• Title/Summary/Keyword: Gradient Correction

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Preliminary Analysis of Precise Point Positioning Performance Using Correction of Tropospheric Delay Gradient

  • Bu-Gyeom Kim;Changdon kee
    • Journal of Positioning, Navigation, and Timing
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    • 제12권2호
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    • pp.141-148
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    • 2023
  • In this paper, impacts of tropospheric delay gradient correction on PPP positioning performance were analyzed. A correction for tropospheric delay error due to the gradient was created and applied using external data, and reference station data were collected on a sunny day and a rainy day to analyze the GPS only dual-frequency PPP positioning results. As a result, on the sunny day, the convergence time was about 35 minutes and the final 3D position error was 10 cm, regardless of whether the correction for the tropospheric delay error by the gradient was applied. On the other hand, on the rainy day, the 3D position error converges only when the correction was applied, and the convergence time was about 34 minutes. Furthermore, the final 3D position error was improved from 30 cm to 10 cm. In addition, the analysis of the PPP by reference station location on the rainy day showed that the PPP positioning performance was improved when the correction was applied to a user located in an area where the weather changes.

입 영역에서 외곽선의 기울기 보정을 통한 특징벡터 생성 기법 (A Feature Vector Generation Technique through Gradient Correction of an Outline in the Mouth Region)

  • 박정환;정종진;김국보
    • 한국멀티미디어학회논문지
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    • 제17권10호
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    • pp.1141-1149
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    • 2014
  • Recently, various methods to effectively eliminate the noise are researched in image processing techniques. However, the conventional noise filtering techniques, which remove most of the noise, are less efficient for remained noise detection after filtering due to exploiting no face feature information. In this paper, we proposed a feature vector generation technique in the mouth region by distinguishing and revising the remained noise through gradient correction, when the outline is extracted after performing noise filtering.

Lens Distortion Correction of images with Gradient Components

  • Park, Junhee;Lee, Byung-Uk
    • 전자공학회논문지
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    • 제50권7호
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    • pp.231-235
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    • 2013
  • Lens distortions have a significant impact on captured or projected image geometry. This paper proposes a lens distortion correction with gradient components for wide-angle lenses. In most cases, distortion coefficients are estimated using a distortion model by point correspondences. Corrected images using only point correspondences can be compensated excessively, therefore, producing bended lines into the opposite direction near the corners. To curtail these phenomena, we propose to adopt the gradient components in addition to positions to obtain the distortion coefficients. We verified the improved accuracy and the straightness of the proposed method through experimentation.

Spotlight SAR 신호처리기법 FSA를 이용한 위성 자세오차로 인한 위상오차 영향분석 및 보정 (The Effect Analysis and Correction of Phase errors by Satellite Attitude Errors using the FSA for the Spotlight SAR Processing)

  • 심상흔
    • 한국군사과학기술학회지
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    • 제10권2호
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    • pp.160-169
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    • 2007
  • In this paper, we have described and simulated the effect analysis and correction of phase errors in the SAR rawdata induced by satellite attitude errors such as drift, jitter. This simulation is based on the FSA(Frequency Scaling Algorithm) for high resolution image formation of the Spotlight SAR. Phase errors produce the degradation of SAR image quality such as loss of resolution, geometric distortion, loss of contrast, spurious targets, and decrease in SNR. To resolve this problem, this paper presents method for correction of phase errors using the PGA(Phase Gradient Algorithm) in connection with the FSA. Several results of the phase errors correction are presented for Spotlight SAR rawdata.

터널 전계 효과 트랜지스터의 양자모델에 따른 특성 변화

  • 이주찬;안태준;유윤섭
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2017년도 추계학술대회
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    • pp.454-456
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    • 2017
  • 다양한 양자모델(Quantum model)을 적용한 터널 전계 효과 트랜지스터(tunnel field effect transistor; TFET)의 전류 및 커패시턴스(Capacitance)-전압 특성을 조사하였다. 사용된 양자 모델은 density gradient, Bohm Quantum Potential(BQP), Vandort quantum correction 모델을 슈뢰딩거-푸아송 모델과 calibration하여 사용하였다. BQP, Vandort, density gradient 모두 구동전류는 감소하였다. BQP를 단독으로 사용한 경우에 SS(subthreshold swing)와 on-set 전압($V_{onset}$)은 일정하지만 구동전류에서만 약 3배 전류가 감소하였으며, BQP와 Vandort 사용한 경우와 density gradient를 사용한 경우에 모두 $V_{onset}$이 약 0.07 eV 이동하였으며, SS가 40 mV/dec 이상으로 증가하였다.

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불균일 자장 보정 후처리 기법을 이용한 간 영상에서의 지방 및 $T_2{^*}$ 측정 (Background Gradient Correction using Excitation Pulse Profile for Fat and $T_2{^*}$ Quantification in 2D Multi-Slice Liver Imaging)

