• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1354-1358
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• 2008

수질오염관리 정책이 배출원 관리에서 유역공동체를 중심으로 한 사전 예방적 유역관리정책으로 변화됨에 따라 단순문서에 의한 오염원 자료관리 등의 업무처리체계로는 수질오염총량관리제 실시에 따른 실무지원이 어렵다. 이를 위해서는 수질오염총량관리기술지침에 근거한 하천, 호소 및 오염배출실태자료의 체계적 관리가 필요하며, 유역환경(단위유역, 소유역 등)에 대한 기초정보와 국가수질측정망 자료 및 자치단체 소하천 등의 수질자료의 연계활용이 필요하다. 따라서 경기도에서는 수질오염총량제 시행에 따른 유역관리현황 정보를 구축하고, 국가하천을 중심으로 한 중앙정부의 유역환경정보와 지방하천 및 소하천을 중심으로 한 지방자치단체의 유역환경정보를 통합, 운영함으로써 통합적인 유역관리지원 체계를 구축하고자 한다. 이를 통해 수질측정망 및 수위-유량 등 수문자료와 배수구역도, 단위유역도, 항공사진 등 지리정보를 활용한 유역관리정책 기반을 구축하고, 경기도 및 31개 시 군의 유역관리정책수립 및 시행에 필요한 논리적, 기술적 정보제공 시스템을 구축하고자 한다. 따라서 본 연구는 오염총량관리제도의 의무제 전환이 예측되는 상황에서 향후 광역시도간 광역계획 혹은 경기도내 시군의 오염총량관리계획에 능동적으로 대응하기 위해 경기도 차원의 수질측정망 자료, 오염원 실태조사 자료 및 수위-유량 등 수문자료와 배수-구역도, 토지이용도, 단위 유역도, 항공사진 등 GIS 자료 등을 데이터베이스화하여 경기도내 시 군 환경담당부서의 업무분석을 통해 업무에 활용되는 주요 환경자료에 대한 업무지원체계를 확립하기 위한 수질오염정보화 시스템을 구축하고 그 활용방안을 제시하는데 그 목적이 있다.

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.4
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• pp.79-87
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• 2008

There has been a strong demand for low altitude UAV development in rapid mapping not only to acquire high resolution image with much more low cost and weather independent, compared to satellite surveying or traditional aerial surveying, but also to meet many needs of the aerial photogrammetry. Especially, efficient geocoding of UAV imagery is the key issue. Contrary to high UAV potential for civilian applications, the technology development in photogrammetry for example direct georeferencing is in the early stage and it requires further research and additional technical development. In this study, two approaches are supposed for automatic geocoding of UAV still images by simple affine transformation and block adjustment of affine transformation using minimal ground control points and also evaluated the applicability and quality of geometric model compared to geocoded images generated by commercial S/W.

• Journal of Korean Society for Geospatial Information Science
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• v.23 no.4
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• pp.3-10
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• 2015

The various studies and applications for UAVS(Unmaned Aerial Vehicle System) have been recently increased as a new technology to create 3D spatial information rapidly and accurately. UAV(Unmanned Aerial Vehicle) is economical when comparing with conventional technique, such as satellite and aerial survey, and can quickly obtain high resolution data under 5cm. This paper examined the utilizing possibility to creating 3D spatial information and analysis the compatibility the UAV data obtained by non-metric digital camera with conventional numerical photogrammetric system. The DEM and normal orthophoto is created by exclusive S/W and DPW(Digital Photogrammetry Workstation) then analysis the accuracy of created data. As a result, the accuracy of the created DEM and normal orthophoto, which is obtained by UAV then processed by DPW, is not satisfied;so it is estimated that the compatibility the UAV data with conventional numerical photogrammetric system is low.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2006.05a
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• pp.106-111
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• 2006

