• Title/Summary/Keyword: Aerial orthophoto

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Orhtophoto Accuracy Assessment of Ultra-light Fixed Wing UAV Photogrammetry Techniques (초경량 고정익무인항공기 사진측량기법의 정사영상 정확도 평가)

  • Lee, In Su;Lee, Jae One;Kim, Su Jeong;Hong, Soon Heon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.6
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    • pp.2593-2600
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    • 2013
  • The main purpose of this study is to carry out the performance evaluation of Ultra-light Fixed Wing UAV(Unmanned Aerial Vehicle) photogrammetry which is being, currently, applied for various fields such as cultural assets, accident survey, military reconnaissance work, and disaster management at home and abroad. Firstly, RMSE estimation of Aerial Triangulation (AT) are within approximately 0.10 cm in position (X, Y). And through the comparison of parcel's boundary points coordinates by terrestrial surveying and by UAV photogrammetry, the analysis shows that RMSE are shifted approximately 0.174~0.205 m in X-direction, 0.294~0.298 m in Y-direction respectively. Lastly, parcel's area by orthophoto of UAV photogrammetry and by that of cadastre register has been shown the difference by 0.118 m2. The results presented in this study is just one case study of orthophoto accuracy assessment of Ultra-light fixed wing UAV photogrammetry, hereafter various researches such as AT, direct-georeferencing, flight planning, practical applications, etc. should be necessary continuously.

Development of flow measurement method using drones in flood season (I) - aerial photogrammetry technique (드론을 이용한 홍수기 유량측정방법 개발(I) - 항공사진측량 기법 적용)

  • Lee, Tae Hee;Lim, Hyeokjin;Yun, Seong Hak;Kang, Jong Wan
    • Journal of Korea Water Resources Association
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    • v.53 no.12
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    • pp.1049-1057
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    • 2020
  • This study aimed to develop a flow measurement method using drone in flood season. Measuring flow in all branches is difficult to conduct annually due to budget and labor limitation, safety and river works. Especially when heavy rain like storm comes, changes in stage-discharge relationship should be reviewed; however, it is usually impeded by the aforementioned issues. To solve the problem, it developed a simple measuring method with a minimum of labor and time. A numeric map and numeric orthophoto coordinate of South Korea are mostly based on Transverse Mercator Projection (TM) in accordance with rectangular coordinate system and use World Geodetic Reference System 1980 (GRS80) oval figure for conversion. Applying a concept of aerial photogrammetry, it located four visible Ground Control Points (GCP) near the river at Uijeongbu-si (Singok Bridge) and Yeongdong-gun (Youngdong 2nd Bridge) station and measured the coordinates using VRS DGPS. Hovering at a same level, drones took orthophoto of water surface at an interval of 3 seconds. It defined the pictures with GRS80 TM coordinate system, a rectangular coordinate system and then conducted an orthometric correction using GCP coordinates. According to X and Y coordinate analysis, it estimated the distance between the floating positions at 3 seconds-intervals and calculated the flow through the flow area according to the flow path. This study attested applicability of the flow measurement method using drone in flood season by applying the rectangular coordinate system based on the concept of aerial photogrammetry.

Extracting Roof Edges of Small Buildings from Digital Aerial Photographs (수치항공사진으로부터 소형건물의 지붕 경계 추출)

  • Lee, Jin-Duk;Bhang, Kon-Joon;Kim, Sung-Hoon;Lee, Kyu-Dal
    • The Journal of the Korea Contents Association
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    • v.14 no.5
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    • pp.425-435
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    • 2014
  • The research for extracting man-made features such as building and road from the aerial photograph or satellite imagery has been performed actively. As lately the resolution of digital aerial photographs was improved, unwanted features(noise) would be often detected. An edge detection algorithm is developed to make up for such a noise problem, make boundaries of wanted objects clear and extract only needed features. The algorithm developed in this research performs separating RGB channels, differencing between channels, transforming in to binary images, excluding noises and restoring shapes, and edge extraction in order. The images to be used for edge detection are prepared through bundle adjustment, DTM extraction, orthorectification and mosaicking. The roof edges of small building on preprocessed digital aerial orthophotos were extracted using the algorithm developed in this study. The validity of the algorithms was proved by comparing edge results of small building extracted in this study with those of conventional methods.

