• Title/Summary/Keyword: 항공 Lidar

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Generation of 3-D City Model using Aerial Imagery (항공사진을 이용한 3차원 도시 모형 생성)

  • Yeu Bock Mo;Jin Kyeong Hyeok;Yoo Hwan Hee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.23 no.3
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    • pp.233-238
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    • 2005
  • 3-D virtual city model is becoming increasingly important for a number of GIS applications. For reconstruction of 3D building in urban area aerial images, satellite images, LIDAR data have been used mainly and most of researches related to 3-D reconstruction focus on development of method for extraction of building height and reconstruction of building. In case of automatically extracting and reconstructing of building height using only aerial images or satellite images, there are a lot of problems, such as mismatching that result from a geometric distortion of optical images. Therefore, researches of integrating optical images and existing digital map (1/1,000) has been in progress. In this paper, we focused on extracting of building height by means of interest points and vertical line locus method for reducing matching points. Also we used digital plotter in order to validate for the results in this study using aerial images (1/5,000) and existing digital map (1/1,000).

Structure Extraction in 3D Cloud Points Using Color Information and Hough Transform (색상 정보와 호프변환을 이용한 3차원 점군데이터 구조물 추출 기법 연구)

  • Kim, Nam-Woon;Roh, Yi-Ju;Jung, Kyeong-Hoon;Kim, Ki-Doo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.3
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    • pp.143-151
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    • 2009
  • In this paper, a new extraction algorithm for artificial structure in 3D cloud points of terrestrial LIDAR is described, considering that various obstacles in terrestrial LIDAR make it difficult to apply conventional algorithms which are designed for air-born LIDAR data. Firstly we use the R, G, B color information from the terrestrial LIDAR data to discriminate among the massive 3D cloud points. Hough transform is then applied to estimate the straight lines that correspond to the target structure. Finally, the structure is extracted by comparing the distance between the estimated line and 3D cloud points. The proposed algorithm is efficient in the sense that it requires the user interaction only when the reference colors are obtained. Computer simulation shows the performance to be quite satisfactory.

Building Boundary Extraction of Airborne LIDAR data by Image-Based and Point-Based Data Analysis (영상 및 점기반 자료처리에 의한 항공 라이다 자료의 건물경계추출)

  • Kim, Eui-Myoung
    • Journal of Korean Society for Geospatial Information Science
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    • v.17 no.1
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    • pp.43-52
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    • 2009
  • LIDAR data, as the source of the 3D information of buildings, are used many modeling fields such as three-dimensional city models in urban planning and the visibility analysis of buildings. This study suggests a methodology, that is characterized by combining image-based and point-based process, for minimizing the user's intervention and automatically extracting building boundary only using the LIDAR data. Image processing methodology is firstly used to separate building and non-building regions from LIDAR data. Moreover, building regions are then classified main roof into remaining parts by the statistical analysis of height values, and the remaining parts are processed separately. Through the experimental results of study areas which exist many types of buildings, for example, apartment-type, stair-type, complex-type, etc. Approximately 90% building boundaries are automatically extracted by the proposed methodology.

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A Study on the Asphalt Road Boundary Extraction Using Shadow Effect Removal (그림자영향 소거를 통한 아스팔트 도로 경계추출에 관한 연구)

  • Yun Kong-Hyun
    • Korean Journal of Remote Sensing
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    • v.22 no.2
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    • pp.123-129
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    • 2006
  • High-resolution aerial color image offers great possibilities for geometric and semantic information for spatial data generation. However, shadow casts by buildings and trees in high-density urban areas obscure much of the information in the image giving rise to potentially inaccurate classification and inexact feature extraction. Though many researches have been implemented for solving shadow casts, few studies have been carried out about the extraction of features hindered by shadows from aerial color images in urban areas. This paper presents a asphalt road boundary extraction technique that combines information from aerial color image and LIDAR (LIght Detection And Ranging) data. The following steps have been performed to remove shadow effects and to extract road boundary from the image. First, the shadow regions of the aerial color image are precisely located using LEAR DSM (Digital Surface Model) and solar positions. Second, shadow regions assumed as road are corrected by shadow path reconstruction algorithms. After that, asphalt road boundary extraction is implemented by segmentation and edge detection. Finally, asphalt road boundary lines are extracted as vector data by vectorization technique. The experimental results showed that this approach was effective and great potential advantages.

