• Title/Summary/Keyword: Aerial Ortho-Image

Search Result 80, Processing Time 0.022 seconds

The Case Study : The Efficiency of Using UAV and 3D-model for Mine Reclamation Work Monitoring (무인항공기와 3차원 지표모델의 광해방지사업 모니터링에 대한 효율성 고찰)

  • Kim, Seyoung;Yu, Jaehyung;Shin, Ji Hye;Lee, Gilljae
    • Journal of the Mineralogical Society of Korea
    • /
    • v.30 no.1
    • /
    • pp.1-9
    • /
    • 2017
  • This study investigated the effectiveness of Unmanned Aerial Vehicle (UAV) and 3D modeling on mine reclamation monitoring. The high spatial resolution of 3.8 cm ortho-mosaic image and Digital Elevation Model (DEM) are constructed based on UAV air survey. The ortho-mosaic image effectively shows mine reclamation activities and recognize objects and topological changes in the image. The comparative analysis of 3D models between UAV based DEM and report based DEM reveals that total amount of $268,672m^3$ additional dumping of contaminated soil is equivalent to 710,000 ton. It concludes that a UAV based survey enables high accuracy spatial information extraction for mine reclamation activities with high efficiency. It is expected that UAV survey will be very effectively used for preliminary data acquisition and project monitoring for mine reclamation activities.

Comparison the Mapping Accuracy of Construction Sites Using UAVs with Low-Cost Cameras

  • Jeong, Hohyun;Ahn, Hoyong;Shin, Dongyoon;Choi, Chuluong
    • Korean Journal of Remote Sensing
    • /
    • v.35 no.1
    • /
    • pp.1-13
    • /
    • 2019
  • The advent of a fourth industrial revolution, built on advances in digital technology, has coincided with studies using various unmanned aerial vehicles (UAVs) being performed worldwide. However, the accuracy of different sensors and their suitability for particular research studies are factors that need to be carefully evaluated. In this study, we evaluated UAV photogrammetry using smart technology. To assess the performance of digital photogrammetry, the accuracy of common procedures for generating orthomosaic images and digital surface models (DSMs) using terrestrial laser scanning (TLS) techniques was measured. Two different type of non-surveying camera(Smartphone camera, fisheye camera) were attached to UAV platform. For fisheye camera, lens distortion was corrected by considering characteristics of lens. Accuracy of orthoimage and DSM generated were comparatively analyzed using aerial and TLS data. Accuracy comparison analysis proceeded as follows. First, we used Ortho mosaic image to compare the check point with a certain area. In addition, vertical errors of camera DSM were compared and analyzed based on TLS. In this study, we propose and evaluate the feasibility of UAV photogrammetry which can acquire 3 - D spatial information at low cost in a construction site.

Automatic Generation of Land Cover Map Using Residual U-Net (Residual U-Net을 이용한 토지피복지도 자동 제작 연구)

  • Yoo, Su Hong;Lee, Ji Sang;Bae, Jun Su;Sohn, Hong Gyoo
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.40 no.5
    • /
    • pp.535-546
    • /
    • 2020
  • Land cover maps are derived from satellite and aerial images by the Ministry of Environment for the entire Korea since 1998. Even with their wide application in many sectors, their usage in research community is limited. The main reason for this is the map compilation cycle varies too much over the different regions. The situation requires us a new and quicker methodology for generating land cover maps. This study was conducted to automatically generate land cover map using aerial ortho-images and Landsat 8 satellite images. The input aerial and Landsat 8 image data were trained by Residual U-Net, one of the deep learning-based segmentation techniques. Study was carried out by dividing three groups. First and second group include part of level-II (medium) categories and third uses group level-III (large) classification category defined in land cover map. In the first group, the results using all 7 classes showed 86.6 % of classification accuracy The other two groups, which include level-II class, showed 71 % of classification accuracy. Based on the results of the study, the deep learning-based research for generating automatic level-III classification was presented.

Use of a Drone for Mapping and Time Series Image Acquisition of Tidal Zones (드론을 활용한 갯벌 지형 및 시계열 정보의 획득)

  • Oh, Jaehong;Kim, Duk-jin;Lee, Hyoseong
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.27 no.2
    • /
    • pp.119-125
    • /
    • 2017
  • The mud flat in Korea is the geographical feature generated from the sediment of rivers of Korea and China and it is the important topography for pollution purification and fishing industry. The mud flat is difficult to access such that it requires the aerial survey for the high-resolution spatial information of the area. In this study we used drones instead of the conventional aerial and remote sensing approaches which have shortcomings of costs and revisit times. We carried out GPS-based control point survey, temporal image acquisition using drones, bundle adjustment, stereo image processing for DSM and ortho photo generation, followed by co-registration between the spatio-temporal information.

Ortho-image Generation using 3D Flight Route of Drone (드론의 3D 촬영 경로를 이용한 정사영상 제작)

  • Jonghyeon Yoon;Gihong Kim;Hyun Choi
    • Journal of the Korean Society of Industry Convergence
    • /
    • v.26 no.5
    • /
    • pp.775-784
    • /
    • 2023
  • Drone images are being used more and more actively in the fields of surveying and spatial information, and are rapidly replacing existing aerial and satellite images. The technology of quickly acquiring real-time data at low cost and processing it is now being applied to actual industries beyond research. However, there are also problems encountered as this progresses. When high-resolution spatial information is acquired using a general 2D flight plan for a terrain with sever undulations, problems arise due to the difference in resolution of the data. In particular, when a low-altitude high-resolution image is taken using a drone in a mountainous or steep terrain, there may be a problem in image matching due to a resolution difference caused by terrain undulations. This problem occurs because a drone acquires data while flying on a 2D plane at a fixed altitude, just like conventional aerial photography. In order to acquire high-quality 3D data using a drone, the scale difference for the shooting distance should be considered. In addition, in order to obtain facade images of large structures, it is necessary to take images in 3D space. In this study, in order to improve the disadvantages of the 2D flight method, a 3D flight plan was established for the study area, and it was confirmed that high-quality 3D spatial information could be obtained in this way.