텔레메틱스, 위치정보서비스, 유비쿼터스 등의 발전과 더불어 3차원 GIS의 활용은 급격히 증가할 것으로 기대된다. 특히 도시모델은 이러한 3D GIS의 근간을 이루며, 이에 도시모델의 획득과 지속적인 수정에 대한 수요 증가도 필연적이다. 따라서 본 연구에서는 기존의 도시모델 구축방법과 달리 보다 효율적이고 정밀한 도시모델을 구축하는 방법을 제시하고 실험적으로 검증하고자 하였다. 제시된 방법은 항공사진과 라이다데이터를 이용하여 지표면모델을 생성하고, 지상사진을 이용하여 건물의 정교한 3차원 모델을 생성하는 것을 핵심으로 한다. 서울시립대학교를 실험대상지역으로 선택하여 전체 23개의 건물을 포함하는 27만 $600m^2$면적의 영역에 대한 도시모델을 구축하였다. 생성된 모델에 대한 검사를 통해 건물과 지표면의 기하학적 구조가 정확하게 재현된 것을 알 수 있었다. 그러나 건물의 외벽 texture는 영상 촬영 시 나무 등에 의해 가려지는 문제, 주변 지물들에 의한 그림자 영향 등으로 깔끔하게 처리되지 못한 것을 볼 수 있었다. 결론적으로 3차원 모델 구축에 있어 texture 추출에 대한 알고리즘 개선이 요구되었고, 건물 내부도 모델링함으로써 더욱 다양한 활용방안도 생각해야 할 것이다.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.4
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• pp.63-75
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• 2016

Aquaculture has historically delivered marine products because the country is surrounded by ocean on three sides. Surveys on production have been conducted recently to systematically manage aquaculture facilities. Based on survey results, pricing controls on marine products has been implemented to stabilize local fishery resources and to ensure minimum income for fishermen. Such surveys on aquaculture facilities depend on manual digitization of aerial photographs each year. These surveys that incorporate manual digitization using high-resolution aerial photographs can accurately evaluate aquaculture with the knowledge of experts, who are aware of each aquaculture facility's characteristics and deployment of those facilities. However, using aerial photographs has monetary and time limitations for monitoring aquaculture resources with different life cycles, and also requires a number of experts. Therefore, in this study, we investigated an automatic prototype system for detecting boundary information and monitoring aquaculture facilities based on satellite images. KOMPSAT-3 (13 Scene), a local high-resolution satellite provided the satellite imagery collected between October and April, a time period in which many aquaculture facilities were operating. The ANN classification method was used for automatic detecting such as cage, longline and buoy type. Furthermore, shape files were generated using a digitizing image processing method that incorporates polygon generation techniques. In this study, our newly developed prototype method detected aquaculture facilities at a rate of 93%. The suggested method overcomes the limits of existing monitoring method using aerial photographs, but also assists experts in detecting aquaculture facilities. Aquaculture facility detection systems must be developed in the future through application of image processing techniques and classification of aquaculture facilities. Such systems will assist in related decision-making through aquaculture facility monitoring.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.1
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• pp.80-93
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• 2016

Parcel boundary demarcation in agricultural area is commonly performed by terrestrial surveying methods, which have been pointed out as drawbacks to require consuming too much time and heavy expenditure. With the developments of high performance digital aerial cameras, however, studies on cadastral boundary demarcation with an aerial photogrammetric method attract a great attention in recent years. In this paper, an approach is presented to rapidly demarcate parcel boundaries coinciding with real ground ones in agricultural areas by extracting boundaries from the high resolution aerial orthoimages based on aerial targets. In order to investigate the feasibility of the proposed method, the accuracy of coordinates and area of parcel boundaries extracted from the aerial targets appeared in orthoimages compared with that of terrestrial boundary surveying results over the selected two test agricultural areas. Aerial image data were processed taken by a ADS80 digital camera with a GSD of 8cm in Changwon region, and by a DMCII camera with a GSD of 5cm in Suwon respectively. The result shows that the accuracy of parcel demarcation using aerial images is within the tolerance limits of coordinates and areas compared with that of terrestrial surveying. The proposed method using aerial target-based high resolution aerial images is therefore expected to be usefully applied in the agricultural parcel demarcation.

