagation (EuCAP)

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“…The antenna element of the structure is optimally designed such that the transmitter antenna operates in a wide range of frequency with high levels of matching. The proposed millimeter wave imaging system can have a large variety of applications such as nondestructive testing of structures [13][14][15][16], security [17][18][19][20][21], and medical image processing [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

A Broadband and Compact Millimeter-Wave Imaging System based on Synthetic Aperture Radar

Sepehripour¹,

Alavijeh²,

Fakharzadeh³

et al. 2022

Preprint

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In this paper, the design, realization, and demonstration of a broadband millimeter-wave imaging system based on the synthetic aperture radar technique (SAR) are discussed. The proposed system, operating within the frequency range of 25.3-30.8 GHz, consists of a tapered slot antenna as the transmitter and two halfcircle antennas as the receivers. The size of the antenna is 19.5 × 8 mm with a maximum gain of 8.5 dB. The transmitter and the receiver antennas are printed on the same board. This feature leads to a highly compact and flexible configuration, enabling the applicability of the proposed imaging system in the handheld devices. Furthermore, it significantly reduces the fabrication cost of the system. The proposed broadband imaging system, being capable of performing 3D real-time imaging with high resolutions, can be easily calibrated for each frequency within the desired range. By performing 3D imaging from metallic objects with different shapes, we experimentally demonstrate the high performance of the proposed system, which offers great potentialities for a broad range of applications such as security, medical diagnostic, concealed object detection, to name a few.

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“…Engineering geophysical technologies like threedimensional (3D) laser scanning or ground-penetrating radar have been utilized for tunnel structural damage detection. 10,11 For example, Jiang et al 12 proposed a tunnel 3D deformation measurement method based on a 3D laser scanner and processing algorithm for point cloud data. Xie et al 13 developed a 3D modeling algorithm for tunnel deformation monitoring using terrestrial laser scanning.…”

Section: Introductionmentioning

confidence: 99%

An integrated underwater structural multi-defects automatic identification and quantification framework for hydraulic tunnel via machine vision and deep learning

Bao

Huang

et al. 2022

Structural Health Monitoring

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Underwater structural defects in hydraulic tunnels are highly concealed and difficult to be identified by conventional manual methods. Remotely operated vehicle combined with visible light cameras can provide a noncontact and high spatial resolution damage detection solution. However, manually extracting useful structural damage-related information from massive data is time-consuming and involves high labor cost. This article proposes an integrated pixel-level underwater structural multi-defects instance segmentation and quantification framework for hydraulic tunnels via machine vision and deep learning. Firstly, a tunnel lining underwater structural multi-defects video dataset is developed. Next, an improved You Only Look At CoefficienTs for Edge devices is used to build the detector by exploiting temporal redundancy in videos. Three backbone detectors are used to trade off the balance between detection accuracy and efficiency, and a cross-domain transfer learning strategy is introduced to reduce model training costs and data dependencies. Various complicated tunnel underwater inspection scenarios, including uneven illumination, tilt shooting, high brightness, and motion blur scenarios, are used to evaluate model generalization capability. Experimental results show that ResNet50-based YolactEdge can well trade off the balance between accuracy and speed, which achieves 92.47 bbox mAP, 92.15 mask mAP, and 39.27 FPS in the testing set. A quantification evaluation method is proposed to quantify the detection results and extract the geometric features of structural defects based on digital image processing techniques. The proposed method can accurately identify the number, size, and area of tunnel underwater structural defects, providing data support for subsequent reinforcement.

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Monitoring Concrete Oil-Wells with Qualitative Microwave Imaging

Cited by 5 publications

References 14 publications

Preliminary phantom-based dynamic calibration techniques assessment for microwave colonoscopy systems

Preliminary phantom-based dynamic calibration techniques assessment for microwave colonoscopy systems

A Broadband and Compact Millimeter-Wave Imaging System based on Synthetic Aperture Radar

An integrated underwater structural multi-defects automatic identification and quantification framework for hydraulic tunnel via machine vision and deep learning

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