• 제목/요약/키워드: radar monitoring

검색결과 271건 처리시간 0.025초

Satellite Radar Interferometry for Mine Subsidence Monitoring

  • Ge Linlin
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2005년도 Proceedings of Aisa-Pacific International Seminar on Geomatics
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    • pp.73-116
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    • 2005
  • [ $\blacksquare$ ] The integration of radar interferometry(InSAR), GIS and GPS can be used as an operational technology to monitor ground deformation due to underground mining, earthquakes, and so on, at sub-centimetre of mm level accuracy; $\blacksquare$ Operational procedures and tools have been developed and tested at UNSW; and $\blacksquare$ We are very keen to promote the technology together with you all.

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Antenna sensor skin for fatigue crack detection and monitoring

  • Deshmukh, Srikar;Xu, Xiang;Mohammad, Irshad;Huang, Haiying
    • Smart Structures and Systems
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    • 제8권1호
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    • pp.93-105
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    • 2011
  • This paper presents a flexible low-profile antenna sensor for fatigue crack detection and monitoring. The sensor was inspired by the sense of pain in bio-systems as a protection mechanism. Because the antenna sensor does not need wiring for power supply or data transmission, it is an ideal candidate as sensing elements for the implementation of engineering sensor skins with a dense sensor distribution. Based on the principle of microstrip patch antenna, the antenna sensor is essentially an electromagnetic cavity that radiates at certain resonant frequencies. By implementing a metallic structure as the ground plane of the antenna sensor, crack development in the metallic structure due to fatigue loading can be detected from the resonant frequency shift of the antenna sensor. A monostatic microwave radar system was developed to interrogate the antenna sensor remotely. Fabrication and characterization of the antenna sensor for crack monitoring as well as the implementation of the remote interrogation system are presented.

하천 홍수 위험 감시를 위한 다중센서 기반 하천 관측 기술 개발 (Development of Multi-Sensor based River Monitoring Technology for River Flood Risk surveillance)

  • 장봉주;정인택
    • 한국멀티미디어학회논문지
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    • 제23권11호
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    • pp.1372-1382
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    • 2020
  • This paper proposes a core technology for a micro river monitoring terminal device suitable for flood monitoring in small rivers and valleys. Our proposed device is basically equipped with a 77GHz radar, gyro and accelerometer sensors. To measure the flow velocity and water level, we proposed a signal processing technique that extracts pure water energy components from the observed Doppler velocity and reflection intensity from the radar. And to determine the stability of the river structure equipped with our device, we constantly monitor the displacement of the measured values of the gyro and accelerometer sensors. Experimental result verified that our method detects pure water energy in various river environments and distinguishes between flow velocity and water level well. And we verified that vibration and position change of structures can be determined through a gyro sensor. In future research, we will work to build a secure digital twin river network by lowering the cost of supplying RF-WAV devices. Also we expect our device to contribute to securing a preventive golden time in rivers.

The Potential of Sentinel-1 SAR Parameters in Monitoring Rice Paddy Phenological Stages in Gimhae, South Korea

  • Umutoniwase, Nawally;Lee, Seung-Kuk
    • 대한원격탐사학회지
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    • 제37권4호
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    • pp.789-802
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    • 2021
  • Synthetic Aperture Radar (SAR) at C-band is an ideal remote sensing system for crop monitoring owing to its short wavelength, which interacts with the upper parts of the crop canopy. This study evaluated the potential of dual polarimetric Sentinel-1 at C-band for monitoring rice phenology. Rice phenological variations occur in a short period. Hence, the short revisit time of Sentinel-1 SAR system can facilitate the tracking of short-term temporal morphological variations in rice crop growth. The sensitivity of SAR backscattering coefficients, backscattering ratio, and polarimetric decomposition parameters on rice phenological stages were investigated through a time-series analysis of 33 Sentinel-1 Single Look Complex images collected from 10th April to 25th October 2020 in Gimhae, South Korea. Based on the observed temporal variations in SAR parameters, we could identify and distinguish the phenological stages of the Gimhae rice growth cycle. The backscattering coefficient in VH polarisation and polarimetric decomposition parameters showed high sensitivity to rice growth. However, amongst SAR parameters estimated in this study, the VH backscattering coefficient realistically identifies all phenological stages, and its temporal variation patterns are preserved in both Sentinel-1A (S1A) and Sentinel-1B (S1B). Polarimetric decomposition parameters exhibited some offsets in successive acquisitions from S1A and S1B. Further studies with data collected from various incidence angles are crucial to determine the impact of different incidence angles on polarimetric decomposition parameters in rice paddy fields.

