• 제목/요약/키워드: Geometric Distortions

검색결과 60건 처리시간 0.027초

Correction of Radiometric Distortion Caused by Geometric Property in SAR image using SAR Simulation (SAR영상의 모의제작에 의한 기하학적 복사왜곡의 보정)

  • Jeong, Soo;Yeu, Bock-Mo
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • 제16권1호
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    • pp.1-7
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    • 1998
  • SAR data can be achieved independently of weather conditions or sun illumination which is main limitation of electro-optical sensor to get image. The information from imagery can be more enlarged using Shh data be-cause SAR data offers different information from electro-optical sensor. SAR data contains various distortions caused by the radar specification and geometric properties of data acquisition. These distortions should be removed to get the information with acceptable accuracy. In this study, we aimed to correct the radiometric distortion in Shh image caused by the geometric property of the object. For this purpose, we simulated the SAR image by modelling of the power of return beam which is variable according to the geometric configuration between SAR antenna and ground object. Dividing the SAR image by the simulation image, then, we can get the radiometrically corrected image. As a result of this study, we could minimize the effect of radiometric distortion in achieving some qualitative information from SAR image for the related field, such as Geospatial Information System.

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Reconstruction of Transmitted Images from Images Displayed on Video Terminals (영상 단말에 전송된 이미지를 이용한 전송 영상 복원)

  • Park, Su-Kyung;Lee, Seon-Oh;Sim, Dong-Gyu
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • 제49권1호
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    • pp.49-57
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    • 2012
  • An image reconstruction algorithm is proposed to estimate transmitted original images from images displayed on a video terminal. The proposed algorithm acquires images that are displayed on video terminal screens by using a camera. The transmitted images are then estimated with the acquired images. However, camera-acquired images exhibit geometric and color distortions caused by characteristics of the camera and display devices. We make use of a geometric distortion correction algorithm that exploits homography and color distortions using a weighted-linear model. The experimental results show that the proposed algorithm yields promising estimation performance with respect to the peak signal-to-noise ratio (PSNR). PSNR values of the estimated images with respect to the corresponding original images range from 28-29 dB.

Geometric Distortion Compensation of Projector Image based on Equation of Straight Line (직선의 방정식을 기반으로 한 프로젝터 영상의 기하왜곡 보정)

  • Jung, Jung-Il;Cho, Jin-Soo
    • Journal of Internet Computing and Services
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    • 제11권5호
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    • pp.27-35
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    • 2010
  • In this paper, we propose a method that can compensate the geometric distortions of image caused from an arbitrary nonflat display surface(or wall) under the environment of portable overhead projector without a flat screen. In the proposed method, we first project a grid pattern to an arbitrary nonflat display surface and then derive an equation of straight line that represents the geometry relationship between the distorted grid pattern and the original grid pattern. Next, after determining the proper size of the original grid pattern according to the form of the display surface, we generate a compensation pattern from the derived equation of straight line, which can symmetrically compensate for the distorted image. Finally, we compensate for the geometric distortions of the projected image by segmenting the real image to be projected from portable overhead projector and prewarping it according to the compensation pattern. To evaluate the proposed method, we performed experiments of image compensation on inclined surface, bent surface and curved surface that are frequently occurred in the environment of portable overhead projector without a flat screen. From the experimental results, we found that the proposed method could be very effective in compensating for the general types of the geometric distortions of the projected images.

Extraction of Ground Control Point (GCP) from SAR Image

  • Hong, S.H.;Lee, S.K.;Won, J.S.;Jung, H.S.
    • Proceedings of the KSRS Conference
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.1058-1060
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    • 2003
  • A ground control point (GCP) is a point on the surface of Earth where image coord inates and map coordinates can be identified. The GCP is useful for the geometric correction of systematic and unsystematic errors usually contained in a remotely sensed data. Especially in case of synthetic aperture radar (SAR) data, it has serious geometric distortions caused by inherent side looking geometry. In addition, SAR images are usually severely corrupted by speckle noises so that it is difficult to identify ground control points. We developed a ground point extraction algorithm that has an improved capability. An application of radargrammetry to Daejon area in Korea was studied to acquire the geometric information. For the ground control point extraction algorithm, an ERS SAR data with precise Delft orbit information and rough digital elevation model (DEM) were used. We analyze the accuracy of the results from our algorithm by using digital map and GPS survey data.

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Effects of Atmospheric Refraction on High Resolution Image Geometry (대기 굴절이 고해상도 영상에 미치는 영향)

  • 신동석
    • Korean Journal of Remote Sensing
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    • 제12권1호
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    • pp.81-88
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    • 1996
  • The effects of atmospheric refraction of rays on the geometry of high-resolution images such as the KOMPSAT-EOC images are described. An atmospheric refraction mechanism is modelled and the geometric errors caused by the refraction are calculated from the model simulation. This paper shows that a maximum geometric error of 1 pixel (7m) occurs from the standard atmospheric condition. Severer geometric distortions in images cause from an atmopheric abnormality.

