• Title/Summary/Keyword: Urban Image

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Producing True Orthophoto Using Multi-Dimensional Spatial Information (다차원공간정보를 이용한 실감정사영상 제작 방안)

  • Lee, Hyun-Jik
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.26 no.3
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    • pp.241-253
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    • 2008
  • Recently, it is appearing that new paradigm of urban planning that ubiquitous concept such as the u-City, uECO-City is introduced while is rising necessity about third dimensional geo-spatial information of high quality for urban area. Orthophoto can manufacture by expense and time that is less easily than digital map using personal computer even if is not highly technician and according as position relation between manmade feature and natural feature is equal, can get information of distance, angle, horizontal and vertical position coordinate of topographic, area etc.. directly through orthophoto. Also, visual effect is good that orthophoto is expressed by image and interpretation is easy to detailed part of topographic. Manufacture and practical use are consisting in various field, for it is having advantage that can recognize information effectively than digital map. Therefore, this study presents a way of generating a detailed DSM for producing a true-orthphoto of the urban area, and this study also presents a way to produce an optimum true-orthophoto for an urban area by investigating through experiment the optimum variable for the geometric and radiometric correction of the orthophoto. This study also examined the potentials of the thesis by building a 3-dimensional city model of the model region with the above thesis on optimum generating method.

Improvement of Air Temperature Analysis by Precise Spatial Data on a Local-scale - A Case Study of Eunpyeong New Town in Seoul - (상세 공간정보를 활용한 국지기온 분석 개선 - 서울 은평구 뉴타운을 사례로 -)

  • Yi, Chae-Yeon;An, Seung-Man;Kim, Kyu-Rang;Choi, Young-Jean;Scherer, Dieter
    • Journal of the Korean Association of Geographic Information Studies
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    • v.15 no.1
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    • pp.144-158
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    • 2012
  • A higher spatial resolution is preferable to support the accuracy of detailed climate analysis in urban areas. Airborne LiDAR (Light Detection And Ranging) and satellite (KOMPSAT-2, Korea Multi-Purpose Satellite-2) images at 1 to 4 m resolution were utilized to produce digital elevation and building surface models as well as land cover maps at very high(5m) resolution. The Climate Analysis Seoul(CAS) was used to calculate the fractional coverage of land cover classes in built-up areas and thermal capacity of the buildings from their areal volumes. It then produced analyzed maps of local-scale temperature based on the old and new input data. For the verification of the accuracy improvement by the precise input data, the analyzed maps were compared to the surface temperature derived from the ASTER satellite image and to the ground observation at our detailed study region. After the enhancement, the ASTER temperature was highly correlated with the analyzed temperature at building (BS) areas (R=0.76) whereas there observed no correlation with the old input data. The difference of the air temperature deviation was reduced from 1.27 to 0.70K by the enhancement. The enhanced precision of the input data yielded reasonable and more accurate local-scale temperature analysis based on realistic surface models in built-up areas. The improved analysis tools can help urban planners evaluating their design scenarios to be prepared for the urban climate.

Comparison of DEM Accuracy and Quality over Urban Area from SPOT, EOC and IKONOS Stereo Pairs (SPOT, EOC, IKONOS 스테레오 영상으로부터 생성된 도심지역 DEM의 정확도 및 성능 비교분석)

  • 임용조;김태정
    • Korean Journal of Remote Sensing
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    • v.18 no.4
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    • pp.221-231
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    • 2002
  • In this study we applied a DEM generation algorithm developed in-house to satellite images at various resolution and discussed the results. We tested SPOT images at l0m resolution, EOC images at 6.6m and IKONOS images at 1m resolution. These images include the same urban area in Daejeon city. For camera model, we used Gupta & Hartley's(1997) DLT model for all three image sets. We carried out accuracy assessment using USGS DTED for SPOT and EOC and 23 check points for IKONOS. The assessment showed that SPOT DEM had about 38m RMS error, EOC DEM 12m RMS error and IKONOS DEM 6.5m RMS error. In terms of image resolution, SPOT and EOC DEM error corresponds to 2∼4 pixels where as IKONOS DEM error 6∼7pixels. IKONOS DEM contains more errors in pixels. However, in IKONOS DEM, individual buildings, apartments and major roads are identifiable. All three DEMs contained errors due to height discontinuity, occlusion and shadow. These experiments show that our algorithm can generate urban DEM from 1m resolution and that, however, we need to improve the algorithm to minimize effects of occlusion and building shadows on DEMs.

