• 제목/요약/키워드: 공간 평가

Search Result 7,042, Processing Time 0.033 seconds

The comparison of spatial/spectral distortion on the hybrid pansharpened images by the spatial correlation methods (공간 상관도 기법에 따른 하이브리드 융합영상의 공간/분광 왜곡 평가)

  • Choi, Jae-Wan;Kim, Dae-Sung;Kim, Yong-Ii
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.29 no.2
    • /
    • pp.175-181
    • /
    • 2011
  • In remote sensing, it has been a difficult task to obtain a multispectral image with high spatial resolution because of the technical limitation of satellite sensors. In order to solve these problems, various pansharpening algorithms have been tried and proposed. However, most pansharpened images created by various approaches tend to distort the spectral characteristics of the original multispectral image or decrease the visual sharpness of the panchromatic image. To minimize the spectral distortion of pansharpened image while preserving spatial information of the panchromatic image, a hybrid pansharpening algorithm based on the spatial correlation was proposed. In this paper, we analyzed the spatial and spectral distortion of the hybrid pansharpened images generated by the various spatial correlation methods. In the experiments, we proved that the method by using Laplacian filtering was more efficient than other high frequency extraction algorithms in the viewpoint of spectral distortion and spatial sharpness.

An Exploratory Study of Developing a Measurement Tool for the Quality of Information Commons (정보공유공간의 품질 측정지표 개발에 관한 탐색적 연구)

  • Park, Ji-Hong;Key, Sun-Ah
    • Journal of the Korean Society for Library and Information Science
    • /
    • v.46 no.4
    • /
    • pp.5-25
    • /
    • 2012
  • The purpose of this study is to develop a measurement tool for the quality of information commons. Information commons is a physical, technological, social, and intellectual place where library users can experience various educational, research, and cultural activities. It is recently gaining popularity and several libraries have implemented it to help users share knowledge and interact with each other. It also intends to provide a place for collaboration, learning, and rest. Despite its benefits and usefulness, there is no measurement tool explicitly designed for the quality of information commons. This study used in-depth personal interview, compared prior studies, and conducted a pilot study to elicit library users' perceptions on information commons and factors influencing on the perceived quality of information commons. Groups of initial items were emerged through classifying and clustering key concepts in the data. Then, the validity of the items were verified through a pilot study. The findings of this study will be useful for developing more reliable and valid survey measurement tool.

Applicability Analysis of Measurement Data Classification and Spatial Interpolation to Improve IUGIM Accuracy (지하공간통합지도의 정확도 향상을 위한 계측 데이터 분류 및 공간 보간 기법 적용성 분석)

  • Lee, Sang-Yun;Song, Ki-Il;Kang, Kyung-Nam;Kim, Wooram;An, Joon-Sang
    • Journal of the Korean Geotechnical Society
    • /
    • v.38 no.10
    • /
    • pp.17-29
    • /
    • 2022
  • Recently, the interest in integrated underground geospatial information mapping (IUGIM) to ensure the safety of underground spaces and facilities has been increasing. Because IUGIM is used in the fields of underground space development and underground safety management, the up-to-dateness and accuracy of information are critical. In this study, IUGIM and field data were classified, and the accuracy of IUGIM was improved by spatial interpolation. A spatial interpolation technique was used to process borehole data in IUGIM, and a quantitative evaluation was performed with mean absolute error and root mean square error through the cross-validation of seven interpolation results according to the technique and model. From the cross-validation results, accuracy decreased in the order of nonuniform rational B-spline, Kriging, and inverse distance weighting. In the case of Kriging, the accuracy difference according to the variogram model was insignificant, and Kriging using the spherical variogram exhibited the best accuracy.

Development of Performance Evaluation Method for Urban Regeneration Project based on Spatial Big Data (공간 빅데이터 기반의 도시재생사업 성과 평가기법 개발)

  • Yun Byung-Hun;Seong Soon-A;Lee Sam-Su
    • Journal of the Korean Regional Science Association
    • /
    • v.39 no.1
    • /
    • pp.21-36
    • /
    • 2023
  • Entering the era of low growth due to changes in social and economic conditions, most cities across the country are actively promoting urban regeneration. Although urban regeneration is a project with huge national finances, a clear evaluation system has not yet been established. In order to ensure the sustainability of urban regeneration, it is necessary to secure the validity of urban regeneration policies and establish a reflux system to supplement the policies. The purpose of this study is to derive the limitations of the existing comprehensive performance evaluation and to develop an improved urban regeneration policy comprehensive performance evaluation technique based on spatial big data. The urban regeneration comprehensive performance evaluation technique differentiated the areas affected by the urban regeneration project and the surrounding areas based on the type of urban regeneration project and the presence or absence of large cities and middle cities. The effects of urban regeneration were quantitatively verified through relative comparison between the areas affected by urban regeneration projects and the surrounding areas of population, society, economy, industry, physical and environmental evaluation indicators.