Extraction of Street Tree Information Using Airborne LIDAR Data (항공라이다 자료를 이용한 가로수 정보의 추출)

  • Cho, Du Young;Kim, Eui Myoung
    • Spatial Information Research
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    • v.20 no.6
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    • pp.45-57
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    • 2012
  • The street trees in the urban areas provide an comfortable environment to the pedestrians and drivers and play important roles to absorb the carbons. Therefore, it is necessary to acquire and manage efficiently the location, height, and crown width of street trees. This study suggests a methodology to provide quantitative information of the street trees in urban areas including the quantity, location, height, and crown width of the trees. Therefore, it is more appropriate to add functionality of changing size of the crown width of the trees in the method. In addition, the positions of the street trees were selected using the fact that street trees are generally planted along the road in a straight line. An experiment on extracting street trees was conducted in parts of Osan-si, Gyeonggi-do and the suitability of the suggested methodology was evaluated by comparing the results to a 1/1,000 digital map. Through the experimental results, the minimum, maximum, and the root mean square errors of the position of street trees were 0.5m, 1.9m, and approximately ${\pm}0.4m$, respectively.

Automatic Extraction of Building Height Using Aerial Imagery and 2D Digital Map (항공사진과 2차원 수치지형도를 이용한 건물 고도의 자동 추출)

  • Jin, Kyeong-Hyeok;Hong, Jae-Min;Yoo, Hwan-Hee;Yeu, Bock-Mo
    • Journal of Korean Society for Geospatial Information Science
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    • v.13 no.2 s.32
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    • pp.65-69
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    • 2005
  • Efficient 3D generation of cultural features, such as buildings in urban area is becoming increasingly important for a number of GIS applications. For reconstruction or 3D building in urban area aerial images, satellite images, LIDAR data have been used mainly. In case of automatically extracting and reconstructing of building height using single aerial images or single satellite images, there are a lot of problems, such as mismatching that result from a geometric distortion of optical images. Therefore, researches or integrating optical images and existing 2D GIS data(e.g. digital map) has been in progress. In this paper, we focused on extracting of building height by means or interest points and vortical line locus for reducing matching points. Also we used digital plotter in order to validate for the results in this study using aerial images(1/5,000) and existing digital map(1/1,000).

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Road Environment Black Ice Detection Limits Using a Single LIDAR Sensor (단일 라이다 센서를 이용한 도로환경 블랙아이스 검출 한계)

  • Sung-Tae Kim;Won-Hyuck Choi;Je-Hong Park;Seok-Min Hong;Yeong-Geun Lim
    • Journal of Advanced Navigation Technology
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    • v.27 no.6
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    • pp.865-870
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    • 2023
  • Recently, accidents caused by black ice, a road freezing phenomenon caused by natural power, are increasing. Black ice is difficult to identify directly with the human eye and is more likely to misunderstand it as standing water, so there is a high accident rate caused by car sliding. To solve this problem, this paper presents a method of detecting black ice centered on LiDAR sensors. With a small, inexpensive, and high-accuracy light detection and ranging (LiDAR) sensor, the temperature and inclination angle are set differently to detect black ice and asphalt by setting different reflection angles of asphalt and black ice differently in temperatures and inclinations. The LIDARO carried out in the study points out that additional research and improvement are needed to increase accuracy, and through this, more reliable black ice detection methods can be suggested. This method suggests a method of detecting black ice through early system design research by preventing accidents caused by black ice in advance.