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 Study on the Spatial Meaning of Correlation in M. Heideggers Existential Space and Situation of Fengshui (풍수의 국면과 실존공간이 갖는 공간적 의미에 관한 연구)

  • 조영배
    • Korean Institute of Interior Design Journal
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    • no.25
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    • pp.149-154
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    • 2000
  • The concept of "place" has recently been given much attention by those who discuss problems of urban design and architecture. And we used the term "existential space" denote our concept or image of the environment. To create new space means to implement existential patterns in a given environment. So, this thesis explores the spatial meaning of correlation in Heideggers Existential Space and Situation of Fengshui.tuation of Fengshui.

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A development of traffic information detection using camera

  • 김양주;한민홍
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1995.04a
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    • pp.316-323
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    • 1995
  • This paper presents an image processing technique to get traffic information such as vehicle volume, velocity, and occupancy for measuring the traffic congestion rate. To obtain these information, two horizontal lines are previously set on the screen. A moving vehicle is detected using the gray level difference on each line, and also template matching method at night. Threshold values are determined by sampling pavement grey level, and updated dynamically to cope with the change of ambient light conditions. These technique is successfully used to calculate vehicle volume, occupancy, and velocity. This study can be applied to traffic signal control system for minimizing traffic congestion in urban areas.

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Visibility Impairment by Acidic Aerosol & Carbonaceous Particles in Urban Atmosphere (산성 에어로졸과 미세탄소 입자에 의한 도시지역 시정감쇄)

  • 김경원;오승진;김영준;김문옥
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 1999.10a
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    • pp.65-66
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    • 1999
  • 도시지역의 시정변화는 일정한 경향성을 지니는 일부 오염물질들의 배출에 의해 지배적인 영향을 받는 것으로 보고되고 있다. Sulfate, nitrate는 대기중의 상대습도와 밀접한 관계를 지니고 있어서, 일일주기로 증감하는 수증기와의 반응에 의하여 입자의 크기가 성장ㆍ감소하여 대상물체의 이미지 형성광(image forming light)을 산란시킴으로써 관측자의 시야 경로부터 빛을 이탈시키는 현상을 나타낸다.(중략)

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3D urban model generation from single high resolution satellite image (단일 고해상도 위성영상으로부터 3차원 도시 모델 생성)

  • Lee, Tae-Yoon;Kim, Tae-Jung
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2008.10a
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    • pp.16-17
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    • 2008
  • 최근 3차원 도시 모델의 활용이 증가하고 있다. 본 논문에서는 단일 고해상도 위성영상으로부터 3차원 도시 모델을 생성하는 연구를 수행하였다. 3차원 도심 모델은 크게 인공지물 정보와 지형정보가 필요하다. 본 연구에서 인공지물 정보는 단일 고해상도 위성영상으로부터 건물의 그림자를 이용한 방법으로 추출하였으며, 지형정보는 기존에 구축된 수치지도로부터 수치표고자료를 생성하여 적용하였다.

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Formulation of Landscape Plan for Youngwol-gun (영월군 경관형성계획의 수립(농지조성 및 농어촌정비))

  • 김기성;최예환;이귀현;이용희
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2000.10a
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    • pp.90-95
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    • 2000
  • This plan is to suggest the guide-line as a reference focusing on unique image using characteristics of Youngwol-gun, when any type of development is conducted. The study is doing on the present status and analysis for the whole of Youngwol-gun, the basic aim and an establishment of direction for landscape plane, the landscape plan for each rural and urban area(suggestion of guide-line), and the direction for development of landscape administration.

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Analysis of Temperature Change by Forest Growth for Mitigation of the Urban Heat Island (도시열섬 완화를 위한 녹지증가에 따른 온도변화 분석)

  • Yun, Hee Cheon;Kim, Min Gyu;Jung, Kap Yong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.31 no.2
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    • pp.143-150
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    • 2013
  • Recently, environmental issues such as climate warming, ozone layer depletion, reduction of tropical forests and desertification are emerging as global environmental problems beyond national problems. And international attention and effort have been carried out in many ways to solve these problems. In this study, the growth of green was calculated quantitatively using the technique of remote sensing and temperature change was figured out through temperature extraction in the city. The land-cover changes and thermal changes for research areas were analyzed using Landsat TM images on May 2002 and May 2009. Surface temperature distribution was calculated using spectral degree of brightness of Band 6 that was Landsat TM thermal infrared sensor to extract the ground surface temperature in the city. As a result of research, the area of urban green belt was increased by $2.87km^2$ and the ground surface temperature decreased by $0.6^{\circ}C{\sim}0.8^{\circ}C$ before and after tree planting projects. Henceforth, if the additional study about temperature of downtown is performed based on remote sensing and measurement data, it will contribute to solve the problems about the urban environment.