• Title/Summary/Keyword: Synthetic aperture radar

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Nonlinear Synthetic Aperture Radar using FMCW signal (FMCW 신호를 활용한 비선형 합성개구레이다)

  • Won-Ryeol Lee;Sun K. Hong
    • Journal of IKEEE
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    • v.28 no.3
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    • pp.465-468
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    • 2024
  • In this paper, we propose a synthetic aperture radar based on FMCW using a nonlinear radar platform. we construct a nonlinear radar platform with different transmit and receive frequencies using FMCW signals. The platform moves along a 1.5 m path to acquire second harmonics signals, implementing a nonlinear SAR (synthetic aperture radar). Multiple nonlinear targets were placed in an indoor multipath environment with linear objects to detect weak second harmonics. After undergoing the SAR focusing precess, a 2D hamming window was applied to enhance the focusing performance.

Detecting location of reinforcing bars in concrete using synthetic aperture radar method (합성개구 레이더법에 의한 콘크리트 내 철근위치 산정)

  • Park, Seok-Kyun
    • Proceedings of the Korea Concrete Institute Conference
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    • 2006.05a
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    • pp.602-605
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    • 2006
  • Locating reinforcing bars, in particular to know their accurate depths and horizontal distances, is very important in radar inspection of concrete structures. By the way, it is not easy for an accurate depth and horizontal distance estimation of reinforcing bars in concrete structures by the radar test. This problem can be solved by synthetic aperture radar method. To improve the vertical and horizontal resolution of reinforcing bars in concrete, synthetic aperture radar method was examined in this study.

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Improve object recognition using UWB SAR imaging with compressed sensing

  • Pham, The Hien;Hong, Ic-Pyo
    • Journal of IKEEE
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    • v.25 no.1
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    • pp.76-82
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    • 2021
  • In this paper, the compressed sensing basic pursuit denoise algorithm adopted to synthetic aperture radar imaging is investigated to improve the object recognition. From the incomplete data sets for image processing, the compressed sensing algorithm had been integrated to recover the data before the conventional back- projection algorithm was involved to obtain the synthetic aperture radar images. This method can lead to the reduction of measurement events while scanning the objects. An ultra-wideband radar scheme using a stripmap synthetic aperture radar algorithm was utilized to detect objects hidden behind the box. The Ultra-Wideband radar system with 3.1~4.8 GHz broadband and UWB antenna were implemented to transmit and receive signal data of two conductive cylinders located inside the paper box. The results confirmed that the images can be reconstructed by using a 30% randomly selected dataset without noticeable distortion compared to the images generated by full data using the conventional back-projection algorithm.

Current Trends of the Synthetic Aperture Radar (SAR) Satellite Development and Future Strategy for the High Resolution Wide Swath (HRWS) SAR Satellite Development (SAR(Synthetic Aperture Radar) 위성 개발현황 및 향후 HRWS(High Resolution Wide Swath) SAR 위성 개발전략)

  • Ko, Ungdai;Seo, Inho;Lee, Juyoung;Jeong, Hyunjae
    • Journal of Space Technology and Applications
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    • v.1 no.3
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    • pp.337-355
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    • 2021
  • This paper is made to suggest a future strategy for the Korean High Resolution Wide Swath Synthetic Aperture Radar (HRWS SAR) satellite development by surveying the current trends for the SAR satellite technologies. From the survey, the latest SAR technology trends are revealed of using Digital Beam-Forming (DBF), SCan-On-Receive (SCORE), Displaced Phase Center Antenna (DPCA), interferometry, and polarimetry for exploiting the SAR imagery. Based on the latest SAR technology trends and the foreign HRWS SAR development cases, the strategy for the future HRWS Korean SAR satellite development is suggested to develop the DPCA and SCORE technologies by using the KOrea Multi-Purpose SATellite-6 (KOMPSAT-6) which is going to launch in a few years, and consequently to develop the HRWS SAR satellites which can monitor the whole Earth at weekly intervals.

Technology Trend in Synthetic Aperture Radar (SAR) Imagery Analysis Tools (SAR(Synthetic Aperture Radar) 영상 분석도구 개발기술 동향)

  • Lee, Kangjin;Jeon, Seong-Gyeong;Seong, Seok-Yong;Kang, Ki-mook
    • Journal of Space Technology and Applications
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    • v.1 no.2
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    • pp.268-281
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    • 2021
  • Recently, the synthetic aperture radar (SAR) has been increasingly in demand due to its advantage of being able to observe desired points regardless of time and weather. To utilize SAR data, first of all, many pre-processing such as satellite orbit correction, radiometric calibration, multi-looking, and geocoding are required. For analysis of SAR imagery such as object detection, change detection, and DEM(Digital Elevation Model), additional processings are needed. These pre-processing and additional processes are very complex and require a lot of time and computational resources. In order to handle the SAR images easily, the institutions that use SAR images develop analysis tools and provide users. This paper introduces the function and characteristics of representative SAR imagery analysis tools.