Extraction of Building Height Model Using High Resolution Imagery and GIS Data (고해상 영상과 GIS 자료를 이용한 건물 고도 모형 추출)

  • Jin, Kyeong-Hyeok;Hong, Jae-Min;Yoo, Hwan-Hee;Yeu, Bock-Mo
    • 한국공간정보시스템학회:학술대회논문집
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    • 2005.05a
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    • pp.375-382
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    • 2005
  • 국토정보의 3차원 모형 생성에 관한 관심이 대두되면서 효율적인 3차원 자로 구축에 대한 연구가 진행되고 있다. 특히 도심 지역의 건물 고도 모형 생성에 관하여 항공사진, 위성영상 및 LIDAR에 관한 기법 개발이 활발해 지고 있다. 항공사진 및 위성영상만을 이용하여 건물고도 모형을 생성할 경우, 기복변위로 인해 입체 영상의 영상정합 시 오정합이 발생하므로 건물 고도 모형 생성에는 많은 어려움이 있다 이에 단일 자료만을 이용하지 않고 관련 자료원을 함께 사용함으로써 보다 효과적이고 정확한 자료 생성을 위하여 항공사진과 수치지형도를 활용하는 연구가 수행되고 있다. 본 연구에서는 수치지형도(1/1,000)와 항공사진(1/5,000)을 이용하여 효과적인 건물 고도 모형 생성 관한 연구를 수행하였으며, 관심점 검출 기법과 영상 정합 시 탐색 범위의 기하학적 제약 수단인 수직선 제적 이론을 병합한 새로운 기법을 개발하였다. 본 연구 성과를 검증하기 위하여 연구 성과와 수치도화 장비를 이용한 건물 고도 모형과의 정확도를 비교 평가하였다.

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Analysis of Low Altitude Wind Profile Data from Wind Lidar for Drone Aviation Safety (드론의 안전 비행을 위한 윈드라이다 저고도 바람 분석 방법 제시)

  • Kim, Je-Won;Ryu, Jung-Hee;Na, Seong-Jun;Seong, Seong-Cheol
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.50 no.12
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    • pp.899-907
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    • 2022
  • According to the Unmanned aircraft system Traffic Management (UTM), drones are permitted to fly up to 150m above ground, which is located in the atmospheric boundary layer where there is considerable wind fluctuation due to turbulence. Although it is difficult to predict when turbulence will occur drone aviation safety could be enhanced by having a better understanding of the characteristics of vertical profile of wind in the flight area. We used wind lidar (WIndMast 350M) to observe vertical profiles of wind at the test site for aviation meteorological observation equipment located near Incheon International Airport in July and September, 2022. In this study, we utilized the observed wind profile data to propose a technique for obtaining information that could help improve the drone aviation safety. The Fourier transform analysis is used to evaluate the temporal characteristics of the horizontal wind speed at various vertical levels up to 350m. We also examined the relative contribution of the variance of wind having scales of less than an hour, a crucial scale for drone flight, to the variance of wind having all scales at each vertical altitude for days with and without precipitation.

Coastline Extraction from Airborne LiDAR Data (항공라이다데이터를 이용한 해안선 추출)

  • Kim Seong-Joon;Lee Im-Pyeong;Kim Yong-Cheol;Cheong Hyun
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2006.04a
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    • pp.457-462
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    • 2006
  • Coastline has been considered as fundamental geographic information of a nation. Recently, the coastlines of higher resolution and accuracy with less update period ever than before are increasingly required. This requirement cannot be easily satisfied with the most traditional methods based on field survey such as leveling or GPS measurements. The newly developed airborne LIDAR system can be used as a promising alternative since it rapidly acquire numerous three-dimensional points densely sampled from the terrain around the coastline. Hence, in this study we developed a nearly automatic method to extract the coastline from LIDAR data and applied it to real data to verify its performance. From the comparison of the extracted coastlines with those from a digital map, we conclude that the proposed method can provide more accurate and precise lines.

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