Constructing Forest Information Management System using GIS and Aerial Orthophoto (GIS와 항공정사사진을 이용한 산림정보 관리시스템 구축)

  • Kim, Joon-Bum;Jo, Myung-Hee;Kwon, Tae-Ho;Kim, In-Ho;Jo, Yun-Won;Shin, Dong-Ho
    • Journal of the Korean Association of Geographic Information Studies
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    • v.7 no.2
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    • pp.57-68
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    • 2004
  • Recently in order to more effectively and scientifically process forest official tasks, which have been focused on documents and inventories, they should be applied with the up-to-date spatial information technologies. Especially, the forest resource information management based on GIS(geographic information system) and aerial orthophoto is expected not only to play an important role as DSS(decision support system) for domestic forest conservation policy and forestry development industry but also to service forest resource information toward people such as the owners of a mountain rapidly. In this study, the important forest information such as digital topography map, digital forest type map, digital forest cadastral map, digital aerial photographs and attribute data were first reprocessed and constructed in DBMS(data base management system). In addition, forest officials could analyze and retrieve forest information by using detail sub-application systems such as forest cadastral retrieval, forest land development information management, reserved forest information management and forest resource information retrieval. For this, the user interface is developed by using Visual Basic 6.0 and MapObjects 2.1 of ESRI based on CBD(component based development) technology. The result of developing this system will not only perform constructing economical forest and better environment but also be the foundation of domestic spatial technology for forest resource management.

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Demonstration of UAS Image-Based Intellectual Demarcation in Cadastral Reexaminationy (지적재조사에서 UAS 영상 기반 지적 경계확정 시범 연구)

  • Kim, Dal-Joo;Kang, Joon-Oh;Han, Woong-ji;Lee, Yong-Chang
    • Journal of Urban Science
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    • v.7 no.1
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    • pp.29-38
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    • 2018
  • The cadastral rehabilitation project, which has been implemented since 2012, is a project to re-examine the national land that is not in conformity with the cadastral map, There is a lot of trouble in securing financial resources for business execution. This study examines the utility of UAS(Unmanned Aerial System) image - based cadastral demarcation as an alternative to budget reduction in the current state of cadastral rehabilitation, reasonable boundary adjustment, UAV(Unmanned Aerial Vehicles) is used to create 3D models and orthoimages of business districts, and to check accuracy by superimposing and comparing with digital maps of NGII(National Geographic Information Institute). As a result of the study, the accuracy of the 3D model and the orthoimage through the SfM(Structure-from-Motion) - based image interpretation of the digital map of the NGII were derived. In particular, we confirmed the similarity of UAS-based orthoimage with the cadastral boundaries affirmation, It is anticipated that the cost saving effect of current survey and boundary survey can be expected. In addition, it is easy to prepare a report to reduce civil complaints, which is a problematic element of the adjustment.

The Generation of Digital Orthophotos and Three Dimensional Models of an Urban Area from Digital Aerial Photos

  • Lee, Jin-Duk
    • Korean Journal of Geomatics
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    • v.2 no.2
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    • pp.131-137
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    • 2002
  • The digital photogrammetric products have been increasingly used as an accurate foundation for representing information associated with infrastructure management. The technological advances in merging raster and vector data within the framework of GIS have allowed for the inclusion of DTMs and digital orthophotos with vector data and its associated attributes. This study addresses not only generating DEMs and digital orthophotos but producing three dimensional building models from aerial photos of an urban area by employing the digital photogrammetric technology. DEMs and digital orthophotos were automatically generated through the process of orientations, image matching and so on, and then the practical problems, which must be solved especially in applying to urban areas, were considered. The accuracy of produced digital orthophotos was derived by using check points. Also three dimensional visualization imagery, which is useful in the landform analysis, and 3D building models were produced. Digital photogrammetric products would be used widely not only as GIS framework data layers by using the GIS link function which links attribute and image information in the database for applying to infrastructure management and but as geospatial data for especially 3D GIS in urban areas.

