• 제목/요약/키워드: Spatial imagery

검색결과 598건 처리시간 0.021초

Hyperion과 ALI 영상의 융합을 위한 블록 기반의 융합기법 평가 (Evaluation of Block-based Sharpening Algorithms for Fusion of Hyperion and ALI Imagery)

  • 김예지;최재완
    • 한국측량학회지
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    • 제33권1호
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    • pp.63-70
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    • 2015
  • 영상융합 기법은 고해상도 영상을 이용하여 저해상도 영상의 공간해상도를 증대시키는 방법이다. 본 논문에서는 EO-1 위성에 탑재된 ALI 센서와 Hyperion 센서로부터 취득된 고해상도 흑백영상, 저해상도 다중분광 영상 및 초분광 영상을 활용한 초분광 영상의 융합기법에 대한 연구를 수행하였다. 특히, 초분광 영상과 다중분광 영상의 특성을 고려하여 초분광 영상의 블록을 구성하여 ALI 및 Hyperion 영상에 적용하고, 이에 따른 영상융합 기법의 성능을 평가하고자 하였다. 실험결과, 고해상도 흑백영상만을 사용한 융합결과와 비교하여 저해상도 다중분광 영상을 활용한 블록기반의 융합기법이 공간해상도를 효율적으로 향상시킬 수 있음을 확인하였으며, 제안된 융합기법이 기존의 블록기반 융합기법과 비교하여 분광왜곡을 최소화시킬 수 있음을 확인하였다. 이를 통해, 향후 발사될 다양한 초분광 위성 및 항공기 초분광 센서의 활용을 증대시킬 수 있을 것으로 판단된다.

Strong Uncorrelated Transform Applied to Spatially Distant Channel EEG Data

  • Kim, Youngjoo;Park, Cheolsoo
    • IEIE Transactions on Smart Processing and Computing
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    • 제4권2호
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    • pp.97-102
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    • 2015
  • In this paper, an extension of the standard common spatial pattern (CSP) algorithm using the strong uncorrelated transform (SUT) is used in order to extract the features for an accurate classification of the left- and right-hand motor imagery tasks. The algorithm is designed to analyze the complex data, which can preserve the additional information of the relationship between the two electroencephalogram (EEG) data from distant channels. This is based on the fact that distant regions of the brain are spatially distributed spatially and related, as in a network. The real-world left- and right-hand motor imagery EEG data was acquired through the Physionet database and the support vector machine (SVM) was used as a classifier to test the proposed method. The results showed that extracting the features of the pair-wise channel data using the strong uncorrelated transform complex common spatial pattern (SUTCCSP) provides a higher classification rate compared to the standard CSP algorithm.

Predicting ground-based damage states from windstorms using remote-sensing imagery

  • Brown, Tanya M.;Liang, Daan;Womble, J. Arn
    • Wind and Structures
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    • 제15권5호
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    • pp.369-383
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    • 2012
  • Researchers have recently begun using high spatial resolution remote-sensing data, which are automatically captured and georeferenced, to assess damage following natural and man-made disasters, in addition to, or instead of employing the older methods of walking house-to-house for surveys, or photographing individual buildings from an airplane. This research establishes quantitative relationships between the damage states observed at ground-level, and those observed from space using high spatial resolution remote-sensing data, for windstorms, for individual site-built one- or two-family residences (FR12). "Degrees of Damage" (DOD) from the Enhanced Fujita (EF) Scale were determined for ground-based damage states; damage states were also assigned for remote-sensing imagery, using a modified version of Womble's Remote-Sensing (RS) Damage Scale. The preliminary developed model can be used to predict the ground-level damage state using remote-sensing imagery, which could significantly lessen the time and expense required to assess the damage following a windstorm.

