• 제목/요약/키워드: precise image

검색결과 693건 처리시간 0.023초

KOMPSAT-3A 영상과 항공정사영상의 영상정합 성공률 향상 방법 (A Method to Improve Matching Success Rate between KOMPSAT-3A Imagery and Aerial Ortho-Images)

  • 신정일;윤완상;박형준;오관영;김태정
    • 대한원격탐사학회지
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    • 제34권6_1호
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    • pp.893-903
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    • 2018
  • 고해상도 위성영상 활용의 증가와 함께 자동 정밀 기하보정의 필요성이 증가하고 있다. 정밀기하보정을 위한 지상기준점(ground control point, GCP)을 수집하는 방법 중 하나로 항공정사영상과 같은 영상지도의 일부를 추출한 칩(chip) 영상을 이용하는 것을 들 수 있고, 영상 정합 기법을 이용하여 자동화할 수 있다. 이 때 통합기준점과 같이 기존에 측량이 이루어진 지상기준점을 대상으로 칩 영상을 제작하는 경우 개수의 제한으로 영상 정합 성공률의 중요성이 증가한다. 이 연구의 목적은 KOMPSAT-3A 영상과 항공정사영상 기반 지상 기준점 칩 영상 간 정합 성공률을 향상시키기 위한 방법을 제시하는 것이다. 이를 위하여 KOMPSAT-3A 전정색(panchromatic, PAN) 영상, 다중분광(multispectral, MS) 영상, 융합(pansharpening, PS) 영상과 항공정사영상의 각 밴드 조합에 대해 영상 정합을 실시하고 성공률을 비교하였다. 그 결과 주로 사용되고 있는 전정색 영상과 다중분광 영상을 이용할 때 약 10-30%의 영상 정합 성공률이 융합 영상을 이용할 때 약 40-50%로 증가하는 것으로 나타났다. 따라서 KOMPSAT-3A 위성영상과 항공정사영상의 정합에 있어 융합 영상을 사용하는 것이 정합 성공률을 향상시키는데 도움이 되는 것으로 판단된다.

도심의 정밀 모니터링을 위한 LiDAR 자료와 고해상영상의 융합 (the fusion of LiDAR Data and high resolution Image for the Precise Monitoring in Urban Areas)

  • 강준묵;강영미;이형석
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2004년도 춘계학술발표회논문집
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    • pp.383-388
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    • 2004
  • The fusion of a different kind sensor is fusion of the obtained data by the respective independent technology. This is a important technology for the construction of 3D spatial information. particularly, information is variously realized by the fusion of LiDAR and mobile scanning system and digital map, fusion of LiDAR data and high resolution, LiDAR etc. This study is to generate union DEM and digital ortho image by the fusion of LiDAR data and high resolution image and monitor precisely topology, building, trees etc in urban areas using the union DEM and digital ortho image. using only the LiDAR data has some problems because it needs manual linearization and subjective reconstruction.

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로봇시스템의 정밀 궤적 추적제어에 관한 연구 (A study on Precise Trajectory Tracking control of Robot system)

  • 이우송;김원일;양준석
    • 한국산업융합학회 논문집
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    • 제18권2호
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    • pp.82-89
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    • 2015
  • This study proposes a new approach to design and control for autonomous mobile robots. In this paper, we describes a fuzzy logic based visual servoing system for an autonomous mobile robot. An existing system always needs to keep a moving object in overall image. This mes difficult to move the autonomous mobile robot spontaneously. In this paper we first explain an autonomous mobile robot and fuzzy logic system. And then we design a fuzzy logic based visual servoing system. We extract some features of the object from an overall image and then design a fuzzy logic system for controlling the visual servoing system to an exact position. We here introduce a shooting robot that can track an object and hit it. It is illustrated that the proposed system presents a desirable performance by a computer simulation and some experiments.

DETERMINATION OF USER DISTRIBUTION IMAGE SIZE AND POSITION OF EACH OBSERVATION AREA OF METEOROLOGICAL IMAGER IN COMS

  • Seo, Jeong-Soo;Seo, Seok-Bae;Kim, Eun-Kyou;Jung, Sung-Chul
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.228-231
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    • 2006
  • In this paper, requirements of Meteorological Administration about Meteorological Imager (MI) of Communications, Ocean and Meteorological Satellite (COMS) is analyzed for the design of COMS ground station and according to the analysis results, the distribution image size of each observation area suitable for satellite Field Of View (FOV) stated at the requirements of meteorological administration is determined and the precise satellite FOV and the size of distribution image is calculated on the basis of the image size of the determined observation area. The results in this paper were applied to the detailed design for COMS ground station and also are expected to be used for the future observation scheduling and the scheduling of distribution of user data.