  • 남윤호;김한성;조상영;김동현
    • Investigative Magnetic Resonance Imaging
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    • 제16권1호
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    • pp.6-15
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    • 2012
  • 목적: 이 연구의 목적은 excitation pulse profile을 이용하여 불균일 자장에 의하여 발생하는 배경 경사 자장에 의한 영향을 보상하여 2차원 다중 단면 경사에코 간 영상에서의 정확한 지방 및 $T_2{^*}$ 측정을 하는 데에 있다. 대상과 방법: 2차원 경사에코영상에서 불균일 자장에 의한 배경경사자장으로 인하여 유도되는 신호의 감소는 excitation pulse profile weighting으로 나타난다. 이에 의한 영향을 최소화 하기 위하여 $B_0$ field map을 통하여 단면선택방향으로의 선형 경사자장의 정도를 추정한 후, 획득한 신호를 excitation pulse profile을 이용하여 보정하였다. $T_2{^*}$ 및 지방은 보정된 신호로부터 측정되었으며 보정방법은 3.0T 임상용 장비에서 팬텀 및 in vivo 실험을 통하여 이루어 졌다. 결과: 팬텀 실험 결과는 보정 후 측정된 $T_2{^*}$ 및 지방의 양이 자장이 균일한 경우에 가까워 진 것을 보여 주었다. In vivo 실험에서는 간에서 배경경사자장의 크기가 약 120 ${\mu}T/m$ 정도 까지로 나타났으며 보정하기 전에 비하여 측정된 $T_2{^*}$ 및 지방의 정도의 균일도가 높아지는 것을 확인할 수 있었다. 결론: Excitation pulse profile을 이용한 배경경사자장 보정 방법은 경사 에코 신호에서의 거시적인 불균일 자장에 의한 영향을 줄여 주며 2차원 간 영상에서의 적용을 통하여 보다 정확한 지방 및 $T_2{^*}$의 측정에 도움이 될 수 있다.

일축대칭 I형보의 탄성좌굴강도 산정에 관한 연구 (A Study on the Evaluation of elastic buckling strength of Singly Symmetric I-Beams)

  • 구소연;류효진;임남형;이진옥
    • 한국방재학회:학술대회논문집
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    • 한국방재학회 2008년도 정기총회 및 학술발표대회
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    • pp.79-82
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    • 2008
  • 모멘트 하중을 받는 I형 보의 탄성좌굴강도는 하중의 종류, 하중의 단면 내 작용위치, 그리고 구속조건 등과 같은 인자들에 의해 영향을 받는다. 대부분의 시방기준에서는 균일한 모멘트 조건에 대한 좌굴강도를 사용하고 있으며 비균일한 모멘트 효과를 고려하기 위하여 모멘트 구배 수정계수를 적용하고 있다. 본 논문에서는 SSRC 지침서의 방법을 일축대칭 I형 보에 적용할 수 있도록 개선된 모멘트 구배 수정계수를 제안하였다. 단면 내 임의의 높이에 작용하는 연직방향 하중에 대한 일축대칭 I형 보의 유한요소 좌굴해석을 실시하였으며 연직방향 하중은 지간 중앙에 작용하는 집중하중과 등분포 하중을 고려하였다.

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COLOR CORRECTION METHOD USING GRAY GRADIENT BAR FOR MULTI-VIEW CAMERA SYSTEM

  • Jung, Jae-Il;Ho, Yo-Sung
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.1-6
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    • 2009
  • Due to the different camera properties of the multi-view camera system, the color properties of captured images can be inconsistent. This inconsistency makes post-processing such as depth estimation, view synthesis and compression difficult. In this paper, the method to correct the different color properties of multi-view images is proposed. We utilize a gray gradient bar on a display device to extract the color sensitivity property of the camera and calculate a look-up table based on the sensitivity property. The colors in the target image are converted by mapping technique referring to the look-up table. Proposed algorithm shows the good subjective results and reduces the mean absolute error among the color values of multi-view images by 72% on average in experimental results.

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자세를 고려한 위성체 궤도유지 기법 (A station-keeping method considering satellite attitude)

  • 박재훈;이장규;김유단;최재원
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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    • pp.799-804
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    • 1993
  • In this paper, the scheme of combining the orbit correction and attitude control of a 3-axis stabilized satellite is suggested. Being coupled and complimentary, it is preferable to achieve the required orbit correction and the desired attitude control simultaneously. A solution of the probes simultaneous control of orbit correction and attitude of a satellite, is obtained by solving the two point boundary value problem numerically. The first-order gradient algorithm is used to solve the numerical problem. The simulation results show that the East-West station keeping process with the combined system of an orbit correction and an attitude control is satisfactory.

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농림위성을 위한 기계학습을 활용한 복사전달모델기반 대기보정 모사 알고리즘 개발 및 검증: 식생 지역을 위주로 (Machine Learning-Based Atmospheric Correction Based on Radiative Transfer Modeling Using Sentinel-2 MSI Data and ItsValidation Focusing on Forest)

  • 강유진;김예진;임정호;임중빈
    • 대한원격탐사학회지
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    • 제39권5_3호
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    • pp.891-907
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    • 2023
  • Compact Advanced Satellite 500-4 (CAS500-4) is scheduled to be launched to collect high spatial resolution data focusing on vegetation applications. To achieve this goal, accurate surface reflectance retrieval through atmospheric correction is crucial. Therefore, a machine learning-based atmospheric correction algorithm was developed to simulate atmospheric correction from a radiative transfer model using Sentinel-2 data that have similarspectral characteristics as CAS500-4. The algorithm was then evaluated mainly for forest areas. Utilizing the atmospheric correction parameters extracted from Sentinel-2 and GEOKOMPSAT-2A (GK-2A), the atmospheric correction algorithm was developed based on Random Forest and Light Gradient Boosting Machine (LGBM). Between the two machine learning techniques, LGBM performed better when considering both accuracy and efficiency. Except for one station, the results had a correlation coefficient of more than 0.91 and well-reflected temporal variations of the Normalized Difference Vegetation Index (i.e., vegetation phenology). GK-2A provides Aerosol Optical Depth (AOD) and water vapor, which are essential parameters for atmospheric correction, but additional processing should be required in the future to mitigate the problem caused by their many missing values. This study provided the basis for the atmospheric correction of CAS500-4 by developing a machine learning-based atmospheric correction simulation algorithm.