ISAR Imaging of a Real Aircraft Using KOMSAR (KOMSAR를 이용한 실제 항공기 ISAR 영상 제작)

  • Kim, Kyung-Tae;Jeong, Ho-Ryung
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.18 no.7
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    • pp.717-722
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    • 2007
  • Inverse synthetic aperture radar(ISAR) images represent two-dimensional(2-D) spatial distribution of electromagnetic scattering phenomenology against a target. Hence, they are usually used in the areas of automatic target recognition (ATR) or non-cooperative target recognition(NCTR), identifying a target using radar in a long distance. This paper makes use of Korea Miniature Synthetic Aperture Radar(KOMSAR) to generate ISAR images of a real and maneuvering aircraft. The data obtained from KOMSAR are processed to eliminate phase errors due to motion of a target, with the use of entropy-based ISAR autofocusing technique. Results show that we can successfully obtain ISAR images of a real aircraft, and the success of experiments implies that a significant step toward ATR using radar has been established.

Technical Development Trend of International Synthetic Aperture Radar Satellite (외국 SAR 위성의 기술개발 동향)

  • Jeong, Ho-Ryung;Lim, Hyo-Suk
    • Current Industrial and Technological Trends in Aerospace
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    • v.7 no.2
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    • pp.25-32
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    • 2009
  • In this paper, the technical trends of the synthetic aperture radar (SAR) were studied by investigating the journals and conference associated with the advanced technology of SAR. SAR has been first demonstrated in 1950. The main objective of SAR development is to overcome the limitations of real aperture radars. From 1950, many new concepts and technologies for SAR system is suggested and realized by many international researchers and engineers. New concepts for future SAR systems represented in the recent conference have been rearranged and analyzed.

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Development a GB-SAR (I) : System Configuration and Interferometry (GB-SAR의 개발 (I) : 시스템 구성과 간섭기법)

  • Lee, Hoon-Yol;Sung, Nak-Hoon;Kim, Jung-Ho;Cho, Seong-Jun
    • Korean Journal of Remote Sensing
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    • v.23 no.4
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    • pp.237-245
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    • 2007
  • GB-SAR (Ground-Based Synthetic Aperture Radar) system is an imaging radar that obtains high resolution 2-D image through a synthetic aperture effect from the accurate linear-motion control of antenna on the ground. The highly versatile system configurations and accurate repeatability of GB-SAR operation allow one to accurately monitor the stability of surface scatterers with millimeter accuracy by SAR interferometry. In this paper we introduce the development of a GB-SAR system and show the possibilities of SAR polarimetry and interferometry such as DInSAR, Cross-Track InSAR, Delta-f InSAR, and PSInSAR.

A Novel 3-D Imaging Configuration Exploiting Synthetic Aperture Ladar

  • Guo, Liang;Huang, Yinli;Li, Xiaozhen;Zeng, Xiaodong;Tang, Yu;Xing, Mengdao
    • Current Optics and Photonics
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    • v.1 no.6
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    • pp.598-603
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    • 2017
  • Traditional three-dimensional (3-D) laser imaging systems are based on real aperture imaging technology, whose resolution decreases as the range increases. In this paper, we develop a novel 3-D imaging technique based on the synthetic aperture technology in which the imaging resolution is significantly improved and does not degrade with the increase of the range. We consider an imaging laser radar (ladar) system using the floodlight transmitting mode and multi-beam receiving mode. High 3-D imaging resolutions are achieved by matched filtering the linear frequency modulated (LFM) signals respectively in range, synthetic aperture along-track, and the real aperture across-track. In this paper, a novel 3-D imaging signal model is given first. Because of the motion during the transmission of a sweep, the Doppler shift induced by the continuous motion is taken into account. And then, a proper algorithm for the 3-D imaging geometry is given. Finally, simulation results validate the effectiveness of the proposed technique.

Web-based synthetic-aperture radar data management system and land cover classification

  • Dalwon Jang;Jaewon Lee;Jong-Seol Lee
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.7
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    • pp.1858-1872
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    • 2023
  • With the advance of radar technologies, the availability of synthetic aperture radar (SAR) images increases. To improve application of SAR images, a management system for SAR images is proposed in this paper. The system provides trainable land cover classification module and display of SAR images on the map. Users of the system can create their own classifier with their data, and obtain the classified results of newly captured SAR images by applying the classifier to the images. The classifier is based on convolutional neural network structure. Since there are differences among SAR images depending on capturing method and devices, a fixed classifier cannot cover all types of SAR land cover classification problems. Thus, it is adopted to create each user's classifier. In our experiments, it is shown that the module works well with two different SAR datasets. With this system, SAR data and land cover classification results are managed and easily displayed.