• Title/Summary/Keyword: 영상도시

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Spatial Replicability Assessment of Land Cover Classification Using Unmanned Aerial Vehicle and Artificial Intelligence in Urban Area (무인항공기 및 인공지능을 활용한 도시지역 토지피복 분류 기법의 공간적 재현성 평가)

  • Geon-Ung, PARK;Bong-Geun, SONG;Kyung-Hun, PARK;Hung-Kyu, LEE
    • Journal of the Korean Association of Geographic Information Studies
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    • v.25 no.4
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    • pp.63-80
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    • 2022
  • As a technology to analyze and predict an issue has been developed by constructing real space into virtual space, it is becoming more important to acquire precise spatial information in complex cities. In this study, images were acquired using an unmanned aerial vehicle for urban area with complex landscapes, and land cover classification was performed object-based image analysis and semantic segmentation techniques, which were image classification technique suitable for high-resolution imagery. In addition, based on the imagery collected at the same time, the replicability of land cover classification of each artificial intelligence (AI) model was examined for areas that AI model did not learn. When the AI models are trained on the training site, the land cover classification accuracy is analyzed to be 89.3% for OBIA-RF, 85.0% for OBIA-DNN, and 95.3% for U-Net. When the AI models are applied to the replicability assessment site to evaluate replicability, the accuracy of OBIA-RF decreased by 7%, OBIA-DNN by 2.1% and U-Net by 2.3%. It is found that U-Net, which considers both morphological and spectroscopic characteristics, performs well in land cover classification accuracy and replicability evaluation. As precise spatial information becomes important, the results of this study are expected to contribute to urban environment research as a basic data generation method.

A Comparative Study of Geocoding Methods for Radarsat Image - According to the DEM Resolutions - (Radarsat 영상의 기하보정 방법에 대한 비교 연구 - DEM 해상도에 따라 -)

  • 한동엽;박민호;김용일
    • Korean Journal of Remote Sensing
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    • v.14 no.1
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    • pp.69-82
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    • 1998
  • SAR imagery can overcome the limitations of electro-optical sensor imagery and provide us Information which plays a supplementary role. But it is necessary to remove a variety of geometric errors in SAR imagery. An accurate geometric correction of SAR imagery is not easy task to achieve, though some techniques and theories are introduced. We also have difficulties such as transformation problem between 'International' ellipsoid in Radarsat system and 'Bessel' ellipsoid. Two widely used correction method, one is made by simulated image, and the other by collinearity equation, usually use DEM. In this study, the merits and demerits of geocoding methods respectively and the effective method for Korean terrain were found.

Prepare a plan to utilize data collected through field demonstration of multi-sensing devices to improve urban flood monitoring (도심지 홍수 모니터링 향상을 위한 멀티센싱 기기의 현장실증을 통해 수집된 데이터의 활용방안 마련)

  • Seung Kwon Jung;Soung Jong Yoo;Su Won Lee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.19-19
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    • 2023
  • 최근 기후변화에 의해 단기간에 많은 양의 집중호우가 발생하여 도시지역의 침수 피해가 증가하고 있다. 이에 도시지역의 홍수 피해 해결을 위해 도심지 홍수 발생 시 홍수정도 및 상황을 파악할 수 있는 장비가 개발되었으나, 실용화 단계까지는 진행이 미흡한 상황이다. 또한 기존 도시지역 홍수 현상 및 원인을 분석하기 위해 수치모형을 활용하고 있으나, 우수관망의 노후화 및 초기 강우패턴 적용에 대한 정확한 해석결과의 어려워 활용성이 낮다. 또한 홍수정도와 발생상황 인지를 위한 계측 장비의 개발 연구는 지속적으로 진행되고 있으나, 계측 장비의 높은 가격으로 전국적으로 설치 할 수 없는 상황으로 이를 대응하기 위한 별도의 방안 마련이 필요한 실정이다. 이를 위해 본 과제에서는 고성능·저비용 계측센서를 개발하여 실용화 가능성을 높이고, 전국에 산재되어있는 CCTV(교통상황, 방법용 등)의 영상을 활용한 침수상황 인지 기술 개발, 계측 데이터와 모니터링 데이터의 활용을 위한 빅데이터 개방 플랫폼을 구축하여, 상습 침수지역에 대해 실시간 감시가 가능한 계측 시스템의 정형 데이터와 CCTV 및 영상 등 모니터링 장비의 비정형 데이터의 분석 기술을 결합한 새로운 도심지 홍수 감시 기술의 개발을 목표로 한다. 이를 위해 본 연구 1차년도에 지표면 침수심 계측센서와 우수관망 월류심 계측센서를 개발하였으며, 2차년도에는개발된 계측센서의 현장실증을 통해 데이터를 수집한다. 수집된 계측센서 데이터와 비정형(CCTV 영상) 데이터의 AI학습을 통해 분석된 침수심, 침수범위, 침수면적 데이터는 도심지 홍수 정보 프로그램을 통해 표출되며, 최종적으로는 현장 상황을 쉽게 파악 가능한 3D 레이어의 형식으로 표출하고자 한다. 추후 도심지 홍수 정보 프로그램을 통해 표출되는 3D 레이어는 환경부가 추진하는 DT(Digital Twin) 연계 인공지능(AI) 홍수예보 사업과의 연계 시 도심지 홍수 지도 구축을 위한 자료로 활용될 수 있을 것으로 판단된다.

