• Title/Summary/Keyword: Geometric correction

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A Study on the GCP Disposition of KOMPSAT-1

  • Seo, Dong-Ju;Jang, Ho-Sik;Lee, Jong-Chool
    • Korean Journal of Geomatics
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    • v.1 no.1
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    • pp.27-33
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    • 2001
  • There are invisible wars going on to preoccupy required satellite information for national defense, industry and living in the out space. Therefore, Korea has developed and successfully launched KOMPSAT (Korea Multi-Purpose SATellite), Korea's first multi-pur pose applications satellite, on December 21, 1999. In the course of geometric corrections with KOMPSAT-1 images, an accuracy of GCP collections is analyzed by the coordinated of digital map respective and an accuracy according to the GCP disposition was analyzed as well. For disposition of GCP, it turned out that even distribution on the whole screen contributes to promote accuracy. These are expected to used as basic data in putting the KOMPSAT-1 geometric correction into practical use.

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도로 위 숫자 및 기호 인식을 위한 광각렌즈 기반 Camera Calibration 연구

  • Gang, Jin-Gyu;Hong, Hyeong-Gil;Hoang, Toan Minh;Vokhidov, Husan;Park, Gang-Ryeong;Jo, Hyeong-O
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.1406-1407
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    • 2015
  • 본 논문에서는 도로 위 숫자 및 기호인식에 적합한 Calibration Model에 대하여 연구하였다. 기존에 제시된 Geometric Transform, Fisheye Projection, Caltech Toolbox 기반 방법으로 얻은 Calibration Model의 성능을 비교하였다. Geometric Transform은 Fisheye Distortion Correction에 부적합한 결과를 얻었고, Fisheye Projection은 성능은 좋으나 시스템에 사용할 Camera Lens의 Specification을 모르기 때문에 이를 예측해야 하는 단점이 있다. 마지막으로 Caltech Tool box 기반 방법은 Calibration을 위한 Keypoint를 수동으로 지정하다 보니까 이로 인한 오차가 존재하게 된다. Calibration을 시도 할 때마다 결과에 차이가 있었으며, Calibration 결과의 측면에서 Fisheye Projection이 가시적으로 가장 좋은 결과를 나타냈다.

Construction, Search of Ground Control Point Database and its Application for Satellite Image Correction (위성영상 보정을 위한 GCP 데이터베이스 구축, 검색 및 활용)

  • Lee, Young-Ran;Shin, Dongseok;Lee, Hae-Yeoun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.1 no.1
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    • pp.8-17
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    • 1998
  • This paper presents a method of construction and re-use of a GCP database for precision geometric correction of high resolution satellite images. Accurate geometric correction can be achieved by using accurate GCPs. The GCP information which is extracted from maps or other sources is saved in a database in conjunction with the corresponding image chips. The usage of the GCPs from the database gives reusability and efficiency in marking new GCPs. An image matching algorithm was developed to determine the corresponding positions between an image chip and a new image. The proposed technique can save time in the regular operation of satellite image preprocessing by propagating the pre-determined GCPs to the new image correction.

DEVELOPMENT OF MTSAT DATA PROCESSING, DISTRIBUTION AND VISUALIZATION SYSTEM ON WWW

  • Nemoto, Toshihiro;Kaneko, Takayuki;Takeuchi, Wataru
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.317-320
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    • 2007
  • This research focuses on a network based data distribution and visualization system of Multi-functional Tran-port SATellite (MTSAT). Institute of Industrial Science (IIS) and Institute of Earthquake Research Institute (ERI) both at University of Tokyo have been receiving, processing, archiving and distributing of MTSAT imagery with a direct receiving of High Rate Information Transmit (HRIT) since October 2006. A software package, mtsatgeo, is developed including radiometric correction, geometric correction and spatial subset, and they are available on a web-based data distribution and processing service accessed at http://webgms.iis.u-tokyo.ac.jp/.

