• Title/Summary/Keyword: EOC 영상

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Standardizing Agriculture-related Land Cover Classification Scheme using IKONOS Satellite Imagery (IKONOS 영상자료를 이용한 농업지역 토지피복 분류기준 설정)

  • Hong Seong-Min;Jung In-Kyun;Kim Seong-Joon
    • Korean Journal of Remote Sensing
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    • v.20 no.4
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    • pp.253-259
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    • 2004
  • The purpose of this study is to present a standardized scheme for providing agriculture-related information at various spatial resolutions of satellite images including Landsat + ETM, KOMPSAT-1 EOC, ASTER VNIR, and IKONOS panchromatic and multi-spectral images. The satellite images were interpreted especially for identifying agricultural areas, crop types, agricultural facilities and structures. The results were compared with the land cover/land use classification system suggested by National Geographic Information based on aerial photograph and Ministry of Environment based on satellite remote sensing data. As a result, high-resolution agricultural land cover map from IKONOS imageries was made out. The classification result by IKONOS image will be provided to KOMPSAT-2 project for agricultural application.

Opto-mechanical Analysis for Primary Mirror of Earth Observation Camera of the MIRIS (MIRIS EOC 주경의 광기계 해석)

  • Park, Kwi-Jong;Moon, Bong-Kon;Park, Sung-Jun;Park, Young-Sik;Lee, Dae-Hee;Ree, Chang-Hee;Nah, Jak-Young;Jeong, Woog-Seob;Pyo, Jeong-Hyun;Lee, Duk-Hang;Nam, Uk-Won;Rhee, Seung-Wu;Yang, Sun-Choel;Han, Won-Yong
    • Korean Journal of Optics and Photonics
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    • v.22 no.6
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    • pp.262-268
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    • 2011
  • MIRIS(Multi-purpose Infra-Red Imaging System) is the main payload of the STSAT-3(Korea Science and Technology Satellite. 3), which is being developed by KASI(Korea Astronomy & Space Institute). EOC(Earth Observation Camera), which is one of two infrared cameras in MIRIS, is the camera for observing infrared rays from the Earth in the range of $3{\sim}5{\mu}m$. The optical system of the EOC is a Cassegrain prescription with aspheric primary and secondary mirrors, and its aperture is 100mm. A ring type flexure supports the EOC primary mirror with pre-loading in order to withstand expected load due to the shock and vibration from the launcher. Here we attempt to use the same mechanism by which a retainer supports the lens. Through opto-mechanical analysis it was confirmed that the EOC primary mirror is effectively supported.

Three-Dimensional Modeling Using KOMPSAT-1 Strip Images (KOMPSAT-1 스트립영상의 3차원 모델링)

  • Yoo, Hwan-Hee;Kim, Uk-Nam;Kim, Dong-Kyoo;Jeong, Ju-Kwon
    • 한국지형공간정보학회:학술대회논문집
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    • 2002.03a
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    • pp.137-144
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    • 2002
  • 본 연구에서는 KOMPSAT-1호 EOC 위성영상으로 구성한 스트립영상과 영상의 헤더 정보를 이용하여 3차원 위치결정 모델링을 수행하여 그 정확도를 평가하였다. 스트립영상은 동일한 패스를 촬영한 단영상들을 연속적으로 접합시켜 구성하였다. 이 방법은 접근가능지역에서 기준점으로 오차보정을 실시한 후 비접근지역으로 연결되는 스트립영상을 기준점 필요 없이 위치결정을 할 수 있는 방법으로 비접근지역에 대한 지형정보 취득에 효과적인 방법으로 판단하였다.

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기하보정 방법에 따른 광학영상자료의 지형효과 분석

  • 이성순;지광훈
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2004.03a
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    • pp.251-254
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    • 2004
  • 최근 인공위성 영상자료의 해상도가 높아짐에 따라 영상을 통해 얻을 있는 정보의 양이 증가하고 있다. 영상의 식별력이 증가함으로써 영상에서 얻을 수 있는 정보량이 증가하지만 그와 함께 정보의 질이 향상되었다고 판단하기는 어렵기 때문에 지형과 영상의 정밀보정은 매우 중요하다 특히, 광학센서 기반의 인공위성 자료는 영상자료의 공간해상도 뿐만 아니라 촬영시기, 지형형태 둥 많은 내ㆍ외부 조건에 따른 특성을 가지고 있다. 이러한 특성은 표고가 높은 지형에서 더욱 크게 영향 받는다. 이에 본 연구에서는 Kompsat EOC 및 Spot-5 등 다양한 광학위성 센서에 대한 지형효과 특성을 위성의 기하정보 등록방법에 따라 분석함으로써 자료 이용의 효용성 제고에 기여하고자 한다.

