• 제목/요약/키워드: Urban Image

검색결과 971건 처리시간 0.026초

GLCM과 육안판독을 이용한 도시경계 추출 (Extracting Urban Boundary Using Grey Level Co-Occurrence Matrix Method and Visual Interpretation)

  • 손홍규;김기홍;유복모;방수남
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2003년도 춘계학술발표회 논문집
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    • pp.313-316
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    • 2003
  • Growing urban areas modify patterns of local land use and land cover. Land use changes associated with an urban area can be extensive. One way to understand and document land use change and urbanization is to establish benchmark maps compiled from satellite imagery The use of satellite imagery for monitoring urban growth has been widely demonstrated. Multi-temporal LANSAT TM image data has created the potential for monitoring urban change and land cover identification. In this study, for extracting urban boundary GLCM method and visual interpretation were used in CORONA imagery and SPOT imagery.

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IKONOS 위성영상을 이용한 불투수지표면 분석방법에 관한 실증연구 (An Empirical Study on Analysis Method of Impervious Surface Using IKONOS Image)

  • 사공호상
    • Spatial Information Research
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    • 제11권4호
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    • pp.509-518
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    • 2003
  • 토양의 포장은 도시의 기후나 홍수 그리고 수질오염 등에 영향을 미친다. 토양의 포장률이 높아질수록 건물과 도로의 열 저장능력이 커져 대기의 온도가 상승하며, 유출수가 증가하여 집중호우시 홍수를 유발한다. 아울러 비점오염의 부하량이 늘어나서 수질오염을 가중시킨다. 이와 같이 도시의 생태, 재해 그리고 오염에 영향을 미치는 토양의 포장현황을 파악하고 모니터링하는 것은 매우 중요하다. 그러나 도시지역의 토양포장 상태는 복잡하며, 이를 조사하는데 시간과 비용이 많이 소요되기 때문에 자료를 얻기가 매우 어려운 실정이다. 이와 같은 문제인식 하에서, 이 연구에서는 효과적으로 불투수지표면을 조사하는 방법의 하나로서 인공위성영상자료를 이용하는 방법을 모색하였다. 이 연구에서는 실제로 IKONOS 영상을 이용하여 안양시의 불투수지표면(不透水地表面)의 현황을 조사 분석하고, 이 방법의 유용성과 한계를 살펴보았다.

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SEGMENTATION-BASED URBAN LAND COVER HAPPING FROM KOMPSAT EOC IMAGES

  • Florian P, Kressler;Kim, Youn-Soo;Klaus T, Steinnocher
    • 한국GIS학회:학술대회논문집
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    • 한국GIS학회 2003년도 공동 춘계학술대회 논문집
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    • pp.588-595
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    • 2003
  • High resolution panchromatic satellite images collected by sensors such as IRS-1C/D and KOMPSAT-1 have a spatial resolution of approximately 6 ${\times}$ 6 ㎡, making them very attractive for urban applications. However, the spectral information present in these images is very limited. In order to overcome this limitation, an object-oriented classification approach is used to identify basic land cover types in urban areas. Before an image can be classified it is segmented at different aggregation levels using a multiresolution segmentation approach. In the course of this segmentation various statistical as well as topological information is collected for each segment. Based on this information it is possible to classify image objects and to arrive at much better results than by looking only at single pixels. Using an image recorded by KOMPSAT-1 over the City of Vienna a land cover classification was carried out for two areas. One was used to set up the rules for the different land cover types. The second subset was classified based on these rules, only adjusting some of the functions governing the classification process.

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인터넷 영상지도를 활용한 축척별 도시경관 정보시스템 (Information System for Multi-scale Urban Landscape using Internet Image Map)

  • 엄정섭;최자현
    • 환경영향평가
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    • 제11권4호
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    • pp.289-309
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    • 2002
  • Solutions of many landscape problems depend on area-wide assessment and interpretation of spatial and physical characteristics over the study area. The authors argue that the public awareness for an area-wide urban landscape appears to be very low due to limited chance to the information. Acknowledging these constraints, an operational, user-friendly information system has been developed by combining internet technology with GIS. In particular, integration among satellite data and digital maps takes advantage of each component, and enables the landscape structure to be visualized, interacted with and deployed all on the Web. The 1m resolution IKONOS data realistically identified the major type of landscape by large scale spatial precision while TM data revealed successfully the major parameters that influence an area-wide spatial structure in the study area. This system would play a crucial role in improving the public awareness for area-wide landscape information if it is operationally introduced into the Government since the highly user-friendly interface based on image maps provides a completely new means for disseminating information for area-wide landscape in a visual and interactive manner to the general public.

그린투어리즘 활성화를 위한 도시민의 의식에 관한 연구 (A Study on the Consciousness of the City People to Revitalize the Green Tourism)

  • 김익환;장한섭;김영민
    • 한국산업융합학회 논문집
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    • 제12권1호
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    • pp.51-59
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    • 2009
  • The goal of this study is to deduce the image of city people on rural district, and to clarify the city people's demands on rural tour and their consciousness on green tourism. This study also aims to propose the effective ways of improving the environment of rural district to revitalize green tourism and to promote the exchange between urban and rural districts. The study results indicate that most city people have a warm-hearted lyric image on rural district. In addition, it is indicated that the city people like the rural district with beautiful scenery, which is easy to contact with nature. On the other hand, as the goal of green tourism, in addition to the contact with nature, the exchange between urban and rural districts and the understanding on the rural life through personal experience are also considered very important. Finally, the city people are classified into four types, and it is necessary to develop the green tour program with emphasis on the city people of overall-type.