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PHOTOGRAMMETRIC PROCESSING OF HIGH MOUNTAINS IN NEPAL

  • Baral, Toya Nath
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.85-92
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    • 2003
  • Application of traditional aerial survey technologies for topographic mapping purposes has a number of principal problems. The growing worldwide acceptance of digital orthophotos has understood this need. Many trekking and expedition teams are expecting digital orthophoto and consequently 3D animation of the highest peaks and possible trekking routes, camping sites and information on how difficult the routes may be. In recent years, inexpensive computers and advance of computer technologies contributed to the rapid development of digital photogrammetry (Dowman et al., 1992; Heipke, 1995). Successful implementation of digital photogrammetric workstations in mapping have been found in various disciplines (Chen et al., 1998; Skalet et al., 1992). This paper highlights the results of the conventional photogrammetry and the possible advantages of digital photogrammetry over these and also the problems, issues and implications during digital Photogrammetric processing of high mountainous region in Asia.

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A Study on the Building Height Estimation and Accuracy Using Unmanned Aerial Vehicles (무인비행장치기반 건축물 높이 산출 및 정확도에 관한 연구)

  • Lee, Seung-weon;Kim, Min-Seok;Seo, Dong-Min;Baek, Seung-Chan;Hong, Won-Hwa
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.36 no.2
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    • pp.79-86
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    • 2020
  • In order to accommodate the increase in urban population due to government-led national planning and economic growth, many buildings such as houses and business building were supplied. Although the building law was revised and managed to manage the supplied buildings, for the sake of economic benefit, there have been buildings that are enlarged or reconstructed without declaring building permits. In order to manage these buildings, on-site surveys were conducted. but it has many personnel consumption. To solve this problem, a method of using a satellite image and a manned aircraft is utilized, but it is diseconomical and a renewal cycle is long. In addition, it is not utilized to the height, and although it is judged by the shading of the building, it has limitations that it must be calculated individually. In this study, height of the building was calculated by using the unmanned aerial vehicle with low personnel consumption, and the accuracy was verified by comparison with the building register and measured value. In this study, spatial information was constructed using a fast unmanned aerial vehicle with low manpower consumption and the building height was calculated based on this. The accuracy by comparing the calculated building height with the building register and the actual measurement.

Orthophoto Application for Geo-spatial Information Acquisiton of Construction Area(DAM) (공사지역(댐)의 지형정보구축을 위한 정사영상의 활용)

  • 한승희;이형석;이성순
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.18 no.4
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    • pp.395-403
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    • 2000
  • It is so sensitive that the matter of compensation for private possessions caused in the course of public construction planning is very important. Especially, more logical planning is necessary when the dam be constructed, because it is mainly controlled by the surface of water, and if that planning is made public, artificial change is occurred in land use in that area for the purpose of rising the compensation. In this study, the plan for the application of aerial photo based ortho image was drew up for solving these problems and for the rational, rapid compensation. Ortho image was made by aerial photo, used as reading material for the change in land use. The modeling of drainage basin, came under the planning surface of water, and the 3D simulation were performed for the scene analysis, the change understanding in land use for a lot number in a certain period by overlapping the digital image, the digital land registration map, and the digital topography map as well as the analysis of the admitted land followed by the height of reservoir water.

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Detection of Plastic Greenhouses by Using Deep Learning Model for Aerial Orthoimages (딥러닝 모델을 이용한 항공정사영상의 비닐하우스 탐지)

  • Byunghyun Yoon;Seonkyeong Seong;Jaewan Choi
    • Korean Journal of Remote Sensing
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    • v.39 no.2
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    • pp.183-192
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    • 2023
  • The remotely sensed data, such as satellite imagery and aerial photos, can be used to extract and detect some objects in the image through image interpretation and processing techniques. Significantly, the possibility for utilizing digital map updating and land monitoring has been increased through automatic object detection since spatial resolution of remotely sensed data has improved and technologies about deep learning have been developed. In this paper, we tried to extract plastic greenhouses into aerial orthophotos by using fully convolutional densely connected convolutional network (FC-DenseNet), one of the representative deep learning models for semantic segmentation. Then, a quantitative analysis of extraction results had performed. Using the farm map of the Ministry of Agriculture, Food and Rural Affairsin Korea, training data was generated by labeling plastic greenhouses into Damyang and Miryang areas. And then, FC-DenseNet was trained through a training dataset. To apply the deep learning model in the remotely sensed imagery, instance norm, which can maintain the spectral characteristics of bands, was used as normalization. In addition, optimal weights for each band were determined by adding attention modules in the deep learning model. In the experiments, it was found that a deep learning model can extract plastic greenhouses. These results can be applied to digital map updating of Farm-map and landcover maps.