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Geometric distortion correction of fluorescein ocular fundus photographs (형광 안저 사진의 기하 왜곡 교정)

  • 권갑현;하영호;김수중
    • Progress in Medical Physics
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    • v.2 no.2
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    • pp.183-192
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    • 1991
  • Ophthalmoscopy following the intravenous injection of fluorescein has gained great diagnostic importance in ophthalmology. This technique provides sequential evaluation of the anatomic and physiologic status of the choroidal and retinal vasculature. In order to detect the changes between fluorescein ocular fundus image frames, the direct subtraction of the two frames is inadequate because of geometric distortions and background gray level differences in two images. In this study, a scheme for the correction of the geometric distortions is proposed. Precise control point coordinate values for transformation functions are manually determined after the process including a series of blood vessel detection and thinning, and one frame is mapped to another, and then a geometric distortion corrected image is obtained. When the corrected image is used in interframe change detections, a sucessful result is ensured.

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NASA Model Deviation Correction for Accuracy Improvement of Land Surface Temperature Extraction in Broad Region (NASA 모델의 편차보정에 의한 광역지역의 지표온도산출 정확도 향상)

  • Um Dae-Yong;Park Joon-Kyu;Kim Min-Kyu;Kang Joon-Mook
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2006.04a
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    • pp.281-286
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    • 2006
  • In this study, acquired time series Landsat TM/ETM+ image to extract land surface temperature for wide-area region and executed geometric correction and radiometric correction. And extracted land surface temperature using NASA Model, and I achieved the first correction by perform land coverage category for study region and applies characteristic emission rate. Land surface temperature that acquire by the first correction analyzed correlation with Meteorological Administration's temperature data by regression analysis, and established correction formula. And I wished to improve accuracy of land surface temperature extraction using satellite image by second correcting deviations between two datas using establishing correction formula. As a result, land surface temperature that acquire by 1,2th correction could correct in mean deviation of about ${\pm}3.0^{\circ}C$ with Meteorological Administration data. Also, could acquire land surface temperature about study region by relative high accuracy by applying to other Landsat image for re-verification of study result.

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An Efficient Correction Process of CT-Simulator Couch with Current Diagnostic CT Scanners (진단용 CT-모의치료기 테이블의 효율적인 교정 방법)

  • Goo, Eun-Hoe;Lee, Jae-Seung;Cho, Jung-Keun;Moon, Seong-Kwon
    • The Journal of the Korea Contents Association
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    • v.9 no.11
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    • pp.254-261
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    • 2009
  • This study suggested that the table of CT-simulator and the laser alignment system using diagnostic CT scanner have an efficient method for improvement in alignment between the planned target center of traverse image with CT scanner. It was conducted on the daily QA when presented in the AAPM TG66 with correcting the laser alignment system using geometric trigonometric functions and investigated the effectiveness of correction methods as compared with those before and after correction. Before correction error was 3.82mm between the planned target center of image, the table longitudinal axis was twisted with 0.436o. The laser alignment system using geometric trigonometric functions in after correction was satisfied with tolerance limits of ${\pm}2mm$ when occurred about 0.7mm in errors between the planned target center. The table correction to satisfy the geometric accuracy is very inefficient over against the time and economic loss as well as technical limits in the case of application as only radiation therapy associated with CT-simulator with diagnostic CT scanner in use. But, the method which corrects the laser alignment system is economic and relatively simple with possibility of getting well geometric accuracy and we suppose that it is efficient method for applying in the clinic.

Simulation Study for the Distortion Correction of Digital Angiographic Images using Geometric Transformation (디지털 혈관 조영상의 기하학적 왜곡 보정을 위한 모의 실험 연구)

  • 진호상;신동훈;허순녕;곽철은;최보영;이형구;서태석
    • Journal of Biomedical Engineering Research
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    • v.23 no.5
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    • pp.365-373
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    • 2002
  • Accurate localization of target lesion is required to protect normal peripheral tissue and irradiate exactly to tumors in stereotactic radiosurgery(SRS). Digital angiography is one of the most effective diagnostic tools to detect and identify the target tumors. However, it shows pincushion distortion due to the characteristics of the image intensifier. We have implemented a simulation study for the correction of distortion using the geometric transformation. Phantom images were produced transformation. In conclusion, the geometric transformation could effectively be used for the pincushion distortion of image intensifier and there was no significant different between two methods indicating 2% correction error from the ideal image in all cases.

