• 제목/요약/키워드: spatial division

검색결과 1,814건 처리시간 0.032초

INTERACTIVE FEATURE EXTRACTION FOR IMAGE REGISTRATION

  • Kim Jun-chul;Lee Young-ran;Shin Sung-woong;Kim Kyung-ok
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.641-644
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    • 2005
  • This paper introduces an Interactive Feature Extraction (!FE) approach for the registration of satellite imagery by matching extracted point and line features. !FE method contains both point extraction by cross-correlation matching of singular points and line extraction by Hough transform. The purpose of this study is to minimize user's intervention in feature extraction and easily apply the extracted features for image registration. Experiments with these imagery dataset proved the feasibility and the efficiency of the suggested method.

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비디오 영상에서 컬러와 움직임 기반의 화재 검출 (Color and Motion-based Fire Detection in Video Sequences)

  • 알라김;김윤호
    • 한국항행학회논문지
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    • 제15권3호
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    • pp.471-477
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    • 2011
  • CCTV 카메라는 비디오 감시분야나 화재검출 시스템 등에 다양하게 응용되는 바, 본 논문에서는 고정된 카메라에서 영상 정보를 취득하여 비디오 시컨스를 분석한 후 화재정보를 검출하는 방법을 제안하였다. 연속영상의 배경과 화재정보를 공간적으로 검출하고, 시공간적으로 편차가 급격하게 나타나면 화재 발생 인자로 결정하여 실험을 수행하였다.

색상과 움직임 정보 기반의 화재 감지 알고리즘 (Fire Detection Algorithm based on Color and Motion Information)

  • 알라 킴;김윤호
    • 한국항행학회논문지
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    • 제13권6호
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    • pp.1011-1016
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    • 2009
  • 본 논문에서는 공공장소에 광범위하게 설치되어있는 CCTV의 감시 기능을 활용하여 화재 발생 감지 방법을 제안하였다. 제안한 방법은 고정된 카메라로부터 칼라 정보를 이용하여 비디오 시퀀스의 화재 프레임 후보를 찾아내고, 공간 기법을 기반으로 감지된 화재 정보의 전경 색상을 분석하였다. 실험 결과, 비디오 시컨스에서 시 공간적 화재 후보 정보들이 급격히 변화할 때, 화재 감지의 성능이 우수함을 확인할 수 있었다.

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Development and application of a GIS based groundwater modeling system

  • Lee, Saro;Park, Eungyu;Cho, Min-Joe
    • Spatial Information Research
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    • 제10권4호
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    • pp.551-565
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    • 2002
  • To carry out systematic groundwater assessment, exploration and management and to use these for protection of optimal groundwater yield, a data analysis and management system is required. Thus, the object of this research was to develop and apply software that integrates GIS and groundwater modeling: GISGAM (GIS for groundwater analysis and management system). The GIS program ArcView and the groundwater-modeling program MODFLOW were used for the GISGAM. The program components consist of a pre-processor, a processor, and a post-processor for groundwater modeling. In addition, GIS functions such as input, manipulation, analysis and output of data were embedded into the program. In applying the program to pilot area, topography, geology, soil, land use and well databases, and a groundwater flow model were constructed for the study area. This case study revealed the advantage and convenience of groundwater modeling using GIS capabilities. By integrating GIS and the groundwater model, the impact of changing values of hydrogeological constants on model results could be more easily evaluated.

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Reconfiguration of Korea Highrise Residential Spaces in Response to Pandemic

  • Myung Sik Lee;Seung Jo Lee
    • 국제초고층학회논문집
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    • 제12권4호
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    • pp.351-362
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    • 2023
  • In modern society, rapid environmental changes are occurring due to the complex interaction of various factors. Starting in 2020, the social environment is changing rapidly due to the impact of the pandemic, and the social and economic living environment is changing significantly not only in Korea but also internationally. In this trend, behavioral and spatial changes are occurring in response to changes in the architectural living environment. To analyze changes in behavior and space from an architectural perspective in response to changes in the social environment, first organize the concept and aspects of the pandemic that caused the change, examine the theory of the pandemic, and examine architectural responses to changes in the social environment. There is a need to analyze. Therefore, in order to architecturally review changes in the social environment due to the pandemic, the purpose of this study is to analyze the living behavior and space of major highrise residential complexes in the living environment and present new spatial alternatives in response.

Temporal and Spatial Characteristics of Sea Surface Winds over the Adjacent Seas of Korean Peninsular - Spectral Analysis.