ACCURACY IMPROVEMENT OF LOBLOLLY PINE INVENTORY DATA USING MULTI SENSOR DATASETS

  • Kim, Jin-Woo;Kim, Jong-Hong;Sohn, Hong-Gyoo;Heo, Joon
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.590-593
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    • 2006
  • Timber inventory management includes to measure and update forest attributes, which is crucial information for private companies and public organizations in property assessment and environment monitoring. Field measurement would be accurate, but time-consuming and inefficient. For the reason, remote sensing technology has been an alternative to field measurement from an economic perspective. Among several sensors, LiDAR and Radar interferometry are known for their efficiency for forest monitoring because they are less influenced by weather and light conditions, and provide reasonably accurate vertical/horizontal measurement for a large area in a short period. For example, Shuttle Radar Topography Mission (SRTM) and National Elevation Dataset (NED) in the U.S. can provide tree height information and DSM. On the other hand, LiDAR DSM (the first return) and DEM (the last return) can also present tree height estimation. With respect to project site of loblolly pine plantation in Louisiana in the U.S., the accuracy of SRTM C-Band approach estimating tree height was assessed by the LiDAR approaches. In addition, SRTM X-Band and NED were also compared with the results. Plantation year in inventory GIS, which is directly related to forest age, is high correlated with the difference between SRTM C-Band and NED. As a byproduct, several stands of age mismatch could be recognized using an outlier detection algorithm, and optical satellite image (ETM+) were used to verify the mismatch. The findings of this study were (1) the confirmation of usefulness of the SRTM DSM for forest monitoring and (2) Multi-sensors- Radar, LiDAR, ETM+, MODIS can be used for accuracy improvement of forest inventory GIS altogether.

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SAR 영상을 이용한 선박탐지에 관한 연구 (Study on the Ship Detection Method Using SAR Imagery)

  • 권승준;신성웅
    • 대한공간정보학회지
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    • 제17권1호
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    • pp.131-139
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    • 2009
  • 기존의 육상레이더망을 이용한 선박모니터링 시스템(vessel monitoring system)의 경우는 선박을 탐지할 수 있는 범위가 제한적이기 때문에 지속적인 관리와 감시에 어려움이 있다. 본 논문에서는 이런 문제점을 극복하고, 광역의 지역에 대한 효율적인 영상정보의 수집과 기상조건에 상관없는 자료의 취득이 가능한 SAR 위성영상을 활용하여 해양모니터링을 위한 선박감시시스템의 핵심 부분이 될 수 있는 선박탐지에 관한 연구를 수행하고자 한다. 선박 탐지에 관한 연구는 크게 선박 대상체 자체를 탐지하는 알고리즘과 항행선박에 의해 발생되는 선형 항적(航跡)을 탐지하는 알고리즘으로 나눌 수 있는데, 본 연구에서는 선박 대상체 자체를 탐지하는 방법을 제안하고, 선박대상체의 위치와 항로를 파악하여 그 정확도를 일부 현장자료를 통해 검증하고자 한다. 1차 다항식 변환을 통해 입력영상을 기하보정하고 잡음제거를 위해 Wiener 필터를 사용한다. Otsu(1979)가 제안한 분산최대 2분할법을 통해 입력영상을 이진화시키고 레이블링 기법을 사용하여 영상화소들의 그룹을 재구성한다. 형태학적 필터링과 화소간 거리 클러스터링을 이용하여 선박후보대상체들을 빠르게 추출하고 중심좌표와 침로를 계산한다.

