• Title/Summary/Keyword: 디지털 영상 센서

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A Study on the Stereo Image Map Generation of Chuncheon Area using Satellite Overlay Images (위성영상을 이용한 춘천지역의 3차원 입체영상지도 생성에 관한 연구)

  • Yeon, Sang-Ho
    • Journal of the Korean Association of Geographic Information Studies
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    • v.3 no.4
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    • pp.1-10
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    • 2000
  • Satellite remote sensing images have much more information compared to a paper map. But these images are generally handled as particular image format gained from optical sensor, and must be processed and analyzed by computer with high priced digital image processing system. For the extraction of digital elevation model(DEM) from satellite image, we used the overlay image by SPOT-3 of Chuncheon area at the Kangwon province. According to the image condition, the precious geometric correction, the bundle adjustment for ortho-image generation and the stereo image mapping by several technical approaches were processed. So that we developed the methods of automatic DEM extraction and efficient stereo image map generation which can improve the digital image processing steps. Also, we applied the multiple direction birdeye view image for modeling and analysis using the remotely sensed overlay images with high resolution.

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Technical Trend of High Speed Camera (고속 카메라 기술 동향)

  • Park, Doo-Jin;Noh, Young-Hwan;Kim, Tae-Hyung;Lee, Hyo-Keun
    • Current Industrial and Technological Trends in Aerospace
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    • v.6 no.2
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    • pp.125-132
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    • 2008
  • High speed camera is very important and essential device to analyze the motion of fast moving object in detail. This paper describes the basic concepts of the high speed film camera and high speed digital camera and the history and future technical trends in high speed camera industry. In addition, application field of high speed camera in Korea as well as other countries and future plan to use high speed camera in Naro Space Center has been descried.

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Study on the auto focus digital camera uses a Liquid Lens. (Liquid Lens를 사용하는 디지털 카메라의 자동초점조절에 관한 연구)

  • Kim, Nam-woo;Hur, Chang-Wu
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.557-560
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    • 2015
  • 자동초점이란 영상을 획득하는 시스템에서 고정된 촬상면에 자동으로 초점이 맺히도록 렌즈를 구동시키는 방식으로 컴퓨터비전과 카메라 등에서 매우 중요하게 사용된다. 소형 카메라의 경우 자동초점에서 렌즈구동부인 actuator의 기술은 대량생산이 이용이하고, 위치센서가 불필요하며, 회로구성이 용이한 VCM방식이 널리 사용되고 있으며, 구동의 안정성에 비해 크기와 소음이 큰 스테핑모터 방식, 크기는 가장 작지만 납 함유문제 및 습도 취약성을 갖는 피에조 방식이 있다. 그 외에 액체렌즈방식이 있는데, 소형 구조에 저전력의 장점이 있지만 화질 및 신뢰성 검증 그리고 고압이 필요한 특징을 가지는 구조도 있다. 본 논문에서 5Mpixel급 이미지 센서를 통해 획득한 영상의 선예도를 이용하여 VCM의 actuator처럼 액체렌지를 제어하여 자동으로 초점을 맞추는 제어방식을 구현하고 검증하였다.

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Evaluation of Possibility of Large-scale Digital Map through Precision Sensor Modeling of UAV (무인항공기 정밀 센서모델링을 통한 대축척 수치도화 가능성 평가)

  • Lim, Pyung-chae;Kim, Han-gyeol;Park, Jimin;Rhee, Sooahm
    • Korean Journal of Remote Sensing
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    • v.36 no.6_1
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    • pp.1393-1405
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    • 2020
  • UAV (Unmanned Aerial Vehicle) can acquire high-resolution images due to low-altitude flight, and it can be photographed at any time. Therefore, the UAV images can be updated at any time in map production. Due to these advantages, studies on the possibility of producing large-scale digital maps using UAV images are actively being conducted. Precise digital maps can be used as base data for digital twins or smart cites. For producing a precise digital map, precise sensor modeling using GCPs (Ground Control Points) must be preceded. In this study, geometric models of UAV images were established through a precision sensor modeling algorithm developed in house. Then, a digital map by stereo plotting was produced to evaluate the possibility of large-scale digital map. For this study, images and GCPs were acquired for Ganseok-dong, Incheon and Yeouido, Seoul. As a result of precision sensor modeling accuracy analysis, high accuracy was confirmed within 3 pixels of the average error of the checkpoints and 4 pixels of the RMSE was confirmed for the two study regions. As a result of the mapping accuracy analysis, it satisfied the 1:1,000 mapping accuracy announced by the NGII (National Geographic information Institute). Therefore, the precision sensor modeling technology suggested the possibility of producing a 1:1,000 large-scale digital map by UAV images.

Color Correction Using Back Propagation Neural Network in Film Scanner (필름 스캐너에서 역전파 신경회로망을 이용한 색 보정)

  • 홍승범;백중환
    • Journal of the Institute of Convergence Signal Processing
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    • v.4 no.4
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    • pp.15-22
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    • 2003
  • A film scanner is one of the input devices for ac acquiring high resolution and high qualify of digital images from the existing optical film. Recently the demand of film scanners have risen for experts of image printing and editing fields. However, due to the nonlinear characteristic of light source and sensor, colors of the original film image do not correspond to the colors of the scanned image. Therefore color correction for the scanned digital image is essential in film scanner. In this paper, neural network method is applied for the color correction to CIE L/sup *//a/sup *//b/sup */ color model data converted from RGB color model data. Also a film scanner hardware with 12 bit color resolution for each R, G, B and 2400 dpi is implemented by using the TMS320C32 DSP chip and high resolution line sensor. An experimental result shows that the average color correction rate is 79.8%, which is an improvement of 43.5% than our previous method, polygonal regression method.

