• Title/Summary/Keyword: 지상 기준점

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Study on the Utilizing Methods of Spatial Information Education Based on the GIS Contents (신설도로건설 구간의 지형분석에서의 위성영상 적용실험)

  • Yeon Sang-Ho;Kim Joo-Il;Lee Jin-Duck
    • Proceedings of the Korea Contents Association Conference
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    • 2005.05a
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    • pp.138-141
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    • 2005
  • 본 연구에서는 위성영상으로부터 정사투영 영상을 제작하고, 지상의 기준점 측량을 GCP를 이용하여 실시하여 경도, 위도 고도의 참조좌표를 정확히 수집하였다. 1:5,000 지형도를 디지타이징하여 만들어진 등고선도를 DEM으로 변환하여 고도별 RGB영상으로 화면에 보여지도록 하고, 각각의 경우에 대하여 제작된 정사투영 영상에 중첩해 봄으로써 제작된 정사투영영상의 정확도를 점검하여 수치지형도를 대신할 수 있는 3차원 영상지도를 제작하였다. 대상지역의 입체지형분석을 위한 3차원 입체 영상지도를 제작과 더불어 DEM을 이용한 지형의 경사도 분석과 방향분석, 지형표고모델, 다방향 입체영상을 생성할 수 있도록 하였다. 장차 국토계획 및 건설분야에서의 지형분석과 각종 구조물의 배치 및 관리, 하천 수계의 분포에 대한 댐 건설 최적지 선정, 도로계획선에 따른 각 방향의 조감도 제작, 토지 피복분류에 의한 토지이용과 지역개발계획 등 지역환경을 종합적으로 진단해 볼 수 있는 활용방안을 도출할 수 있는 적용실험을 하였다.

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Camera Rotation Calculation Based on Inner Product (벡터내적 기반 카메라 자세 추정)

  • Chon, Jae-Choon
    • Korean Journal of Remote Sensing
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    • v.24 no.6
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    • pp.641-644
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    • 2008
  • In order to improve a camera rotation calculation based on the bundle adjustment in Chon's camera motion (Chon and Shankar, 2007, 2008), this paper introduces a method calculating the camera rotation. It estimates a unit vector in the optical axis of a camera through the angles between the optical axis and vectors passing a camera position and ground control points (GCP). The camera position is estimated by using the inner product method proposed by Chon. The horizontal and vertical unit vectors of the camera are determined by using Yakimovsky and Cunningham's camera model (CAHV) (1978).

Investigation on the Accuracy of bundle Adjustments and Exterior Orientation Parameter Estimation of Linear Pushbroom Sensor Models (선형 푸시브룸 센서모델의 번들조정 정확도 및 외부표정요소추정 정확도 분석)

  • Kim Tae Jung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.23 no.2
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    • pp.137-145
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    • 2005
  • In this paper, we investigate the accuracy of various sensor models developed for linear pushbroom satellite images. We define the accuracy of a sensor model in two aspects: the accuracy of bundle adjustments and the accuracy of estimating exterior orientation parameters. The first accuracy has been analyzed and reported frequently whereas the second accuracy has somewhat been neglected. We argue that the second accuracy is as important as the first one. The second accuracy describes a model's ability to predict satellite orbit and attitude, which has many direct and indirect applications. Analysis was carried out on the traditional collinearity-based sensor models and orbit-based sensor models. Collinearity-based models were originally developed for aerial photos and modified for linear pushbroom-type satellite images. Orbit-based models have been used within satellite communities for satellite control and orbit determination. Models were tested with two Kompsat-1 EOC scenes and GPS-driven control points. Test results showed that orbit-based models produced better estimation of exterior orientation parameters while maintained comparable accuracy on bundle adjustments.

Parcel Boundary Demarcation in Residential Area Using High Resolution Aerial Images (고해상도 항공영상을 이용한 주거지역 필지경계 설정에 관한 연구)