  • Lee, Heung-Jae;Na, Jung-Yul;Han, Sang-Kyu
    • 한국해안해양공학회:학술대회논문집
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    • 한국해안해양공학회 1995년도 정기학술강연회 발표논문 초록집
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    • pp.20-25
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    • 1995
  • Surface wind field over an ocean plays a very important role not only to generate wind-driven current, but also to control heat exchange between ocean and atmosphere. However, the surface wind-field used for the ocean circulation and heat exchange is usually estimated by indirect methods because of lack of observed wind data and incomplete spatial coverage. (omitted)

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One-step Least Squares Fitting of Variogram

  • Choi, Hye-Mi
    • Communications for Statistical Applications and Methods
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    • 제12권2호
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    • pp.539-544
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    • 2005
  • In this paper, we propose the one-step least squares method based on the squared differences to estimate the parameters of the variogram used for spatial data modelling, and discuss its asymptotic efficiency. The proposed method does not require to specify lags of interest and partition lags, so that we can delete the subjectiveness and ambiguity originated from the lag selection in estimating spatial dependence.

남부지방 단감원에서 미국선녀벌레의 분산 및 공간분포 분석 (Analysis for Dispersal and Spatial Pattern of Metcalfa pruinosa (Hemiptera: Flatidae) in Southern Sweet Persimmon Orchard)

  • 박부용;김민중;이상구;김길하
    • 한국응용곤충학회지
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    • 제58권4호
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    • pp.291-297
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    • 2019
  • 미국선녀벌레(Metcalfa pruinosa)는 2009년 국내에 최초로 보고된 이후 남부지역 단감 과원을 중심으로 다양한 농작물에 경제적 피해를 야기한다. 미국선녀벌레는 기주 범위가 넓고 다양하여 농경지뿐 아니라 산림지역에도 존재하여 과수원 인근 산림에서 농경지로 유입되는 개체로 인하여 효율적인 방제를 위한 시간적, 공간적 범위를 결정하는데 어려움이 많다. 본 연구에서는 투명 점착트랩을 이용하여 단감원에서 미국선녀벌레의 발생 양상과 유입 및 유출 경향을 조사하였고, SADIE(Spatial Analysis by Distance Indices)를 사용하여 공간분포를 조사하였다. 또한 조사 시점간 공간분포의 상관관계를 분석하여, 분포의 패턴의 변화하는 시점들을 확인하였다. 단감원에서 미국선녀벌레의 발생 최성기는 5월 중순과 8월 중순으로 5월에는 약충이, 8월에는 성충이 발견되었다. 10월 이후에는 발견되지 않았다. 5월 중하순경 부화한 약충은 임의분포 하였으나 포장 외부로 분산한 후 집중 분포하는 패턴을 보였다. 성충은 다시 포장으로 유입된 후 임의분포하였다. 트랩 높이별 채집 정도는 약충기에는 상대적으로 아래쪽 트랩에서, 성충기에는 위쪽 트랩에서 많이 채집되었다. 이러한 경향성은 포장 내부와 주변부의 밀도 변화에서도 확인할 수 있었고, 포장 내 단감에서의 미국선녀벌레 실제 밀도와도 매우 유사한 경향을 보였다.

PM10 장기노출 예측모형 개발을 위한 국가 대기오염측정자료의 탐색과 활용 (Exploration and Application of Regulatory PM10 Measurement Data for Developing Long-term Prediction Models in South Korea)

  • 이선주;김호;김선영
    • 한국대기환경학회지
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    • 제32권1호
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    • pp.114-126
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    • 2016
  • Many cohort studies have reported associations of individual-level long-term exposures to $PM_{10}$ and health outcomes. Individual exposures were often estimated by using exposure prediction models relying on $PM_{10}$ data measured at national regulatory monitoring sites. This study explored spatial and temporal characteristics of regulatory $PM_{10}$ measurement data in South Korea and suggested $PM_{10}$ concentration metrics as long-term exposures for assessing health effects in cohort studies. We obtained hourly $PM_{10}$ data from the National Institute of Environmental Research for 2001~2012 in South Korea. We investigated spatial distribution of monitoring sites using the density and proximity in each of the 16 metropolitan cities and provinces. The temporal characteristics of $PM_{10}$ measurement data were examined by annual/seasonal/diurnal patterns across urban background monitoring sites after excluding Asian dust days. For spatial characteristics of $PM_{10}$ measurement data, we computed coefficient of variation (CV) and coefficient of divergence (COD). Based on temporal and spatial investigation, we suggested preferred long-term metrics for cohort studies. In 2010, 294 urban background monitoring sites were located in South Korea with a site over an area of $415.0km^2$ and distant from another site by 31.0 km on average. Annual average $PM_{10}$ concentrations decreased by 19.8% from 2001 to 2012, and seasonal $PM_{10}$ patterns were consistent over study years with higher concentrations in spring and winter. Spatial variability was relatively small with 6~19% of CV and 21~46% of COD across 16 metropolitan cities and provinces in 2010. To maximize spatial coverage and reflect temporal and spatial distributions, our suggestion for $PM_{10}$ metrics representing long-term exposures was the average for one or multiple years after 2009. This study provides the knowledge of all available $PM_{10}$ data measured at national regulatory monitoring sites in South Korea and the insight of the plausible longterm exposure metric for cohort studies.