• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.30 no.4
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• pp.343-352
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• 2012

In order to precisely determine the vertical displacements of CORS antenna phase centers caused by their replacement, intensive research has been carried out in this paper throughout processing GPS measurements made before and after the events. After applying the estimated displacement in the data processing, results show that coordinate repeatability of the vertical component is able to be 7.9mm on average. Comparing with results (e.g., 23.5mm) without applying the displacement, it was possible to conclude that these accuracies are significantly improved, which is equivalent to those before the event of the replacement.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.354-362
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• 2003

위성영상으로부터 위치자료가 포함된 지리 및 지형정보를 얻기 위해서는 영상획득순간의 센서 위치 및 자세와 지상좌표간의 관계를 해석하여야 한다. 위성영상에 대한 수학적 모형화를 위해서 먼저 입체영상에서 지상기준점(Ground Control Point: GCP)을 선정하고, 선정된 지상기준점에 대한 지상좌표 및 대상영상에 대한 영상좌표 관측작업을 수행한다. 본 연구에서는 지상기준점 데이터베이스에 포함된 정보들을 이용하여 관측대상 입체영상 3차원 모형화에 필요한 지상기준점의 영상좌표를 자동으로 추출할 수 있는 기법을 개발하였다. 관측정밀도는 수작업으로 관측한 값과 자동계산된 영상좌표의 결과를 비교 분석하여 평가하였으며, SPOT위성영상의 3차원 모형화에 적용하여 정확도를 평가하므로써 유사한 해상도의영상을 활용하는 3차원 모형화 과정에서 지상기준점의 영상좌표 관측을 자동화 할 수 있음을 입증하였다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.6
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• pp.605-612
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• 2010

Numberous satellites have monitored the Earth in order to detect changes in a large area. These satellites provide orbit information such as ephemeris data, RPC coefficients and etc. besides image data. If we can use such orbit data afforded by satellite, we can reduce the number of control point for geo-referencing. This paper shows the efficient geometric correction method of strip-satellite RADARSAT-l SAR images acquired by same orbit using ephemeris data, single control point and virtual control points. For accuracy analysis of proposed method, this paper compared the image geometrically corrected by the proposed method to the image corrected by ERDAS Imagine.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.4
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• pp.367-380
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• 2011

This paper has focused on deriving a GPS based geodetic network adjustment strategy to continuously determine coordinate sets of the national geodetic control points. After domestic literature review on the topic and overseas case studies about countries that recently reformed their geodetic infrastructure have been carried out, a simplified geodetic network consisting of two layers, namely GPS active and passive network, has been proposed to maximize effectiveness of the network adjustment through reducing the number of the passive points. Furthermore, a GPS data processing and network adjustment procedure has been derived to support the continuous management scheme. While a scheme for the active layer adopts a sequential least squares adjustment based on a multi-baseline, that of the passive layer employs a multi-session adjustment technique with respect to 3-dimensional baseline vectors. Finally, experimental adjustment against a network comprising 24 active and 6,900 passive stations has been performed to demonstrate the efficiency and the effectiveness of the proposed method.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.115-120
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• 2003

일반적으로 광학위성은 궤도가 부정확하여 지상기준점(GCP)을 이용하여 궤도를 보정하는 작업을 수행한 후 수치 표고모형 자료(DEM)를 추출한다. 지상기준점은 실제 측량이나 지형도로부터 얻게 되지만, 이러한 작업이 불가능한 경우에는 광학영상으로부터 수치 표고 모형 자료를 추출할 수 없다. 본 연구에서는 수-수십 cm의 위성 궤도 정확도를 지니는 ESA ERS영상과 약 1Km의 해상도를 지니는 GTOPO-30 DEM을 이용하여 지상기준점을 추출 방법에 대해 연구하였다. 연구지역인 대전 주변에 대하여 지상기준점을 추출한 결과 경도 -0.348초, 위도 0.293초의 오차를 나타내었다. 또한 추출된 지상기준점을 이용하여 한 쌍의 SPOT 위성영상으로부터 DEM을 추출이 가능하였으며, 레이더 interferometry 기술을 이용한 지형고도 추출 및 변화 탐지에도 활용될 수 있음을 확인하였다.

• Korean Journal of Remote Sensing
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• v.37 no.6_1
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• pp.1517-1526
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• 2021

With the recent global and domestic development of Earth observation satellites, the applications of satellite images have been widened. Research for improving the geometric accuracy of satellite images is being actively carried out. This paper studies the possibility of automated ground control point (GCP) generation for CAS-4 satellite, to be launched in 2025 with the capability of image acquisition at 5 m ground sampling distance (GSD). In particular, this paper focuses to check whether GCP chips with 25 cm GSD established for CAS-1 satellite images can be used for CAS-4 and to check whether optimalspatial resolution for matching between CAS-4 images and GCP chips can be determined to improve matching performance. Experiments were carried out using RapidEye images, which have similar GSD to CAS-4. Original satellite images were upsampled to make satellite images with smaller GSDs. At each GSD level, up-sampled satellite images were matched against GCP chips and precision sensor models were estimated. Results shows that the accuracy of sensor models were improved with images atsmaller GSD compared to the sensor model accuracy established with original images. At 1.25~1.67 m GSD, the accuracy of about 2.4 m was achieved. This finding lead that the possibility of automated GCP extraction and precision ortho-image generation for CAS-4 with improved accuracy.

