• 제목/요약/키워드: building extraction

검색결과 391건 처리시간 0.025초

삼각벡터구조를 이용한 고해상도 위성 단영상에서의 건물 높이 추출 (Building Height Extraction using Triangular Vector Structure from a Single High Resolution Satellite Image)

  • 김혜진;한동엽;김용일
    • 대한원격탐사학회지
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    • 제22권6호
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    • pp.621-626
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    • 2006
  • IKONOS나 QuickBird와 같은 고해상도 위성영상이 상용화됨에 따라 위성영상으로부터 3차원 건물 정보를 취득하기 위한 많은 연구가 진행되고 있다. 3차원 건물 높이를 추출하는 연구는 크게 스테레오 영상 기반의 연구들과 단영상 기반의 연구들로 나눌 수 있는데 센서 모델링을 수반하는 스테레오 영상 기반의 연구들은 그 과정이 복잡하고, 실제 스테레오 영상을 취득하기 위해서는 별도의 주문과 비용이 소요되는 등의 어려움이 따른다. 기존의 단영상을 이용한 건물 높이 추출 연구들은 대부분 DEM 등의 부가적인 데이터를 필요로 하며, 건물의 그림자 길이나 건물 지붕점과 바닥점 관측을 통해 높이를 추출하였다. 이러한 기법들은 도시지역과 같이 건물이 밀집한 지역에서는 적용하기 부적합하다. 이에 이태윤(2006)의 연구에서는 가상의 그림자 투영 기법을 이용하여 건물의 그림자가 다른 인공체에 드리운 경우에도 건물 높이 추출이 가능한 기법이 제안된 바 있으나 이 기법은 건물의 그림자 끝이 식별되지 않는 건물에는 적용이 불가능하다. 이에 본 연구에서는 고해상도 위성 단영상에서 보다 많은 건물 높이의 관측이 가능하도록 하는 삼각 벡터구조 기반의 새로운 기법을 제안하였다. 제안된 기법은 센서모델링 과정이나 부가적인 데이터 없이 간단히 구현 가능하며 디지타이징 과정에서 발생하는 오차를 줄일 수 있다.

IKONOS 정사영상을 이용한 건물의 자동추출 (Automatic Extraction of the Building Using IKONOS Ortho-Image)

  • 이재기;정성혁;임인섭
    • 한국측량학회지
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    • 제21권1호
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    • pp.19-26
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    • 2003
  • 최근 1m 내외의 공간해상도를 가지는 고해상도 위성영상이 일반인에게 공개되고 상업적으로 이용이 가능해짐에 따라 고해상도 위성영상을 이용하여 정사영상을 제작하고 지도제작과 갱신 및 지형공간정보체계의 자료기반으로 활용하려는 연구가 활발히 이루어지고 있다. 따라서, 본 연구에서는 IKONOS 위성영상을 이용하여 정사영상을 제작하고, 인공지물중 도시지역에서 많은 분포를 나타내고 있는 건물을 자동 추출하는 처리기법을 정립하고, 관련된 알고리즘을 개발하는데 목적이 있다. 연구결과 전체 건물중 72%를 자동 추출할 수 있었으며, 대상영상과 중첩, 대상지역의 수치지도 및 수동으로 도화한 결과와 비교함으로써 오류발생의 경향을 분석하고, 본 연구에서 제시한 기법이 건물의 자동 추출에 비교적 양호한 결과를 얻을 수 있음을 알 수 있었다.

3D Building Detection and Reconstruction from Aerial Images Using Perceptual Organization and Fast Graph Search

  • Woo, Dong-Min;Nguyen, Quoc-Dat
    • Journal of Electrical Engineering and Technology
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    • 제3권3호
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    • pp.436-443
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    • 2008
  • This paper presents a new method for building detection and reconstruction from aerial images. In our approach, we extract useful building location information from the generated disparity map to segment the interested objects and consequently reduce unnecessary line segments extracted in the low level feature extraction step. Hypothesis selection is carried out by using an undirected graph, in which close cycles represent complete rooftops hypotheses. We test the proposed method with the synthetic images generated from Avenches dataset of Ascona aerial images. The experiment result shows that the extracted 3D line segments of the reconstructed buildings have an average error of 1.69m and our method can be efficiently used for the task of building detection and reconstruction from aerial images.

