CFAR based morphological filter design to remove clutter from GB‐SAR images: An application to real data

Toktaş, Abdurrahim; Yiğit, Enes; Sabancı, Kadir; Kayabaşı, Ahmet

doi:10.1002/mop.30803

Cited by 3 publications

(2 citation statements)

References 36 publications

(75 reference statements)

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“…In the literature, image multiplication was introduced for different goals such as clutter removal, multipath suppression, and artifact removal [46]- [48]. In [46], to eliminate artifacts, which are created during image reconstruction, two images from different view are multiplied to each other.…”

Section: E Modified 2-d Ssamentioning

confidence: 99%

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Clutter Removal of Near-Field UWB SAR Imaging for Pipeline Penetrating Radar

Akbarpour

Chamaani

Sachs

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Recently, ultrawideband (UWB) near-field synthetic aperture radar (SAR) imaging has been proposed for pipeline penetrating radar applications thanks to its capability in providing suitable resolution and penetration depth. Because of geometrical restrictions, there are many complicated sources of clutter in the pipe. However, this issue has not been investigated yet. In this article, we investigate some well-known clutter removal algorithms using full-wave simulated data and compare their results considering image quality, signal to clutter ratio and contrast. Among candidate algorithms, two-dimensional singular spectrum analysis (2-D SSA) shows a good potential to improve the signal to clutter ratio. However, basic 2-D SSA produces some artifacts in the image. Therefore, to mitigate this issue, we propose "modified 2-D SSA." After developing the suitable clutter removal algorithm, we propose a complete algorithm chain for pipeline imaging. An UWB nearfield SAR monitoring system including an UWB M-sequence sensor and automatic positioner are implemented and the image of drilled perforations in a concrete pipe mimicking oil well structure as a case study is reconstructed to test the proposed algorithm. Compared to the literature, a comprehensive near-field SAR imaging algorithm including new clutter removal is proposed and its performance is verified by obtaining high-quality images in experimental results.

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Section: E Modified 2-d Ssamentioning

confidence: 99%

“…In [47], to remove multipath in through wall imaging applications, two sub aperture images multiplied to the original full aperture image. In [48], a Ground Base-SAR is used for foreign object detection, and the clutter is removed by multiplying reconstructed original image and a filtered image with some processing.…”

Section: E Modified 2-d Ssamentioning

confidence: 99%

Clutter Removal of Near-Field UWB SAR Imaging for Pipeline Penetrating Radar

Akbarpour

Chamaani

Sachs

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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A High-Efficiency Microstrip Antenna Pair with Similar Pi-Shaped Decoupling Structure for 3.5 GHz 5G Ultrathin Smartphones

Qiu

et al. 2022

International Journal of Antennas and Propagation

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In this paper, a low profile and high-efficiency decoupling antenna pair for multiunit smartphones is proposed using a similar π-shaped feed structure that can excite the dipole radiation mode of microstrip antenna. Ordinarily, symmetrical single-port T-shaped microstrip antennas can only excite monopole modes of bilateral radiation. This paper changes the vertical feeding microstrip structure into two oblique, similar π-shaped feeding structures. This oblique feeding structure can excite the dipole mode of unilateral radiation of the microstrip antenna. Using this method, the antenna design can be simplified, and the low-coupling independent radiation on both sides of the microstrip antenna can be freely controlled without the need for additional structures. Considering the ultra-thin characteristics of 5G smartphone devices, the parameters of the antenna are further optimized: the optimized antenna profile is only 3.7 mm. The measured results show that the 2 × 2 microstrip antenna pairs can effectively cover the 3.5 GHz band (3.4–3.6 GHz), with a coupling that varies from −16.14 dB to −11.01 dB and an efficiency that varies from 80% to 94.1%. The 8 × 8 MIMO smartphone antenna results show that the coupling varies from −20.1 dB to −12.17 dB, the efficiency varies from 79.72% to 93.7%, and the envelope correlation coefficient (ECC) is lower than 0.05. The microstrip antenna decoupling pair with a similar π-shaped feed structure proposed in this paper has high efficiency and low-profile characteristics have important application value in the decoupling design of 3.5 GHz 5G ultra-thin smartphone antennas.

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Clutter removal in millimeter wave GB-SAR images using OTSU’s thresholding method

Yiğit

Demirci

Özdemir

2022

International Journal of Engineering and Geosciences

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In this study, a filtering method based on the threshold value of normalized synthetic aperture radar (SAR) data is proposed to eliminate clutter in millimeter wave ground based synthetic aperture radar (GB-SAR) images. In the proposed method, first, stepped frequency continuous wave SAR data are reconstructed by using the back-projection algorithm and focused complex SAR data are obtained. Then, the amplitude values of the complex SAR data are normalized and the best threshold values to distinguish the target from clutter is determined by the OTSU's thresholding method. Next, a filter mask is created that cancels all data below the computed threshold values. The mask matrix is finally multiplied with the resulted GB-SAR data to eliminate all clutter from the image. With the proposed technique, the best threshold value is determined automatically by directly processing the raw data without converting the SAR data into any RGB images. The proposed technique is validated through real GB-SAR experiments that were carried out in the frequency band of 78-81 GHz. In the experiments, challenging GB-SAR data are obtained using high cluttered background materials, and very successful filtering operations are performed with the proposed technique.

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CFAR based morphological filter design to remove clutter from GB‐SAR images: An application to real data

Cited by 3 publications

References 36 publications

Clutter Removal of Near-Field UWB SAR Imaging for Pipeline Penetrating Radar

Clutter Removal of Near-Field UWB SAR Imaging for Pipeline Penetrating Radar

A High-Efficiency Microstrip Antenna Pair with Similar Pi-Shaped Decoupling Structure for 3.5 GHz 5G Ultrathin Smartphones

Clutter removal in millimeter wave GB-SAR images using OTSU’s thresholding method

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