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Hyperspectral Image Analysis Technology Based on Machine Learning for Marine Object Detection (해상 객체 탐지를 위한 머신러닝 기반의 초분광 영상 분석 기술)

  • Sangwoo Oh;Dongmin Seo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.7
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    • pp.1120-1128
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    • 2022
  • In the event of a marine accident, the longer the exposure time to the sea increases, the faster the chance of survival decreases. However, because the search area of the sea is extremely wide compared to that of land, marine object detection technology based on the sensor mounted on a satellite or an aircraft must be applied rather than ship for an efficient search. The purpose of this study was to rapidly detect an object in the ocean using a hyperspectral image sensor mounted on an aircraft. The image captured by this sensor has a spatial resolution of 8,241 × 1,024, and is a large-capacity data comprising 127 spectra and a resolution of 0.7 m per pixel. In this study, a marine object detection model was developed that combines a seawater identification algorithm using DBSCAN and a density-based land removal algorithm to rapidly analyze large data. When the developed detection model was applied to the hyperspectral image, the performance of analyzing a sea area of about 5 km2 within 100 s was confirmed. In addition, to evaluate the detection accuracy of the developed model, hyperspectral images of the Mokpo, Gunsan, and Yeosu regions were taken using an aircraft. As a result, ships in the experimental image could be detected with an accuracy of 90 %. The technology developed in this study is expected to be utilized as important information to support the search and rescue activities of small ships and human life.

A Study on 3D Visualization for Color Analysis of Multimedia Data (멀티미디어 데이터의 색상분포 분석을 통한 3차원 시각화 연구)

  • Seo, Sanghyun
    • Journal of Digital Contents Society
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    • v.19 no.8
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    • pp.1463-1469
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    • 2018
  • The development of multimedia devices with built-in cameras such as smart devices and various studies using video-related multimedia data such as images and video obtained from the devices have been actively conducted. These studies deal with image data. An image can be defined as a set of color information obtained from a digital sensor called a pixel. Images contain various cognitive information such as color, lighting, objects and so on. In order to extract or process such information, it is necessary to clearly understand the composition of colors. In this paper, we introduce 3-dimensional information visualization method which can effectively express the results of image processing together with color distribution. This study visualizes the characteristics of image related multimedia data as well as the characteristics of various analytical data derived from it, so that researchers can transmit the image information more clearly and effectively.

다목적 실용위성 1호 EOC의 Dark Calibration Data 분석

  • 강치호;전갑호;전정남;최해진
    • Bulletin of the Korean Space Science Society
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    • 2003.10a
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    • pp.101-101
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    • 2003
  • 다목적 실용위성 1호에 탑재된 EOC(Electro-Optical Camera)는 2,000년부터 현재까지 한반도 인근 및 세계의 주요 육지 지역을 관측하고 있다. DOC는 크게 광학부(Sensor Assembly)와 전자부(Electronics Assembly)로 구성되어 있으며, 지상으로부터 입사하는 광 정보를 디지털 신호로 재구성하여 PDTS(Payload Data Transmission System)을 통해 지상으로 전송한다. EOC 광학부는 2,592개의 CCD(Charge-Coupled Device) 센서들로 구성된 선형 시스템이며, push-broom 주사 방식으로 구동된다. 한편, EOC의 임무 전, 후로 Aperture Cover Mechanism에 의해 EOC의 덮개를 덮은 상태로 짧은 시간동안 촬영을 수행, 획득된 영상 역시 지상으로 전송한다. 이러한 영상들은 EOC 영상에 포함되어 있는 암전류(Dark Current)에 대한 간접적인 정보를 제공하며, Dark Calibration Data로 정의된다. Dark Calibration Data는 지상에서 수신된 후, EOC 영상에 대한 복사 보정에 이용된다. 본 연구에서는 EOC Dark Calibration Data에 대한 분석을 통해, EOC 영상 내의 잡음 성분을 분석한다.

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X-ray image system design for non-destructive inspector (비파괴 검사용 X선 영상시스템 설계)

  • Lee, Eui-Yong;Nam, Hyung-Jin;Jo, Nam-In;Sul, Yong-Tae
    • Proceedings of the KAIS Fall Conference
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    • 2006.11a
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    • pp.147-149
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    • 2006
  • 본 연구는 산업용과 의료용에 사용되는 비파괴 검사용 X 선 영상시스템에 이용되는 X 선을 직접 감지하는 방식의 센서를 실리콘 반도체 재료를 사용하여 개발하는데 목적이 있다. 현재 사용되고 있는 비파괴 시험 용 검사 방법은 X-선을 사용하고 감지 필름 또는 고가의 감지재료를 사용하고 있으나 본 과제에서는 경제성이 있으며 기술기반이 확고한 실리콘 재료를 사용하고 디지털 촬영 방식을 도입하여 컴퓨터로 시험결과를 영상 처리한다는 장점이 있으며 영상 자료의 컴퓨터 베이스 처리와 영상 저장이 편리하게 이루어졌다.

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Intuitive Controller based on G-Sensor for Flying Drone (비행 드론을 위한 G-센서 기반의 직관적 제어기)

  • Shin, Pan-Seop;Kim, Sun-Kyung;Kim, Jung-Min
    • Journal of Digital Convergence
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    • v.12 no.1
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    • pp.319-324
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    • 2014
  • In recent years, high-performance flying drones attract attention for many peoples. In particular, the drone equipped with multi-rotor is expanding its range of utilization in video imaging, aerial rescue, logistics, monitoring, measurement, military field, etc. However, the control function of its controller is very simple. In this study, using a G-sensor mounted on a mobile device, implements an enhanced controller to control flying drones through the intuitive gesture of user. The implemented controller improves the gesture recognition performance using a neural network algorithm.