  • Park, Chiyoung;Lee, Jaeone
    • Spatial Information Research
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    • v.23 no.1
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    • pp.59-68
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    • 2015
  • As part of an effort to leap smart cadastre system by doing rearrangement of various mismatches in the land register, the cadastre renovation project is being recently conducted. In response to this demand, this paper proposes an image-based rapid parcel boundary demarcation plan using the high resolution aerial image with a GSD (Ground Sample Distance) of 5cm that matches to real ground boundary situation in residential area. To review the feasibility and accuracy of this proposed methodology, we compared the accuracy of parcel boundary point and parcel area extracted from the digital stereo plotting on the basis of results of cadastral boundary surveying and land register over the selected two test areas. The comparative accuracy result of all boundary points by digital stereo plotting is satisfied with accuracy requirement according to the criteria of the enforcement regulation of cadastral surveying, whereas it exceeded allowable error of ${\pm}0.07m$, more strictly specified in the Special Act on Cadastral Renovation. And about 20% of the total 70 parcels extracted by digital plotting are out of area tolerance in Jecheon study area, and 10% of the total 19 parcels in Suwon study area. The parcels exceeding accuracy limit are mostly due to the occlusion caused by building roof or eaves, and the obstacles such as trees existing on the boundary. Furthermore, an object identification is impossible in image because of vague boundary reference in case of nonexistence of man-made structures or natural features. Therefore, the utilization of boundary identification stickers is recommended as a solution for these types of land parcel.

Automated Geometric Correction of Geostationary Weather Satellite Images (정지궤도 기상위성의 자동기하보정)

  • Kim, Hyun-Suk;Lee, Tae-Yoon;Hur, Dong-Seok;Rhee, Soo-Ahm;Kim, Tae-Jung
    • Korean Journal of Remote Sensing
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    • v.23 no.4
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    • pp.297-309
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    • 2007
  • The first Korean geostationary weather satellite, Communications, Oceanography and Meteorology Satellite (COMS) will be launched in 2008. The ground station for COMS needs to perform geometric correction to improve accuracy of satellite image data and to broadcast geometrically corrected images to users within 30 minutes after image acquisition. For such a requirement, we developed automated and fast geometric correction techniques. For this, we generated control points automatically by matching images against coastline data and by applying a robust estimation called RANSAC. We used GSHHS (Global Self-consistent Hierarchical High-resolution Shoreline) shoreline database to construct 211 landmark chips. We detected clouds within the images and applied matching to cloud-free sub images. When matching visible channels, we selected sub images located in day-time. We tested the algorithm with GOES-9 images. Control points were generated by matching channel 1 and channel 2 images of GOES against the 211 landmark chips. The RANSAC correctly removed outliers from being selected as control points. The accuracy of sensor models established using the automated control points were in the range of $1{\sim}2$ pixels. Geometric correction was performed and the performance was visually inspected by projecting coastline onto the geometrically corrected images. The total processing time for matching, RANSAC and geometric correction was around 4 minutes.

Determination of Physical Camera Parameters from DLT Parameters (직접선형변환 매개변수로부터 물리적 사진기 매개변수의 산정)

  • Jeong, Soo;Lee, Chang-No;Oh, Jae-Hong
    • Journal of Korean Society for Geospatial Information Science
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    • v.13 no.2 s.32
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    • pp.39-43
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    • 2005
  • In this study, we analyzed the accuracy of the conversion from DLT parameters to physical camera parameters and optimized the use of DLT model for non-metric cameras in photogrammetric tasks. Using the simulated data, we computed two sets of physical camera parameters from DLT parameters and Bundle adjustment for various cases. Comparing two results based on the RMSE values of check points, we optimized the arrangement of GCPs for DLT.

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Control Policy for the Land Remote Sensing Industry (미국(美國)의 지상원격탐사(地上遠隔探査) 통제제탁(統制制度))

  • Suh, Young-Duk
    • The Korean Journal of Air & Space Law and Policy
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    • v.20 no.1
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    • pp.87-107
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    • 2005
  • Land Remote Sensing' is defined as the science (and to some extent, art) of acquiring information about the Earth's surface without actually being in contact with it. Narrowly speaking, this is done by sensing and recording reflected or emitted energy and processing, analyzing, and applying that information. Remote sensing technology was initially developed with certain purposes in mind ie. military and environmental observation. However, after 1970s, as these high-technologies were taught to private industries, remote sensing began to be more commercialized. Recently, we are witnessing a 0.61-meter high-resolution satellite image on a free market. While privatization of land remote sensing has enabled one to use this information for disaster prevention, map creation, resource exploration and more, it can also create serious threat to a sensed nation's national security, if such high resolution images fall into a hostile group ie. terrorists. The United States, a leading nation for land remote sensing technology, has been preparing and developing legislative control measures against the remote sensing industry, and has successfully created various policies to do so. Through the National Oceanic and Atmospheric Administration's authority under the Land Remote Sensing Policy Act, the US can restrict sensing and recording of resolution of 0.5 meter or better, and prohibit distributing/circulating any images for the first 24 hours. In 1994, Presidential Decision Directive 23 ordered a 'Shutter Control' policy that details heightened level of restriction from sensing to commercializing such sensitive data. The Directive 23 was even more strengthened in 2003 when the Congress passed US Commercial Remote Sensing Policy. These policies allow Secretary of Defense and Secretary of State to set up guidelines in authorizing land remote sensing, and to limit sensing and distributing satellite images in the name of the national security - US government can use the civilian remote sensing systems when needed for the national security purpose. The fact that the world's leading aerospace technology country acknowledged the magnitude of land remote sensing in the context of national security, and it has made and is making much effort to create necessary legislative measures to control the powerful technology gives much suggestions to our divided Korean peninsula. We, too, must continue working on the Korea National Space Development Act and laws to develop the necessary policies to ensure not only the development of space industry, but also to ensure the national security.

