• Title/Summary/Keyword: Radar Data

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Calculation of Optical Flow Vector Based on Weather Radar Images Using a Image Processing Technique (영상처리기법을 활용한 기상레이더 영상기반 광학흐름 벡터 산출에 관한 연구)

  • Mo, Sunjin;Gu, Ji-Young;Ryu, Geun-Hyeok
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.67-69
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    • 2021
  • Weather radar images can be used in a variety of ways because of their high visibility in terms of visuals. In other words it has the advantage of being able to grasp the flow of weather phenomena using not only the raw data of the weather radar, but also the change characteristics between consecutive images. In particular image processing techniques are gradually expanding in the field of meteorological research, and in the case of image data having high resolution such as weather radar images it is expected to produce useful information through a new approach called image processing techniques. In this study the weather phenomena flow was calculated as a vector from the change of the weather radar image according to time interval with the optical flow method, one of the image processing techniques. The characteristics of the weather phenomena to be analyzed were derived through vector analysis resolution suitable for the scale of weather, vector interpolation in regions where no radar echo exists, and the removal of relative flow vectors to distinguish the flow of specific weather and the entire atmosphere. Through this study, it is expected that not only the use of raw data of weather radar, but also the widening of the application area of weather radar, such as the use of unique characteristics of image data, and the active use of image processing techniques in the field of meteorology in the future.

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Naive Bayes Classifier based Anomalous Propagation Echo Identification using Class Imbalanced Data (클래스 불균형 데이터를 이용한 나이브 베이즈 분류기 기반의 이상전파에코 식별방법)

  • Lee, Hansoo;Kim, Sungshin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.6
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    • pp.1063-1068
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    • 2016
  • Anomalous propagation echo is a kind of abnormal radar signal occurred by irregularly refracted radar beam caused by temperature or humidity. The echo frequently appears in ground-based weather radar due to its observation principle and disturb weather forecasting process. In order to improve accuracy of weather forecasting, it is important to analyze radar data precisely. Therefore, there are several ongoing researches about identifying the anomalous propagation echo with data mining techniques. This paper conducts researches about implementation of classification method which can separate the anomalous propagation echo in the raw radar data using naive Bayes classifier with various kinds of observation results. Considering that collected data has a class imbalanced problem, this paper includes SMOTE method. It is confirmed that the fine classification results are derived by the suggested classifier with balanced dataset using actual appearance cases of the echo.

Measurement of Concrete Thickness at Different Frequency Ranges Using Radar (레이더의 주파수대역 변화에 따른 콘크리트 시편의 두께측정)

  • 김유석;임흥철
    • Proceedings of the Korea Concrete Institute Conference
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    • 1998.10b
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    • pp.773-778
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    • 1998
  • For imaging of concrete specimens using radar, the principles of radar, microwave, and the electromagnetic properties of concrete are discussed. Experimental data obtained from radar measurement of concrete specimens with no steel bars at three different frequency bandwidths of 2~3.4 GHz, 3.4~5.8 GHz and 8~12 GHz are processed to determine the thickness of the specimens. A signal processing scheme has been implemented to visualize the concrete specimens. The purpose of this study is to determine particular frequency range appropriate for measuring the thickness of concrete specimens using radar.

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Moving Clutter Signal Measurement and Its Spectral Analysis for Airborne Pulse Doppler Radar (비행 탑재 레이다의 이동 클러터 신호 수집 및 도플러 스팩트럼 특성 분석)

  • Jeun, In-Pyung;Choi, Min-Su;Hwang, Kwang-Yun;Kwag, Young-Kil
    • Proceedings of the IEEK Conference
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    • 2005.11a
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    • pp.439-442
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    • 2005
  • An airborne radar performance can be sensitive to the variation of the Doppler center frequency and the spectral spread of the ground clutter return due to the radar platform moving and aspect angle of the scanning beam to the target. In this paper, for the performance test of the airborne pulsed Doppler radar system developed, the high-speed radar data acquisition system is implemented for acquiring the raw radar signal in real-time. Based on the various test scenarios from airborne-platform to the moving platform, the various radar target and clutter signals are collected and their spectrum is analyzed for the verification of the radar performance in the real-time flight test environments.

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Analysis of Orbit Determination of the KARISMA Using Radar Tracking Data of a LEO Satellite (저궤도위성의 레이더 관측데이터를 이용한 KARISMA의 궤도결정 결과 분석)

  • Cho, Dong-Hyun;Kim, Hae-Dong
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.43 no.11
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    • pp.1016-1027
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    • 2015
  • In this paper, a orbit determination process was carried out based on KARISMA(KARI Collision Risk Management System) developed by KARI(Korea Aerospace Research Institute) to verify the orbit determination performance of this system, in which radar tracking data of a space debris was used. The real radar tracking data were obtained from TIRA(Tracking & Imaging Radar) system operated by GSOC(German Space Operation Center) for the KITSAT-3 finished satellite. And orbit determination error was approximately 60m compared to that of the GSOC's orbit determination result from the same radar tracking data. However, those results were influenced due to the insufficient information on the radar tracking data, such as error correction. To verify and confirm it, the error analysis was demonstrated and first observation data arc which has huge observation error was rejected. In this result, the orbit determination error was reduced such as approximately 25m. Therefore, if there are some observation data information such as error correction data, it is expected to improve the orbit determination accuracy.