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캐드로부터 변환된 비트맵 이미지를 사용한 잉크젯 프린팅 (Using CAD-Converted Bitmap Images for Inkjet Printing)

  • 김형석;권계시
    • 한국정밀공학회지
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    • 제32권9호
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    • pp.833-840
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    • 2015
  • Inkjet technology is one of the commonly used technologies in the printed-electronics field. The primary issue regarding the usage of inkjet technology as a printed-electronics tool is the printing resolution; therefore, to print complicated patterns of precise dimensions, we developed software that can convert a CAD file into a bitmap image. Moreover, as a bitmap image is not comprised of physical dimensions, its resolution needs to be defined in terms of pixel distance to print a rasterized bitmap image. In this study, we investigated the effects of pixel distance and dot size on printing resolution; based on the experiment results, we concluded that the printed dot size should be used to determine the optimal pixel distance. Lastly, we also propose inkjet printing procedures for bitmap images.

PIM 기반 국부적 Co-occurrence 행렬 및 normalised correlation를 이용한 효율적 비디오 검색 방법 (Video image retrieval on the basis of subregional co-occurrence matrix texture features and normalised correlation)

  • 김규헌;정세윤;전병태;이재연;배영래
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 추계종합학술대회 논문집
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    • pp.601-604
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    • 1999
  • This Paper proposes the simple and efficient image retrieval algorithm using subregional texture features. In order to retrieve images in terms of its contents, it is required to obtain a precise segmentation. However, it is very difficult and takes a long computing time. Therefore. this paper proposes a simple segmentation method, which is to divide an image into high and low entropy regions by using Picture Information Measure (PIM). Also, in order to describe texture characteristics of each region, this paper suggest six different texture features produced on the basis of co-occurrence matrix. For an image retrieval system, a normalised correlation is adopted as a similarity function, which is not dependent on the range of each texture feature values. Finally, this proposed algorithm is applied to a various images and produces competitive results.

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Image Reconstruction Techniques for Radioactive Waste Assay by Tomographic Gamma Scanning Method

  • Zhang Quanhu;Kim Ki-Hong;Hong Kwon-Pyo
    • 한국방사성폐기물학회:학술대회논문집
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    • 한국방사성폐기물학회 2005년도 Proceedings of The 6th korea-china joint workshop on nuclear waste management
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    • pp.126-140
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    • 2005
  • The tomographic gamma scanner (TGS) method, a further of extension of segmented gamma scanner (SGS), is most accurate and precise for assaying heterogeneous drummed nuclear radioactive waste; it is widely used in nuclear power plants and radioactive waste storages and disposal sites. The transmission and emission images are reconstructed by image reconstruction techniques. In the paper, the principle of TGS is introduced; image reconstruction techniques are discussed as well; finally, it is demonstrated that TGS method performance.

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Uncalibrated Visual Servoing through the Efficient Estimation of the Image Jacobian for Large Residual

  • Kim, Gon-Woo
    • Journal of Electrical Engineering and Technology
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    • 제8권2호
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    • pp.385-392
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    • 2013
  • An uncalibrated visual servo control method for tracking a target is presented. We define the robot-positioning problem as an unconstrained optimization problem to minimize the image error between the target feature and the robot end-effector feature. We propose a method to find the residual term for more precise modeling using the secant approximation method. The composite image Jacobian is estimated by the proper method for eye-to-hand configuration without knowledge of the kinematic structure, imaging geometry and intrinsic parameter of camera. This method is independent of the motion of a target feature. The algorithm for regulation of the joint velocity for safety and stability is presented using the cost function. Adaptive regulation for visibility constraints is proposed using the adaptive parameter.

Edge Detection Method Based on Neural Networks for COMS MI Images

  • Lee, Jin-Ho;Park, Eun-Bin;Woo, Sun-Hee
    • Journal of Astronomy and Space Sciences
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    • 제33권4호
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    • pp.313-318
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    • 2016
  • Communication, Ocean And Meteorological Satellite (COMS) Meteorological Imager (MI) images are processed for radiometric and geometric correction from raw image data. When intermediate image data are matched and compared with reference landmark images in the geometrical correction process, various techniques for edge detection can be applied. It is essential to have a precise and correct edged image in this process, since its matching with the reference is directly related to the accuracy of the ground station output images. An edge detection method based on neural networks is applied for the ground processing of MI images for obtaining sharp edges in the correct positions. The simulation results are analyzed and characterized by comparing them with the results of conventional methods, such as Sobel and Canny filters.

영상의 자동 주석: 멀티 큐 통합 (Images Automatic Annotation: Multi-cues Integration)

  • 신성윤;안은미;이양원
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2010년도 춘계학술대회
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    • pp.589-590
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    • 2010
  • All these images consist a considerable database. What's more, the semantic meanings of images are well presented by the surrounding text and links. But only a small minority of these images have precise assigned keyphrases, and manually assigning keyphrases to existing images is very laborious. Therefore it is highly desirable to automate the keyphrases extraction process. In this paper, we first introduce WWW image annotation methods, based on low level features, page tags, overall word frequency and local word frequency. Then we put forward our method of multi-cues integration image annotation. Also, show multi-cue image annotation method is more superior than other method through an experiment.

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