NDVI Based on UAVs Mapping to Calculate the Damaged Areas of Chemical Accidents (화학물질사고 피해영역 산출을 위한 드론맵핑 기반의 정규식생지수 활용방안 연구)

  • Lim, Eontaek;Jung, Yonghan;Kim, Seongsam
    • Korean Journal of Remote Sensing
    • /
    • v.38 no.6_3
    • /
    • pp.1837-1846
    • /
    • 2022
  • The annual increase in chemical accidents is causing damage to life and the environment due to the spread and residual of substances. Environmental damage investigation is more difficult to determine the geographical scope and timing than human damage investigation. Considering the reality that there is a lack of professional investigation personnel, it is urgent to develop an efficient quantitative evaluation method. In order to improve this situation, this paper conducted a chemical accidents investigation using unmanned aerial vehicles(UAV) equipped with various sensors. The damaged area was calculated by Ortho-image and strength of agreement was calculated using the normalized difference vegetation index image. As a result, the Cohen's Kappa coefficient was 0.649 (threshold 0.7). However, there is a limitation in that analysis has been performed based on the pixel of the normalized difference vegetation index. Therefore, there is a need for a chemical accident investigation plan that overcomes the limitations.

3D line segment detection using DEM (DEM을 이용한 3차원 선소추출)

  • Lee, Jeong-Yong;Woo, Dong-Min
    • Proceedings of the KIEE Conference
    • /
    • 2004.11c
    • /
    • pp.141-143
    • /
    • 2004
  • This paper represents 3D line segment extraction method, which can be used in generating 3D rooftop model. The core of our method is that 3D line segment is extracted by using line fitting of elevation data on 2D line coordinates of ortho-image. In order to use elevations in line fitting, the elevations should be reliable. To measure the reliability of elevation, in this paper, we employed the concept of self-consistency. We carry out the experiment of 3D line extraction using synthetic images generated from Avenches data set of Ascona aerial images.

  • PDF

The Generation of Accurate Digital Orthophoto by DTM Accuracy Improvement (DTM의 정확도 향상에 의한 정밀 수치정사사진 생성)

  • 박운용;이기부;정성모;이인수
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.16 no.2
    • /
    • pp.243-250
    • /
    • 1998
  • From early plane-table photogrammetry through the analog and analytical stages, photogrammetry has now reached the digital photogrammetry stage using the image stored at computers. Digital Photogrammetry using aerial photograph generates the DTM and digital orthophoto. Expecially, DTM is important for improving the accuracy of digital ortho photo. so Many experimental are required. In this study, therefore deals with the generation process of digital orthophotos using DTM with breakline and without breakline.

  • PDF

Application of Geospatial Information Utilization System using Unmanned Aerial Image (무인항공 영상을 이용한 공간정보 응용 시스템 활용 방안)

  • Lee, Keun-Wang;Park, Joon-Kyu
    • Journal of Digital Convergence
    • /
    • v.17 no.2
    • /
    • pp.201-206
    • /
    • 2019
  • Korea is constructing geospatial information application system for geospatial information utilization, but it is trying to establish a system for joint use of geospatial information system centering on Ministry of Land Transport and Transport due to the problem of sharing. The purpose of this study is to investigate and analyze the geospatial information application system operated by local governments, and to suggest the application of geospatial information application system using unmanned aerial images. As a result of the research, it was found that the functions of existing spatial information application system are concentrated on the public services and it is difficult to share and utilize data between administrative departments. In addition, the utilization of the system using unmanned aerial image has been suggested, and additional functions such as vector display, area calculation, and report generation have been derived to improve the usability of geospatial information application system. If additional functions of spatial information application system are added through further studies in the future, it will be possible to use it as a basic data of field survey and policy decision in related fields. And non-experts will be able to improve the efficiency of work by utilizing highly accurate geospatial information in various fields.

Accuracy Assessment on the Stereoscope based Digital Mapping Using Unmanned Aircraft Vehicle Image (무인항공기 영상을 이용한 입체시기반 수치도화 정확도 평가)

  • Yun, Kong-Hyun;Kim, Deok-In;Song, Yeong Sun
    • Journal of Cadastre & Land InformatiX
    • /
    • v.48 no.1
    • /
    • pp.111-121
    • /
    • 2018
  • RIn this research, digital elevation models, true-ortho image and 3-dimensional digital complied data was generated and evaluated using unmanned aircraft vehicle stereoscopic images by applying photogrammetric principles. In order to implement stereoscopic vision, digital Photogrammetric Workstation should be used necessarily. For conducting this, in this study GEOMAPPER 1.0 is used. That was developed by the Ministry of Trade, Industry and Energy. To realize stereoscopic vision using two overlapping images of the unmanned aerial vehicle, the interior and exterior orientation parameters should be calculated. Especially lens distortion of non-metric camera must be accurately compensated for stereoscope. In this work. photogrammetric orientation process was conducted using commercial Software, PhotoScan 1.4. Fixed wing KRobotics KD-2 was used for the acquisition of UAV images. True-ortho photo was generated and digital topographic map was partially produced. Finally, we presented error analysis on the generated digital complied map. As the results, it is confirmed that the production of digital terrain map with a scale 1:2,500~1:3,000 is available using stereoscope method.