INTERACTIONS WITH EDDIES IN THE UPSTREAM OF THE KUROSHIO AS SEEN BY THE HF RADAR AND ALTIMETRY DATA

  • Ichikawa, Kaoru;Tokeshi, Ryoko
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.969-972
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    • 2006
  • The long-range High-Frequency (HF) ocean radar system has observed surface velocity field in the upstream of the Kuroshio north of Ishigaki Island and east of Taiwan since 2001. Applying a new method to extract geostrophic velocity component from the HF surface velocity data with the aid of satellite-born wind data, time series of daily surface geostrophic velocity field has been determined. Despite limited width of the study area of the HF radar, analysis of the sea surface height anomaly determined from the satellite altimetry data in a wider area can provide estimated dates of arrival of mesoscale eddies in the study area of the HF radar. Variations of the Kuroshio position and strength are studied in detail for these cases of interaction with mesoscale eddy, although number of occurrence of direct interaction with the Kuroshio in the study area is not statistically enough. For example, when an anticyclonic eddy approaches to the Kuroshio, the Kuroshio axis is found tend to move northward, keeping away from the approaching eddy from the east.

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Risk Difference, Relative Risk, and Odds Ratio: A Graphic Approach (위험도차이, 상대위험률, 그리고 교차비:그래프 방법)

  • Cho Tae-Kyoung
    • The Korean Journal of Applied Statistics
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    • v.19 no.1
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    • pp.163-170
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    • 2006
  • The argument concerning the choice of effect measure for epidemiologic data or clinic data has been renewed. But the relationships among effect measures can be confusing if effect measures are expressed by conventional mathematical functions alone. In this article, risk difference(RD), relative risk(RR), and odds ratios(OR) for binary data are presented by radar diagram instead of mathematical functions and the relationships among them are showed using radar diagram. This radar diagram is offered flexible conceptual tool to understand effect measures, DR, RR, and OR for binary data.

A Multi Radar Fusion Algorithm for Reliable Maneuvering Target Tracking (신뢰성 있는 기동 항적 추적을 위한 다중 레이더 융합 알고리즘)

  • Cho, Tae-Hwan;Lee, Chang-Ho;Kim, Jin-Wook;Won, In-Su;Jo, Yun-Hyun;Park, Hyo-Dal;Choi, Sang-Bang
    • Journal of Advanced Navigation Technology
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    • v.15 no.4
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    • pp.487-494
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    • 2011
  • Data Fusion algorithm is essential in Target Detection using radar, and it has more reliability. In this paper, Multi Radar Fusion algorithm using IMM(Interacting Multiple Model) filter is suggested. This well-known IMM filter has better performance than Kalman filter has. In this simulation, Distributed Data Fusion process was applied, and three sub-filters and one main filter were employed. In addition, this simulation was evaluated by virtual radar data which include constant velocity, constant accelerate, turn rate. The result of an evaluation shows better performance in the maneuvering section of aircraft.

Respiration and Heartbeat detection algorithm using UWB radar (UWB 레이더를 사용한 호흡 및 심박 감지 알고리즘)

  • Le, Minhhuy;Hwang, Lan-mi;Fedotov, Dmitry
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.1
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    • pp.70-76
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    • 2019
  • Ultra Wideband (UWB) Radar is a high-resolution radar for short distance detection which uses signals transmitted and received by each antennas in order to detect a target. It is possible to detect the respiration and heartbeat of a person without contact It is getting more and more often utilized since it is not affected by physical environment. In this paper, we implement an algorithm to detect human respiration and heartbeat rate using UWB radar signal. We process radar signals reflected from human body using Median filter, Kalman filter, Band Pass filter and so on. We also use CZT to extract breathing and heart rate. ECG (Electrocardiogram) was used for comparison of heartbeat data and we confirm that each data of ECG and UWB Radar were more than 98% identical each other.

Ship Monitoring around the Ieodo Ocean Research Station Using FMCW Radar and AIS: November 23-30, 2013

  • Kim, Tae-Ho;Yang, Chan-Su
    • Korean Journal of Remote Sensing
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    • v.38 no.1
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    • pp.45-56
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    • 2022
  • The Ieodo Ocean Research Station (IORS) lies between the exclusive economic zone (EEZ) boundaries of Korea, Japan, and China. The geographical positioning of the IORS makes it ideal for monitoring ships in the area. In this study, we introduce ship monitoring results by Automatic Identification System (AIS) and the Broadband 3GTM radar, which has been developed for use in small ships using the Frequency Modulated Continuous Wave (FMCW) technique. AIS and FMCW radar data were collected at IORS from November 23th to 30th, 2013. The acquired FMCW radar data was converted to 2-D binary image format over pre-processing, including the internal and external noise filtering. The ship positions detected by FMCW radar images were passed into a tracking algorithm. We then compared the detection and tracking results from FMCW radar with AIS information and found that they were relatively well matched. Tracking performance is especially good when ships are across from each other. The results also show good monitoring capability for small fishing ships, even those not equipped with AIS or with a dysfunctional AIS.