Development of Mobile 3D Terrain Viewer with Texture Mapping of Satellite Images

  • Kim, Seung-Yub;Lee, Ki-Won
    • 대한원격탐사학회지
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    • 제22권5호
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    • pp.351-356
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    • 2006
  • Based on current practical needs for geo-spatial information on mobile platform, the main theme of this study is a design and implementation of dynamic 3D terrain rendering system using spaceborne imagery, as a kind of texture image for photo-realistic 3D scene generation on mobile environment. Image processing and 3D graphic techniques and algorithms, such as TIN-based vertex generation with regular spacing elevation data for generating 3D terrain surface, image tiling and image-vertex texturing in order to resolve limited resource of mobile devices, were applied and implemented by using graphic pipeline of OpenGL|ES (Embedded System) API. Through this implementation and its tested results with actual data sets of DEM and satellite imagery, we demonstrated the realizable possibility and adaptation of complex typed and large sized 3D geo-spatial information in mobile devices. This prototype system can be used to mobile 3D applications with DEM and satellite imagery in near future.

ASTER 열적외선 이미지를 이용한 열섬 현상 탐지: 뉴저지를 사례로 (Using ASTER TIR imagery to identify Heat Islands: A case study of New Jersey)

  • Park, Gwang yong;David W. Gwynn;David A. Robinson
    • 대한지리학회:학술대회논문집
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    • 대한지리학회 2004년도 춘계학술대회
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    • pp.56-56
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    • 2004
  • The ability to detect urban heat islands in satellite imagery is a function of spatial, spectral, and temporal resolutions. Imagery from the satellite-mounted Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor acquired since December 1999 allows us to view the Earth at a higher spectral resolution in the thermal infrared (TIR) portion of the electromagnetic spectrum than most other satellite systems (e.g., AVHRR, Landsat TM). (omitted)

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『홍루몽(紅樓夢)』에 나타난 소상관(瀟湘館)의 의경(意境) 분석 (A Study on Spatial Imagery(Yijing) Analysis of the Weeping Bamboo Lodge(Xiaoxiangguan) in #x300E;A Dream of Red Mansions』)

  • 윈쟈옌;김태경
    • 한국전통조경학회지
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    • 제32권2호
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    • pp.148-158
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    • 2014
  • 본 연구의 목적은 문헌고찰을 통해 중국 청나라 소설 "홍루몽"에 등장하는 가상 정원인 소상관의 의경을 분석하는 것이다. 결론을 요약하면 다음과 같다. 첫째, "홍루몽"에 묘사된 가상 정원은 실제로 재현이 가능한 것을 확인할 수 있다. 둘째, 소상관의 의경 분석을 통해 "홍루몽"은 정원 식물들의 의미를 많이 활용하여 의경을 연출한다는 것을 이해할 수 있다. 셋째, 소상관의 주요 조성 이념은 사법자연(師法自然)이며, 대표적인 공간 구성 원리는 곡경통유(曲徑通幽)와 차경이라고 할 수 있다. 넷째, "홍루몽"과 "원야"에 나타난 전통정원의 조성 이념이 기본적으로 일치하는 것을 발견할 수 있다. 본 연구는 중국 청나라 소설 "홍루몽"에 나오는 소상관의 의경 분석을 통해 정원 의경 분석의 틀을 제시하였고 향후 정원 의경을 분석하는 데 유용한 정보를 마련하였다. 연구 결과를 통해 "홍루몽"은 중국전통정원 연구에 매우 유효한 자료임이 확인되었다.

Land Suitability Analysis using GIS and Satellite Imagery

  • Yoo, Hwan-Hee;Kim, Seong-Sam;Ochirbae, Sukhee;Cho, Eun-Rae;Park, Hong-Gi
    • 한국측량학회지
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    • 제25권6_1호
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    • pp.499-505
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    • 2007
  • A method of improving the correctness and confidence in land use classification as well as urban spatial structure analysis of local governments using GIS and satellite imagery is suggested. This study also compares and analyzes LSAS (Land Suitability Assessment System) results using two approaches-LSAS with priority classification, and LSAS using standard estimation factors without priority classification. The conclusions that can be drawn from this study are as follows. First, a method of maintaining up-to-date local government data by updating the LSAS database using high-resolution satellite imagery is suggested. Second, to formulate a scientific and reasonable land use plan from the viewpoint of territory development and urban management, a method of simultaneously processing the two described approaches is suggested. Finally, LSAS was constructed by using varieties of land information such as the cadastral map, the digital topographic map, varieties of thematic maps, and official land price data, and expects to utilize urban management plan establishment widely and effectively through regular data updating and problem resolution of data accuracy.