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Heatwave Vulnerability Analysis of Construction Sites Using Satellite Imagery Data and Deep Learning (인공위성영상과 딥러닝을 이용한 건설공사현장 폭염취약지역 분석)

  • Kim, Seulgi;Park, Seunghee
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.2
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    • pp.263-272
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    • 2022
  • As a result of climate change, the heatwave and urban heat island phenomena have become more common, and the frequency of heatwaves is expected to increase by two to six times by the year 2050. In particular, the heat sensation index felt by workers at construction sites during a heatwave is very high, and the sensation index becomes even higher if the urban heat island phenomenon is considered. The construction site environment and the situations of construction workers vulnerable to heat are not improving, and it is now imperative to respond effectively to reduce such damage. In this study, satellite imagery, land surface temperatures (LST), and long short-term memory (LSTM) were applied to analyze areas above 33 ℃, with the most vulnerable areas with increased synergistic damage from heat waves and the urban heat island phenomena then predicted. It is expected that the prediction results will ensure the safety of construction workers and will serve as the basis for a construction site early-warning system.

PPK GNSS System based UAV Photogrammetry for Construction of Urban Disaster Prevention Information (도시방재정보 구축을 위한 PPK GNSS 기반의 무인항공사진측량)

  • Park, Joon Kyu;Kim, Min Gyu
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.4
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    • pp.355-362
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    • 2017
  • Recently, UAV(Unmanned Aerial Vehicle) have been utilized in various fields, including surveys, mapping, and spatial analysis, depending on the increase in demand for spatial information and UAV is receiving a lot of attention due to rapid data acquisition and economic viability. In this study, the applicability of UAV image images was analyzed for urban disaster prevention. UAV images were acquired for the study area and digital surface model and ortho image were generated through data processing. Also, the process using PPK(Post Processed Kinematic) GNSS method is compared with existing method. Through the research, it was able to effectively deploy urban disaster prevention information about the target area, and displayed the effectiveness of the methods for efficient comparison with existing unmanned aerial photogrammetry. If the PPK technique is applied to thethe disaster prevention field, it is expected that the work flow in the field of rapid data acquisition and disaster prevention data construction can be greatly improved.

Estimation of Storage Capacity using Topographical Shape of Sand-bar and High Resolution Image in Urban Stream (도시하천의 지형태 자료와 영상정보를 이용한 수체적 시험평가)

  • Lee, Hyun Seok;Lee, Geun Sang
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.3D
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    • pp.445-450
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    • 2008
  • Recently, environmental and ecological approaches is in progress in urban stream, especially the guarantee of instream flow becomes very important. In this paper, it is suggested that water volume estimation method utilizing the topographical shape data obtained by field investigation and satellite image to manage the urban stream efficiently. The data obtained at Gap River is the study area are analysed and those results are as belows. First, surveying to investigate topographic shape characteristics of urban stream is carried out. In details, the gradient characteristics from water surface to bottom in case of sand area and in case of grass area are 0.013 and 0.065 respectively. In conclusion, the gradient characteristic of grass area is five times bigger than that of sand area. Besides, IKONOS image is classified by spectrum analysis and Minimum Distance Method and the sand area extraction method by the generalization method as Median filter is suggested to calculate water volume. Finally, mapping process on the sand area extracted from the topographical shape field data in river and satellite images is carried out by the GIS spatial analysis. And on the assumption that the water level was 1m at that time when satellite image was taken, the water volume was $225,258m^3$. It is clarified that the effect of water volume improvement was about 10.5% in comparison with water volume that had no consideration on the gradient characteristics of sand-bar.