Ship Detection by Satellite Data: Radiometric and Geometric Calibrations of RADARSAT Data (위성 데이터에 의한 선박 탐지: RADARSAT의 대기보정과 기하보정)

  • Yang Chan-Su
    • Proceedings of KOSOMES biannual meeting
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    • 해양환경안전학회 2004년도 춘계학술발표회
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    • pp.49-52
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    • 2004
  • RADARSAT is one of many possible data sources that can play an important role in marine surveillance including ship detection because radar sensors have the two primary advantages: all-weather and day or night imaging. However, atmospheric effects on SAR imaging can not be bypassed and any remote sensing image has various geometric distortions. In this study, radiometric and geometric calibrations for RADARSAT/SAR data are tried using SGX products georeferenced as level 1. For radiometric calibration, information on the magnitude of the radar backscatter coefficient of the imaged terrain is extracted from the processed image data. Conversion method of the pixel DNs to beta nought and sigma nought is also investigated Finally, automatic geometric calibration based on the header file is compared to a marine chart.

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Geometric Correction for Uneven Quadric Projection Surfaces Using Recursive Subdivision of B$\acute{e}$zier Patches

  • Ahmed, Atif;Hafiz, Rehan;Khan, Muhammad Murtaza;Cho, Yongju;Cha, Jihun
    • ETRI Journal
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    • 제35권6호
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    • pp.1115-1125
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    • 2013
  • This paper presents a scheme for geometric correction of projected content for planar and quadratic projection surfaces. The scheme does not require the projection surface to be perfectly quadratic or planar and is therefore suitable for uneven low-cost commercial and home projection surfaces. An approach based on the recursive subdivision of second-order B$\acute{e}$zier patches is proposed for the estimation of projection distortion owing to surface imperfections. Unlike existing schemes, the proposed scheme is completely automatic, requires no prior knowledge of the projection surface, and uses a single uncalibrated camera without requiring any physical markers on the projection surface. Furthermore, the scheme is scalable for geometric calibration of multi-projector setups. The efficacy of the proposed scheme is demonstrated using simulations and via practical experiments on various surfaces. A relative distortion error metric is also introduced that provides a quantitative measure of the suppression of geometric distortions, which occurs as the result of an imperfect projection surface.

On-line Automatic Geometric Correction System of Landsat Imagery (Landsat 영상의 온라인 자동 기하보정 시스템)

  • Yun, YoungBo;Hwang, TaeHyun;Cho, Seong-Ik;Park, Jong-Hyun
    • Journal of the Korean Association of Geographic Information Studies
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    • 제7권4호
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    • pp.15-23
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    • 2004
  • In order to utilize remote sensed images effectively, it is necessary to correct geometric distortion. Geometric correction is a critical step to remove geometric distortions in satellite images. For geometric correction, Ground Control Points (GCPs) have to be chosen carefully to guarantee the quality of geocoded satellite images, digital maps, GPS surveying or other data. Traditional approach to geometric correction used GCPs requires substantial human operations. Also that is necessary much time and manpower. In this paper, we presented an on-line automatic geometric correction by constructing GCP Chip database. The Proposed on-line automatic geometric correction system is consists of four part. Input image, control the GCP Chip, revision of selected GCP, and output setting part. In conclusion, developed system reduced the processing time and energy for tedious manual geometric correction and promoted usage of Landsat imagery.

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Investigation on Image Quality of Smartphone Cameras as Compared with a DSLR Camera by Using Target Image Edges

  • Seo, Suyoung
    • Korean Journal of Remote Sensing
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    • 제32권1호
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    • pp.49-60
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    • 2016
  • This paper presents a set of methods to evaluate the image quality of smartphone cameras as compared with that of a DSLR camera. In recent years, smartphone cameras have been used broadly for many purposes. As the performance of smartphone cameras has been enhanced considerably, they can be considered to be used for precise mapping instead of metric cameras. To evaluate the possibility, we tested the quality of one DSLR camera and 3 smartphone cameras. In the first step, we compare the amount of lens distortions inherent in each camera using camera calibration sheet images. Then, we acquired target sheet images, extracted reference lines from them and evaluated the geometric quality of smartphone cameras based on the amount of errors occurring in fitting a straight line to observed points. In addition, we present a method to evaluate the radiometric quality of the images taken by each camera based on planar fitting errors. Also, we propose a method to quantify the geometric quality of the selected camera using edge displacements observed in target sheet images. The experimental results show that the geometric and radiometric qualities of smartphone cameras are comparable to those of a DSLR camera except lens distortion parameters.

A New Video Watermarking Scheme Resistant to Collusion and Synchronization Attacks

  • Kim, Ki-Jung
    • International Journal of Contents
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    • 제5권2호
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    • pp.32-37
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    • 2009
  • A new video watermarking scheme with robustness against collusion and synchronization attacks is presented. We propose to embed only a few copies of the watermark along the temporal axis into frames, which are located at the borders of each two different plotlines of the video. As a result, each change of the video plotline is transformed into pulse, which is used for watermark embedding and extraction. In addition, since we embed a watermark only into a small number of frames, the distortions of the video are reduced to minimum. Experimental results show the robustness of the proposed scheme.