3D Building Reconstruction Using a New Perceptual Grouping Technique

  • Woo, Dong-Min;Nguyen, Quoc-Dat
    • 전기전자학회논문지
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    • 제12권1호
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    • pp.51-58
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    • 2008
  • This paper presents a new method for building detection and reconstruction from aerial images. In our approach, we extract the useful building location information from the generated disparity map to obtain the segmentation of interested objects and thus reduce significantly unnecessary line segment extracted in low level feature extraction step. Hypothesis selection is carried out by using undirected graph in which close cycles represent complete rooftops hypotheses, and hypothesis are finally tested to contruct building model. We test the proposed method with synthetic images generated from Avenches dataset of Ascona aerial images. The experiment result shows that the extracted 3D line segments of the buildings can be efficiently used for the task of building detection and reconstruction from aerial images.

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TECHNIQUE OF EXTRACTING BUILDING BOUNDARIES FROM SEGMENTED ALS POINTS

  • Lee, Jeong-Ho;Kim, Yong-II
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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    • pp.141-144
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    • 2008
  • Many studies have been conducted on extracting buildings from ALS(Airborne Laser Scanning) data. After segmentation or classification of building points, additional steps such as generalization is required to get straight boundary lines that better approximate the real ones. In much research, orthogonal constraints are used to improve accuracies and qualities. All the lines of the building boundaries are assumed to be either parallel or perpendicular mutually. However, this assumption is not valid in many cases and more complex shapes of buildings have been increased. A new algorithm is presented that is applicable to various complex buildings. It consists of three steps of boundary tracing, grouping, and regularization. The performance of our approach was evaluated by applying the algorithm to some buildings and the results showed that our proposed method has good potential for extracting building boundaries of various shapes.

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A Whole LCA of the Sustainable Aspects of Structural Systems in Tall Buildings

  • Trabucco, Dario;Wood, Antony;Vassart, Olivier;Popa, Nicoletta
    • 국제초고층학회논문집
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    • 제5권2호
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    • pp.71-86
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    • 2016
  • This paper summarizes the results of a two-year-long research project conducted by the CTBUH on the life cycle assessment (LCA) of tall building structural systems. The research project was made possible thanks to a $300,000 contribution from ArcelorMittal and the support of some of the most important structural engineering firms and players in the tall building industry. The research analyzed all life phases of a tall building's structural system: the extraction and production of its materials, transportation to the site, construction operations, final demolition of the building, and the end-of-life of the materials. The impact of the building structure during the operational phase (i.e., impact on daily energy consumption, maintenance, and suitability to changes) was also investigated, but no significant impacts were identified during this phase.

Effects of Edge Detection on Least-squares Model-image Fitting Algorithm

  • Wang, Sendo;Tseng, Yi-Hsing;Liou, Yan-Shiou
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.159-161
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    • 2003
  • Fitting the projected wire-frame model to the detected edge pixels on images by using least-squares approach, called Least-squares Model-image Fitting (LSMIF), is the key of the Model-based Building Extraction (MBBE). It is implemented by iteratively adjusting the model parameters to minimize the squares sum of distances from the extracted edge pixels to the projected wire-frame. This paper describes a series of experiments and studies on various factors affect the fitting results, including the edge detectors, the weighting rules, the initial value of parameters, and the number of overlapped images. The experimental result is not only helpful to clarify the influences of each factor, but is also able to enhance the robustness of the LSMIF algorithm.

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실측치를 통한 사무소건물 슬래브축열 공조시스템의 적정 축열시간 검토 (Consideration of Appropriate Thermal Storage Time of Air-Conditioning System with Slab Thermal Storage in an Office Building by Use of Measurement Value)

  • 정재훈
    • 설비공학논문집
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    • 제22권10호
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    • pp.719-726
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    • 2010
  • In this paper, the appropriate thermal storage time of an air-conditioning system with slab thermal storage was considered by use of summer measurement values. Two standards of heat extraction rate and criterion function were established as the standard that evaluates appropriateness. When heat extraction rate was a standard, zero hour and seven hours were obtained as appropriate thermal storage time, in the case of evaluation by energy consumption and running cost individually. Also, when criterion function was a standard, the difference between energy consumption and running cost was small, it was because the weight function to room air temperature deviation was much bigger than heat extraction rate.