• 제목/요약/키워드: High Resolution

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고분해능의 주파수 추정 알고리즘 개발 (High Resolution Frequency Estimation of Real Sinusoids)

  • 서인용
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 추계학술대회 논문집 전기물성,응용부문
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    • pp.279-282
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    • 2003
  • In this paper, we propose a new high resolution frequency estimator for real sinusoids by using short time data and the AWLS/MFT (Adaptive Weighted Least Squares/ Modulation Function Technique) algorithm. Monte-Carlo simulations verify better performances of the proposed frequency estimator and demonstrate that the proposed AWLS sinusoidal estimator is a high resolution estimator.

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IKONOS 영상을 이용한 고해상도 토지피복도 작성 (High-resolution Land Cover Mapping of Rural Area Using IKONOS Imagery)

  • 정인균;홍성민;김성준
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 2003년도 학술발표논문집
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    • pp.71-74
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    • 2003
  • The purpose of this study is to extract agriculture-related information from high-resolution satellite imageries. Calendar of cropping pattern for crops detected on the image was diagrammed, and field investigation was done to check crop status, agricultural facilities and structures. As a result, high-resolution agricultural land cover map from IKONOS imageries was made out.

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High resolution spectroscopic study of the peculiar globular cluster M22 (NGC 6656)

  • Kim, Hyeong-Jun;Lee, Jae-Woo
    • 천문학회보
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    • 제42권2호
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    • pp.65.1-65.1
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    • 2017
  • We present the high-resolution spectroscopic study of the red-giant branch (RGB) stars in the peculiar globular cluster M22 (NGC 6656). We obtained high-resolution spectra of 55 RGB stars using the CTIO 4-m telescope and the HYDRA multi-object spectrograph. By employing an improved LTE analysis method, we measured accurate elemental abundances. In this talk, we will discuss the differences in the chemical composition between the two stellar populations in the context of the formation of M22.

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2004년 PU VUL의 고분산 스펙트럼 - I (THE HIGH RESOLUTION SPECTRA OF PU VUL IN 2004 - I)

  • 유계화
    • 천문학논총
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    • 제20권1호
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    • pp.43-48
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    • 2005
  • We present a high resolution spectrum of PU Vul observed at Bohyunsan Optical Astronomy Observatory (BOAO) on April 9, 2004. Permitted emission and nebular lines of PU Vul had been significantly changed compared to all spectra observed since its eruption in 1979. Therefore all new lines should be re-identified and were done so. We do-convoluted a $H{\beta}$ line into several emission components with Gaussian functions. Then we carefully discussed the geometrical feature of PU Vul in April 2004.

공생형 별 AG PEGASI의 고해상 스펙트럼 (HIGH RESOLUTION SPECTRUM OF SYMBIOTIC STAR AG PEGASI)

  • 유계화
    • 천문학논총
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    • 제21권2호
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    • pp.35-42
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    • 2006
  • We report a high resolution spectrum of AG Pegasi observed at Bohyunsan Optical Astronomy Observatory (BOAO) on October 2, 2004. Some of permitted emission lines, for example H I, He I, He II, Fe II and Ti II were observed in the spectrum of AG Pegasi in 2004. Lines presented in the longer wavelength region than $6500{\AA}$ are identified. And radial velocities for each element are measured. Then we carefully discuss the geometrical feature of AG Pegasi in October 2004.

An 8-bit Resolution 140 kFLIPS Fuzzy Microprocessor

  • Sasaki, Mamoru;Ueno, Fumio;Inoue, Takahiro
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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    • pp.921-924
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    • 1993
  • For the purpose of applying to a high-speed control system, such as engine control for automobile application, we propose an architecture of a fuzzy inference processor, which can realize high-speed inference, high-resolution, and can be implemented with small chip area. We have designed a single chip based on the architecture, and confirmed the performance, such as 140 kFLIPS with 8-bit resolution.

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Development of Feature-based Classification Software for High Resolution Satellite Imager

  • Jeong, Soo;Kim, Kyung-Ok;Jeong, Sang-Yong
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.1111-1113
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    • 2003
  • In this paper, we investigated a method for feature - based classification to develop software which is suitable to the classification of high resolution satellite imagery . So, we developed related algorithm and designed user interfaces of convenience, considering various elements require for the feature - based classification. The software was tested with eCognition software which is unique commercial software for feature - based classification.

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MEDICAL IMAGE ANALYSIS USING HIGH ANGULAR RESOLUTION DIFFUSION IMAGING OF SIXTH ORDER TENSOR

  • K.S. DEEPAK;S.T. AVEESH
    • Journal of applied mathematics & informatics
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    • 제41권3호
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    • pp.603-613
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    • 2023
  • In this paper, the concept of geodesic centered tractography is explored for diffusion tensor imaging (DTI). In DTI, where geodesics has been tracked and the inverse of the fourth-order diffusion tensor is inured to determine the diversity. Specifically, we investigated geodesic tractography technique for High Angular Resolution Diffusion Imaging (HARDI). Riemannian geometry can be extended to a direction-dependent metric using Finsler geometry. Euler Lagrange geodesic calculations have been derived by Finsler geometry, which is expressed as HARDI in sixth order tensor.

심층학습 기반 초해상화 기법을 이용한 슬로싱 압력장 복원에 관한 연구 (Study on the Reconstruction of Pressure Field in Sloshing Simulation Using Super-Resolution Convolutional Neural Network)

  • 김효주;양동헌;박정윤;황명권;이상봉
    • 대한조선학회논문집
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    • 제59권2호
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    • pp.72-79
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    • 2022
  • Deep-learning-based Super-Resolution (SR) methods were evaluated to reconstruct pressure fields with a high resolution from low-resolution images taken from a coarse grid simulation. In addition to a canonical SRCNN(super-resolution convolutional neural network) model, two modified models from SRCNN, adding an activation function (ReLU or Sigmoid function) to the output layer, were considered in the present study. High resolution images obtained by three models were more vivid and reliable qualitatively, compared with a conventional super-resolution method of bicubic interpolation. A quantitative comparison of statistical similarity showed that SRCNN model with Sigmoid function achieved best performance with less dependency on original resolution of input images.

A Study on Super Resolution Image Reconstruction for Effective Spatial Identification

  • Park Jae-Min;Jung Jae-Seung;Kim Byung-Guk
    • Spatial Information Research
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    • 제13권4호
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    • pp.345-354
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    • 2005
  • 초해상도 영상복원은 동일 지역을 촬영한 여러 장의 저해상도 영상을 이용하여 고해상도의 영상으로 재구성하는 영상처리 알고리즘 기법이다. 이 기법은 위성영상, 비디오 감시, 영상 강조 및 복원, 영상 모자이킹, 의료 영상과 같이 여러 장의 프레임 영상을 획득할 수 있는 분야에서 유용하게 사용될 수 있다. 본 연구에서는 지상을 촬영한 비디오 영상 열에 공간영역 초해상도 기법을 적용하였다. 실험에 사용된 영상은 높은 중복도로 촬영된 연속적인 비디오 영상에서 부표본화되었으며, 저해상도 영상과 고해상도 영상간의 관측 모델을 구성하고 초해상도 영상복원 기법중의 하나인 MAP 알고리즘을 적용하였다. MAP 기법을 이용하여 여러 장의 저해상도 영상에서 고해상도 영상으로 복원하였으며, 그 결과를 기존의 영상보간 방법들과 비교하였다.

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