Satellite Image Processing Software for Value-Added Products

  • Lee, Hae-Yeoun;Park, Won-Kyu;Kim, Seung-Bum;Kim, Tae-Jung;Yoon, Tae-Hun;Shin, Dong-Seok;Lee, Heung-Kyu
    • Korean Journal of Remote Sensing
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    • v.15 no.4
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    • pp.339-348
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    • 1999
  • To extract value-added products which are important in scientific area and practical life, e.g. digital elevation models, ortho-rectified images and geometric corrected images, Satellite Technology Research Center at Korea Advanced Institute of Science and Technology has developed a satellite image processing software called "Valadd-Pro". In this paper, "Valadd-Pro" software is briefly introduced and its main components such as precise geometric correction, ortho-rectification and digital elevation model extraction component are described. The performance of "Valadd-Pro" software was assessed on 10m resolution 6000 $\times$ 6000 SPOT panchromatic images (60km $\times$ 60km) using ground control points from GPS measurements. The height accuracy was measured by comparing our results with 100m resolution $DTEDs^{1)}$ produced by USGS and 60m resolution DEMs generated from digitized contours produced by National Geography Institute. Also, to show the superior performance of "Valadd-Pro" software, we compared the performance with that of commonly used PCI$\circledR$ commercial software. Based on the results, the geometric correction of "Valadd-Pro" software needs fewer ground control points than that of PCI$\circledR$ software and the ortho-rectification of "Valadd-Pro" software shows similar performance to that of PCI$\circledR$ software. In the digital elevation model extraction, "Valadd-Pro" software is two times more accurate and four times faster than PCI$\circledR$ software.ccurate and four times faster than PCI$\circledR$ software.

Distortion Correction in Magnetic Resonance Images on the Measurement of Muscle Cross-sectional Area (자기공명영상을 이용한 근육 단면적 측정법의 활용을 위한 영상왜곡보정)

  • Hong, Cheol-Pyo;Lee, Dong-Hoon;Park, Ji-Won;Han, Bong-Soo
    • The Journal of Korean Physical Therapy
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    • v.24 no.2
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    • pp.66-72
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    • 2012
  • Purpose: The purpose of this study is to explore the importance of the image distortion correction in the cross sectional area measurement for the iliopsas muscle, tensor fasciae latae muscle, gluteus maximus muscle and the knee extensor muscles, by using (magnetic resonance imaging) MRI. Methods: This study was performed using an open 0.32T MRI system. To estimate the image distortion, T1 images for an AAPM homogeneity/linearity phantom were acquired, and the region in which the maximum geometric distortion was less than or equal to the pixel size (1.6 mm) of the images, it was defined as the distortion correction-free region. The T2 images for a human subject's pelvis and thigh in normal positions were obtained. Then, after the regions of interest in the pelvis and thigh were moved into the distortion correction-free region, T2 images for the pelvis and thigh were scanned with the same imaging parameters used in the previous T2 imaging. The cross-sectional areas were measured in the two T2 images that were obtained in the normal position, and the distortion correction-free region, as well as the area error caused by geometric image distortion was calculated. Results: The geometrical distortion is gradually increased, from the magnet center to the outer region, in axial and coronal plane. The cross-sectional area error of gluteus maximus muscle and the knee extensors was as high as 9.27% and 3.16% in before and after distortion correction, respectively. Conclusion: The cross-sectional area of the muscles that suffered from the geometrical distortion is necessary to correct for the estimation of the intervention.