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Feasibility test on EDZ detection by using borehole radar survey

  • 조성준;김정호;손정술;김창렬;성낙훈
    • 한국지구물리탐사학회:학술대회논문집
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    • 한국지구물리탐사학회 2006년도 공동학술대회 논문집
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    • pp.239-244
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    • 2006
  • 현재 건설중인 한국원자력 연구소 내의 지하 처분 연구시설에서 발파에 의한 터널 굴착 중 발생하는 손상대를 모니터링 하기 위해 시추공 레이다 반사법 탐사를 수행하였다. 60m 길이의 진입 터널이 완성되고 끝단에 쉘터가 만들어진 뒤 쉘터로부터 길이 35 m의 수평 시추공을 뚫어 터널 굴착에 따른 손상대 모니터링을 위한 관측공으로 사용하였다. 시추공은 굴착터널로부터 5.5 m 떨어져 있으며, $2{\sim}4$일 간격으로 5회 실험을 실시하였다. 터널의 굴착에 따른 터널면에서의 반사가 가장 강력한 반사면으로 작용하였으며, 서로 다른 날짜의 자료의 비교를 통해 터널 굴착면에 인접한 반사면의 변화를 감지 하였으며 이는 균열대의 생성과 암반 강도의 저하에 의한 것으로 여겨 졌으며 손상대로 평가되었다.

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A Perspective on Radar Remote Sensing of Soil Moisture

  • Park, Sang-Eun
    • 대한원격탐사학회지
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    • 제27권6호
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    • pp.761-771
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    • 2011
  • The sensitivity of microwave scattering to the dielectric properties and the geometric structure of soil surfaces makes radar remote sensing a challenge for a wide range of environmental issues directly related to the condition of natural surfaces. Especially, the potential for retrieving soil moisture with a high spatial and/or temporal resolution represents a significant contribution to hydrological and ecological modeling. This paper aims to review the current state of the art in SAR technology and methodological issues towards the discovery of a new potential accurate monitoring of soil moisture changes. In this paper, important parameters or constraints significantly affect the sensitivity of the measurements to soil moisture, such as roughness statistics, spatial resolution, and local topography, are discussed to improve the applicability of SAR remote sensing techniques. This study particularly intends to discuss important notes for developing smart and reliable methods capable of retrieving geophysical information.

우주센터 기상 레이더 시스템에 관한 연구

  • 국봉재;오창열;이효근
    • 항공우주기술
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    • 제3권2호
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    • pp.133-140
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    • 2004
  • 대기의 기상 상태는 시, 공간적으로 매우 불규칙적으로 변화하여 경우에 따라서 위성 발사체에 치명적인 영향을 미치고 있다. 따라서 위성 발사체의 순조로운 발사를 위하여 기상 상태의 정확한 실시간 관측이 필수적이라 할 수 있다. 본 연구는 기상관측 시스템인 기상레이더의 일반적인 제원을 소개하며, 우주센터용으로 적합한 기상 레이더 시스템의 운용개념 및 요구특성을 송신출력, 안테나 이득, 빔 폭 및 최적 감지신호 등을 종합적으로 고려하여 분석하였다.

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Application of Ground Penetrating Radar (GPR) coupled with Convolutional Neural Network (CNN) for characterizing underground conditions

  • Dae-Hong Min;Hyung-Koo Yoon
    • Geomechanics and Engineering
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    • 제37권5호
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    • pp.467-474
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    • 2024
  • Monitoring and managing the condition of underground utilities is crucial for ground stability. This study aims to determine whether images obtained using ground penetrating radar (GPR) accurately reflect the characteristics of buried pipelines through image analysis. The investigation focuses on pipelines made from different materials, namely concrete and steel, with concrete pipes tested under various diameters to assess detectability under differing conditions. A total of 400 images are acquired at locations with pipelines, and for comparison, an additional 100 data points are collected from areas without pipelines. The study employs GPR at frequencies of 200 MHz and 600 MHz, and image analysis is performed using machine learning-based convolutional neural network (CNN) techniques. The analysis results demonstrate high classification reliability based on the training data, especially in distinguishing between pipes of the same material but of different diameters. The findings suggest that the integration of GPR and CNN algorithms can offer satisfactory performance in exploring the ground's interior characteristics.