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A Study on Urban Change Detection Using D-DSM from Stereo Satellite Data

  • Jang, Yeong Jae;Oh, Kwan Young;Lee, Kwang Jae;Oh, Jae Hong
    • 한국측량학회지
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    • 제37권5호
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    • pp.389-395
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    • 2019
  • Unlike aerial images covering small region, satellite data show high potential to detect urban scale geospatial changes. The change detection using satellite images can be carried out using single image or stereo images. The single image approach is based on radiometric differences between two images of different times. It has limitations to detect building level changes when the significant occlusion and relief displacement appear in the images. In contrast, stereo satellite data can be used to generate DSM (Digital Surface Model) that contain information of relief-corrected objects. Therefore, they have high potential for the object change detection. Therefore, we carried out a study for the change detection over an urban area using stereo satellite data of two different times. First, the RPC correction was performed for two DSMs generation via stereo image matching. Then, D-DSM (Differential DSM) was generated by differentiating two DSMs. The D-DSM was used for the topographic change detection and the performance was checked by applying different height thresholds to D-DSM.

SEMI-AUTOMATIC 3D BUILDING EXTRACTION FROM HIGH RESOLUTION SATELLITE IMAGES

  • Javzandulam, Tsend-Ayush;Rhee, Soo-Ahm;Kim, Tae-Jung;Kim, Kyung-Ok
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.606-609
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    • 2006
  • Extraction of building is one of essential issues for the 3D city models generation. In recent years, high-resolution satellite imagery has become widely available, and this shows an opportunity for the urban mapping. In this paper, we have developed a semi-automatic algorithm to extract 3D buildings in urban settlements areas from high-spatial resolution panchromatic imagery. The proposed algorithm determines building height interactively by projecting shadow regions for a given building height onto image space and by adjusting the building height until the shadow region and actual shadow in the image match. Proposed algorithm is tested with IKONOS images over Deajeon city and the algorithm showed promising results.┌阀؀䭏佈䉌ᔀ鳪떭臬隑駭验耀

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Particle Image Velocimetry Measurement of Unsteady Turbulent Flow around Regularly Arranged High-Rise Building Models

  • Sato, T.;Hagishima, A.;Ikegaya, N.;Tanimoto, J.
    • 국제초고층학회논문집
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    • 제2권2호
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    • pp.105-113
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    • 2013
  • Recent studies proved turbulent flow properties in high-rise building models differ from those in low-rise building models by comparing turbulent statistics. Although it is important to understand the flow characteristics within and above high-rise building models in the study of urban environment, it is still unknown and under investigation. For this reason, we performed wind tunnel experiment using Particle Image Velocimetry (PIV) to investigate and identify the turbulent flow properties and characteristic flow patterns in high-rise building models. In particular, we focus on instantaneous flow field near the canopy and extracted flow field when homogeneous flow field were observed. As a result, six characteristic flow patterns were identified and the relationship between these flow patterns and turbulent organized structure were shown.

The Image Interpretation Module Development for an Urban Area

  • Kim, J.Y.;Chang, Y.H.;Chang, K.S.;Kang, H.G.;Kim, E.G.;Lee, I.C.;Kim, K.W.;Park, C.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.1183-1187
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    • 2003
  • Five new satellite image interpretation modules are developed. The modules are for: 1) construction of a realistic color image, 2) feature recognition by intensity filtering, 3) removal of spurious spots by next -neighbor count comparison, 4) deviation-amplification filtering, and 5) feature recognition by spectral distribution pattern. The modules were applied to a set of IKONOS images of 8 x 8 km area of the city of Daejeon, Korea, to recognize the distribution of various features such as water resources, playgrounds, forests, etc.

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Topographic Information Extraction from Kompsat Satellite Stereo Data Using SGM

  • Jang, Yeong Jae;Lee, Jae Wang;Oh, Jae Hong
    • 한국측량학회지
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    • 제37권5호
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    • pp.315-322
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    • 2019
  • DSM (Digital Surface Model) is a digital representation of ground surface topography or terrain that is widely used for hydrology, slope analysis, and urban planning. Aerial photogrammetry and LiDAR (Light Detection And Ranging) are main technology for urban DSM generation but high-resolution satellite imagery is the only ingredient for remote inaccessible areas. Traditional automated DSM generation method is based on correlation-based methods but recent study shows that a modern pixelwise image matching method, SGM (Semi-Global Matching) can be an alternative. Therefore this study investigated the application of SGM for Kompsat satellite data of KARI (Korea Aerospace Research Institute). Firstly, the sensor modeling was carried out for precise ground-to-image computation, followed by the epipolar image resampling for efficient stereo processing. Secondly, SGM was applied using different parameterizations. The generated DSM was evaluated with a reference DSM generated by the first pulse returns of the LIDAR reference dataset.