• Journal of Korean Society for Geospatial Information Science
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• v.24 no.3
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• pp.49-58
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• 2016

Applications of drone in various fields have been increasing in recent years. Drone has great potential for forest management. Therefore this paper is using drone for forest damage areas. Forest damage areas is divided into caused by anthropogenic and occurs naturally, the possibility of disasters, such as slope sliding, slope failures and landslides, sediment runoff exists. Therefore, this research was to utilize the drone photogrammetry to perform the damage analysis of forest damage areas. Geometrical treatment processing results in Drone Photogrammetry, the plane position error RMSE was ${\pm}0.034m$, the elevation error RMSE was ${\pm}0.017m$. The plane position error of orthophoto RMSE was ${\pm}0.083m$, the elevation error of digital elevation model RMSE was ${\pm}0.085m$. In addition, It was possible to current state analysis of damage in forest damage areas of airborne LiDAR data of before forest damage and drone photogrammetry data of after forest damage. and application of drone photogrammetry for production base data for restoration and design in forest damage areas.

• Journal of the Korea Computer Graphics Society
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• v.2 no.1
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• pp.68-76
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• 1996

One of the major problems in GIS(Geographical Information Systems) involves acquiring 3-D terrain data. Because conventional methods such as land surveying or analysis of aerial photographs are costly, the method of using existing paper maps has been gaining considerable attention. This method demands three processing steps: 1) extraction of contours, 2) assignment of height values to the extracted contours, 3) reconstruction of 3-D terrain data. In this paper we systematically develop a procedure for acquiring 3-D terrain data from contour solutions. For the first two steps, we describe the necessary operations and roughly sketch solutions. For the last step, we propose an efficient raster-based algorithm and present the results of experiments with existing paper map images.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.587-593
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• 2019

The field of geospatial information is rapidly changing due to the development of sensor and data processing technology that can acquire location information. And demand is increasing in various related industries and social activities. The construction and utilization of three dimensional geospatial information that is easy to understand and easy to understand can be an essential element to improve the quality and reliability of related services. In recent years, 3D laser scanners are widely used as 3D geospatial information construction technology. However, 3D laser scanners may cause shadow areas where data acquisition is not possible when objects are large in size or complex in shape. In this study, 3D model of an object has been created by acquiring oblique images using an unmanned aerial vehicle and processing the data. The study area was selected, oblique images were acquired using an unmanned aerial vehicle, and point cloud type 3D model with 0.02 m spacing was created through data processing. The accuracy of the 3D model was 0.19m and the average was 0.11m. In the future, if accuracy is evaluated according to shooting and data processing methods, and 3D model construction and accuracy evaluation and analysis according to camera types are performed, the accuracy of the 3D model will be improved. In the point cloud type 3D model, Cross section generation, drawing of objects, and so on, it is possible to improve work efficiency of spatial information service and related work.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.3
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• pp.145-154
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• 2014

The road network becomes more complex and extensive. Therefore, the inconveniences are caused in accordance with the time delay of the restoration of damaged roads, demands for excessive costs on information collection, and limitations on acquisition of damage information of the roads. Recently, road centric spatial information is gathered using mobile multi sensor system for road inventory. But expensive MMS(Mobile Mapping System) equipments require high maintenance costs from beginning and takes a lot of time in the data processing. So research is needed for continuous maintenance by collecting and displaying the damaged information on a digital map using low cost mobile camera system. In this research we aim to develop the techniques for mosaic with a regular ground sample distance using successive image from oblique camera on a vehicle. For doing this, mosaic image is generated by estimating the homography of high resolution oblique image, and the ground sample distance and appropriate overlap are analyzed using high resolution aerial oblique images which contain resolution target. Based on this we have proposed the appropriate overlap and exposure interval for mobile road inventory system.