Temperature Change Analysis for Land Use Zoning Using Landsat Satellite Imagery (Landsat위성영상에 의한 용도지역 온도변화분석)

  • Jung, Gil-Sub;Koo, Seul;Yoo, Hwan-Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.19 no.2
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    • pp.55-61
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    • 2011
  • The land use has been changed artificially and caused the result of temperature increase of city compared with the outside of city or region of park and forest. The purpose of this research is to analyze the change of the urban surface temperature with land use zoning in Jinju using Landsat TM/$ETM^+$ imagery and to provide the correlation between NDVI(Normalized Difference Vegetation Index) and urban surface temperature change. The results presented that the spatial distribution of urban surface temperature was depending on the change of NDVI values on land use zoning. Considering to the average temperature by land use zoning, industrial area was the highest temperature but green area was the lowest temperature. Also as a result of comparing the correlation between surface temperature and NDVI, the green and residential area had higher correlation values than the commercial and industrial area. These results will be played a part as one of the major factors for implementing the sustainable urban planning considering the urban heat island effect problem.

Analysis of Heat Island Characteristics Considering Urban Space at Nighttime (도시공간을 고려한 야간시간대의 열섬특성 분석)

  • Song, Bong-Geun;Park, Kyung-Hun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.15 no.1
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    • pp.133-143
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    • 2012
  • The purpose of this study is to investigate the characteristics of urban heat island considering urban space at nighttime. We used to analyze landuse and landcover data of 1:1,000 scale, DTM, and surface temperature extracted ASTER image satellite of nighttime. According to the analytical results, heat intensity in single-family residential is higher than that in industrial area, public facility area, and commercial area because the anthropogenic heat by energy consumption is released. Likewise, the temperature difference were big in the buildings of industrial area depending on operating hours. Meanwhile, green and river area had cooling impacts mitigating the urban heat island. Therefore, we have to mitigate heat intensity through constructing green space and waterfront area. As mentioned above, we think that the results of this study will be used as base data for effective spatial planning when formulating development planning to mitigate urban heat island at nighttime.

Three Dimensional Buildings Reconstruction Using LIDAR Data (LIDAR 자료를 이용한 3차원 건물 복원)

  • Kim, Seong-Sam;Yeu, Bock-Mo;Yoo, Hwan-Hee
    • 한국공간정보시스템학회:학술대회논문집
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    • 2005.05a
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    • pp.281-286
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    • 2005
  • 여러 분야에서 활용성이 증가하고 있는 도시지역에 대한 3차원 모형화 구축은 기존에는 항공사진이나 고해상도 위성영상을 주로 활용하여 왔으나, 최근에는 높은 정밀도를 보장하는 항공LIDAR 측량기법에 대한 연구가 활발히 진행되고 있다. 특히, 다양한 형태, 크기, 종류의 건물들이 존재하는 광범위한 도시지역을 모형화 하기 위하여 정밀도가 높은 LIDAR 자료를 통하여 신속하고 정확하게 현실에 가까운 건물 모형으로 복원하는 기술 개발이 요구되고 있다. 본 연구에서는 LIDAR 관측자료 및 디지털 영상, 수치지도 등의 자료를 활용하여 LIDAR자료의 전처리 과정과 다양한 필터를 적용하여 지면과 비지면 정보를 분류하였으며, LoG 연산자에 의한 건물 경계선 및 특징점 추출기법을 개발하여 도시 지역의 3차원 건물 복원기법을 제안하였다.

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Implementation of Metaverse Virtual City Using 3D Modeling (3D 모델링을 활용한 메타버스 가상 도시 구현)

  • Chung, Esther;Seo, Yongduek
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2022.11a
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    • pp.149-150
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    • 2022
  • 본 연구는 현실과는 다른 공간, 시대 및 문화적 배경 등을 디자인하고 그 속에서 살아가는 메타버스 가상 세계를 작품으로 제시한다. 제시된 작품인 언플래닛 시티(Unplanet City)는 상징적 의미가 담긴 조형 언어를 통해 새롭게 창조된 도시를 의미하며, 기존 도시와 대칭점에 있는 상상 속 세상이다. 현재 우리가 사는 플래닛과 대칭되는 언플래닛 시티에는 상징적인 건축물로 가득하며, 이 건축물들은 3D로 표현되었다. 언플래닛 시티는 작품 전체가 전시 공간이 되는 새로운 전시 공간의 활용과 확장 가능성에 목적을 둔다.

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