• 한국지형공간정보학회:학술대회논문집
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• 2004.10a
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• pp.33-37
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• 2004

고해상 입체 위성영상 엄밀 모델링(Rigorous Modeling)을 구현하고, 이를 기반으로 각 입체시 영상을 제작하여 3차원 정확도 평가를 수행하였다. 본 연구 지역으로 진주지역의 SPOTS 입체영상을 이용하였으며, 각 영상별 기준점 자료는 1/5000 수치지도를 이용하여 입체영상의 중복영역 내에 균등하게 지상기준점 40점을 추출하였다. 추출된 점을 각각 기준점과 검사점으로 구분하여 엄밀 모델링의 정확도를 분석하였다. 또한, 입체시 제작시에 기준점으로 사용된 지상좌표와 이에 대응하는 영상점을 이용하여 입체시 영상을 제작하였다. 제작된 입체시 영상에서 동일점을 획득하기 위해 영상 매칭 및 수치해석도화기(Helava System)를 이용하여 정확한 영상점을 획득하여 3차원 좌표를 계산하여 정확도 평가를 수행하였다.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2002.04a
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• pp.167-172
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• 2002

본 연구는 GPS를 이용하여 위성 영상의 입체 해석으로 산출된 SPOT영상의 기준점 및 수치 표고 모형의 평가에 목적이 있다. 이를 위해 삼각점 및 상시관측소를 고정으로 한 GPS 해석을 수행하였으며 정지측량과 이동측량의 정확도를 비교함으로써 위성 영상의 기준점과 수치 표고 모형의 평가를 위한 측량 방법을 분석하였다. 연구 결과, SPOT영상의 해상력을 고려할 때, 이동 GPS측량기법으로도 수치 표고 모형의 정확도 평가가 가능하였으며, 기준점 좌표 산출에 있어서 고정점에 삼각점 대신 상시관측점들을 사용함으로써 경제적인 GPS 측량을 꾀할 수 있었다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.2
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• pp.247-254
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• 2010

In this paper, a new approach has been studied correcting the geometric distortion of SPOT 4 imagery. Two new equations were induced by the relationship between satellite and the Earth in the space. line-of-sight (LOS) vector adjustment model for SPOT 4 imagery was implemented in this study. This model is to adjust LOS vector under the assumption that the orbital information of satellite provided by receiving station is uncertain and this uncertainty makes a constant error over the image. This model is verified using SPOT 4 satellite image with high look angle and thirty five ground points, which include 10 GCPs(Ground Control Points) and 25 check points, measured by the GPS. In total thirty five points, the geometry of satellite image calculated by given satellite information(such as satellite position, velocity, attitude and look angles, etc) from SPOT 4 satellite image was distorted with a constant error. Through out the study, it was confirmed that the LOS vector adjustment model was able to be applied to SPOT4 satellite image. Using this model, RMSEs (Root Mean Square Errors) of twenty five check points taken by increasing the number of GCPs from two to ten were less than one pixel. As a result, LOS vector adjustment model could efficiently correct the geometry of SPOT4 images with only two GCPs. This method also is expected to get good results for the different satellite images that are similar to the geometry of SPOT images.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1445-1462
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• 2022

Compact Advanced Satellite 500-4 (CAS500-4), which is scheduled to be launched in 2025, is a mid-resolution satellite with a 5 m resolution developed for wide-area agriculture and forest observation. To utilize satellite images, it is important to establish a precision sensor model and establish accurate geometric information. Previous research reported that a precision sensor model could be automatically established through the process of matching ground control point (GCP) chips and satellite images. Therefore, to improve the geometric accuracy of satellite images, it is necessary to improve the GCP chip matching performance. This paper proposes an improved GCP chip matching scheme for improved precision sensor modeling of mid-resolution satellite images. When using high-resolution GCP chips for matching against mid-resolution satellite images, there are two major issues: handling the resolution difference between GCP chips and satellite images and finding the optimal quantity of GCP chips. To solve these issues, this study compared and analyzed chip matching performances according to various satellite image upsampling factors and various number of chips. RapidEye images with a resolution of 5m were used as mid-resolution satellite images. GCP chips were prepared from aerial orthographic images with a resolution of 0.25 m and satellite orthogonal images with a resolution of 0.5 m. Accuracy analysis was performed using manually extracted reference points. Experiment results show that upsampling factor of two and three significantly improved sensor model accuracy. They also show that the accuracy was maintained with reduced number of GCP chips of around 100. The results of the study confirmed the possibility of applying high-resolution GCP chips for automated precision sensor modeling of mid-resolution satellite images with improved accuracy. It is expected that the results of this study can be used to establish a precise sensor model for CAS500-4.