Line Based Transformation Model (LBTM) for high-resolution satellite imagery rectification

  • Shaker, Ahmed;Shi, Wenzhong
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.225-227
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    • 2003
  • Traditional photogrammetry and satellite image rectification technique have been developed based on control-points for many decades. These techniques are driven from linked points in image space and the corresponding points in the object space in rigorous colinearity or coplanarity conditions. Recently, digital imagery facilitates the opportunity to use features as well as points for images rectification. These implementations were mainly based on rigorous models that incorporated geometric constraints into the bundle adjustment and could not be applied to the new high-resolution satellite imagery (HRSI) due to the absence of sensor calibration and satellite orbit information. This research is an attempt to establish a new Line Based Transformation Model (LBTM), which is based on linear features only or linear features with a number of ground control points instead of the traditional models that only use Ground Control Points (GCPs) for satellite imagery rectification. The new model does not require any further information about the sensor model or satellite ephemeris data. Synthetic as well as real data have been demonestrated to check the validity and fidelity of the new approach and the results showed that the LBTM can be used efficiently for rectifying HRSI.

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GMS/S-VISSR 자료로부터 Bispectral Thresholds 기법을 이용한 운량 분석에 관하여 (Cloud Cover Analysis from the GMS/S-VISSR Imagery Using Bispectral Thresholds Technique)

  • 서명석;박경윤
    • 대한원격탐사학회지
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    • 제9권1호
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    • pp.1-19
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    • 1993
  • A simple bispectral threshold technique which reflects the temporal and spatial characteristics of the analysis area has been developed to classify the cloud type and estimate the cloud cover from GMS/S-VISSR(Stretched Visible and Infrared Spin Scan Radiometer) imagery. In this research, we divided the analysis area into land and sea to consider their different optical properties and used the same time observation data to exclude the solar zenith angle effects included in the raw data. Statistical clear sky radiance(CSRs) was constructed using maximum brightness temperature and minimum albedo from the S-VISSR imagery data during consecutive two weeks. The CSR used in the cloud anaysis was updated on the daily basis by using CSRs, the standard deviation of CSRs and present raw data to reflect the daily variation of temperature. Thresholds were applied to classify the cloud type and estimate the cloud cover from GMS/S-VISST imagery. We used a different thresholds according to the earth surface type and the thresholds were enough to resolve the spatial variation of brightness temperature and the noise in raw data. To classify the ambiguous pixels, we used the time series of 2-D histogram and local standard deviation, and the results showed a little improvements. Visual comparisons among the present research results, KMA's manual analysis and observed sea level charts showed a good agreement in quality.

Determining the Effect of Green Spaces on Urban Heat Distribution Using Satellite Imagery

  • Choi, Hyun-Ah;Lee, Woo-Kyun;Byun, Woo-Hyuk
    • Asian Journal of Atmospheric Environment
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    • 제6권2호
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    • pp.127-135
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    • 2012
  • Urbanization has led to a reduction in green spaces and thus transformed the spatial pattern of urban land use. An increase in air temperature directly affects forest vegetation, phenology, and biodiversity in urban areas. In this paper, we analyze the changing land use patterns and urban heat distribution (UHD) in Seoul on the basis of a spatial assessment. It is necessary to monitor and assess the functions of green spaces in order to understand the changes in the green space. In addition, we estimated the influence of green space on urban temperature using Landsat 7 Enhanced Thematic Mapper Plus (ETM+) imagery and climatic data. Results of the assessment showed that UHD differences cause differences in temperature variation and the spatial extent of temperature reducing effects due to urban green space. The ratio of urban heat area to green space cooling area increases rapidly with increasing distance from a green space boundary. This shows that urban green space plays an important role for mitigating urban heating in central areas. This study demonstrated the importance of green space by characterizing the spatiotemporal variations in temperature associated with urban green spaces.