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Application of Satellite Image Using RFM (다항식비례모형을 이용한 위성영상의 활용에 관한 연구)

  • Sohn, Hong-Gyoo;Yoo, Hyung-Uk;Park, Choung-Hwan
    • 한국지형공간정보학회:학술대회논문집
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    • 2002.11a
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    • pp.73-80
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    • 2002
  • RFM is believed to be universally applicable to any type of the sensor. Most of researches carried out lately are concentrated on terrain-independent method, but the researches about approvement of accuracy by way of terrain-dependent method are required to increase a practical use of satellite imagery in nonprofessional groups. This research focused on a means to improve RFM solution, a matching technique, and a generation of DEM through a correlation analysis, with terrain-dependent solution. The result shows that accuracy problem which is caused by over-parameterization on RFCs was removed through correlation analysis, and it was possible to generate a accurate DEM with terrain-dependent solution. And also, the application of RFM with different satellite images show sensor independent characteristics of RFM

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A study on system improvement to utilization of underground space for the right complementary - Focused on land of exceeding the depth limit - (지하공간 활용의 권리보완을 위한 제도적 개선에 관한 연구 - 한계심도 초과 토지를 중심으로 -)

  • Seo, Yong-Su;Choi, Seung-Young
    • Journal of Cadastre & Land InformatiX
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    • v.44 no.1
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    • pp.97-111
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    • 2014
  • As urbanization and industrialization develops, the necessity of utilizing scarce land in three dimensions is raising. The issue of utilizing underground space is being actively discussed particularly when Geyeonggi-do announced GTX(Great Train Express) construction plan which aims to relieve traffic congestion in metropolitan areas. The current regulation on compensation of underground space is based on "Regulations on compensation standard complied by using underground space for construction of urban railway" but it is difficult for covering the whole rights to protect a three-dimensional right. In this context, the study is to propose the improvement plans of land right's problem and compensation issues to utilization of underground space for the right complementary. To do this, the study reviews the use situation of the classification surface right and using adjudication which defines the effect scope of underground space extending land ownership. As well as it analyzes issues about compensation standard for utilizing of underground space.

Elevation Correction of Multi-Temporal Digital Elevation Model based on Unmanned Aerial Vehicle Images over Agricultural Area (농경지 지역 무인항공기 영상 기반 시계열 수치표고모델 표고 보정)

  • Kim, Taeheon;Park, Jueon;Yun, Yerin;Lee, Won Hee;Han, Youkyung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.38 no.3
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    • pp.223-235
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    • 2020
  • In this study, we propose an approach for calibrating the elevation of a DEM (Digital Elevation Model), one of the key data in realizing unmanned aerial vehicle image-based precision agriculture. First of all, radiometric correction is performed on the orthophoto, and then ExG (Excess Green) is generated. The non-vegetation area is extracted based on the threshold value estimated by applying the Otsu method to ExG. Subsequently, the elevation of the DEM corresponding to the location of the non-vegetation area is extracted as EIFs (Elevation Invariant Features), which is data for elevation correction. The normalized Z-score is estimated based on the difference between the extracted EIFs to eliminate the outliers. Then, by constructing a linear regression model and correcting the elevation of the DEM, high-quality DEM is produced without GCPs (Ground Control Points). To verify the proposed method using a total of 10 DEMs, the maximum/minimum value, average/standard deviation before and after elevation correction were compared and analyzed. In addition, as a result of estimating the RMSE (Root Mean Square Error) by selecting the checkpoints, an average RMSE was derivsed as 0.35m. Comprehensively, it was confirmed that a high-quality DEM could be produced without GCPs.