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Investigation on the Accuracy of bundle Adjustments and Exterior Orientation Parameter Estimation of Linear Pushbroom Sensor Models (선형 푸시브룸 센서모델의 번들조정 정확도 및 외부표정요소추정 정확도 분석)

  • Kim Tae Jung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.23 no.2
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    • pp.137-145
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    • 2005
  • In this paper, we investigate the accuracy of various sensor models developed for linear pushbroom satellite images. We define the accuracy of a sensor model in two aspects: the accuracy of bundle adjustments and the accuracy of estimating exterior orientation parameters. The first accuracy has been analyzed and reported frequently whereas the second accuracy has somewhat been neglected. We argue that the second accuracy is as important as the first one. The second accuracy describes a model's ability to predict satellite orbit and attitude, which has many direct and indirect applications. Analysis was carried out on the traditional collinearity-based sensor models and orbit-based sensor models. Collinearity-based models were originally developed for aerial photos and modified for linear pushbroom-type satellite images. Orbit-based models have been used within satellite communities for satellite control and orbit determination. Models were tested with two Kompsat-1 EOC scenes and GPS-driven control points. Test results showed that orbit-based models produced better estimation of exterior orientation parameters while maintained comparable accuracy on bundle adjustments.

A Study on the Technique Develop for Perspective Image Generation and 3 Dimension Simulation in Jecheon (제천시 영상 조감도 생성 및 3차원 시뮬레이션 기술개발에 관한 연구)

  • 연상호;홍일화
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.21 no.1
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    • pp.45-51
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    • 2003
  • Stereo bird's-eyes-view was prepared for 3-dimensional view of various forms of Jecheon city, and 3-dimensional simulation was applied to it so as to show it in moving pictures in spatial. In manufacturing stereo bird's-eyes-view, perspective technology was used in image-making technology, and the basic material images are prepared as fellows: used EOC Images from Arirang-1 satellite, created DEM whose error was optionally geometric corrected after drawn from the contour line of the map on a scale of l/5,000 manufactured by national geography institute as a national standard map, and classified road lines which were manufactured as a road layer vector file of a map on a scale of l/l,000 and then overlay it over the three dimensional image of target area. Especially for the connectivity with address system to be used in new address, an arterial road map on a scale of l/l,000 that had been manufactured to grant new address was used in maximum in road network structure data of city area in this study.

인공위성영상 전처리시스템의 RPC(Rational Polynomial Coefficients) 기하보정모듈 생성

  • Seo, Doo-Chun;Lee, Dong-Han
    • Aerospace Engineering and Technology
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    • v.4 no.1
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    • pp.229-238
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    • 2005
  • The main objective of this study is to develop RPC geometric correction module for the pre-processing systems of the satellite image. For this purpose, the Terrain-Independent Ⅰ, Terrain-Independent Ⅱ and Terrain-Dependent Ⅲ have been applied in tests with KOMPSAT-1 EOC and SPOT PAN images.

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Characteristics of Remote Sensors on KOMPSAT-I (다목적 실용위성 1호 탑재 센서의 특성)

  • 조영민;백홍렬
    • Korean Journal of Remote Sensing
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    • v.12 no.1
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    • pp.1-16
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    • 1996
  • Korea Aerospace Research Institute(KARI) is developing a Korea Multi-Purpose Satellite I(KOMPSAT-I) which accommodates Electro-Optical Camera(EOC), Ocean Color Imager(OCI), Space Physics Sensor(SPS) for cartography, ocean color monitoring, and space environment monitoring respectively. The satellite has the weight of about 500 kg and is operated on the sun synchronized orbit with the altitude of 685km, the orbit period of 98 minutes, and the orbit revisit time of 28days. The satellite will be launched in the third quarter of 1999 and its lifetime is more than 3 years. EOC has cartography mission to provide images for the production of scale maps, including digital elevation models, of Korea from a remote earth view in the KOMPSAT orbit. EOC collects panchromatic imagery with the ground sample distance(GSD) of 6.6m and the swath width of 15km at nadir through the visible spectral band of 510-730 nm. EOC scans the ground track of 800km per orbit by push-broom and body pointed method. OCI mission is worldwide ocean color monitoring for the study of biological oceanography. OCI is a multispectral imager generating 6 color ocean images with and <1km GSD by whisk-broom scanning method. OCI is designed to provide on-orbit spectral band selectability in the spectral range from 400nm to 900nm. The color images are collected through 6 primary spectral bands centered at 443, 490, 510, 555, 670, 865nm or 6 spectral bands selected in the spectral range via ground commands after launch. SPS consists of High Energy Particle Detector(HEPD) and Ionosphere Measurement Sensor(IMS). HEPD has mission to characterize the low altitude high energy particle environment and to study the effects of radiation environment on microelectronics. IMS measures densities and temperature of electrons in the ionosphere and monitors the ionospheric irregularities in KOMPSAT orbit.

High Resolution Reconstruction of Multispectral Imagery with Low Resolution (저해상도 Multispectral 영상의 고해상도 재구축)

  • Lee, Sang-Hoon
    • Korean Journal of Remote Sensing
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    • v.23 no.6
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    • pp.547-552
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    • 2007
  • This study presents an approach to reconstruct high-resolution imagery for multispectral imagery of low-resolution using panchromatic imagery of high-resolution. The proposed scheme reconstructs a high-resolution image which agrees with original spectral values. It uses a linear model of high-and low- resolution images and consists of two stages. The first one is to perform a global estimation of the least square error on the basis of a linear model of low-resolution image associated with high-resolution feature, and next local correction then makes the reconstructed image locally fit to the original spectral values. In this study, the new method was applied to KOMPSAT-1 EOC image of 6m and LANDSAT ETM+ of 30m, and an 1m RGB image was also generated from 4m IKONOS multispectral data. The results show its capability to reconstruct high-resolution imagery from multispectral data of low-resolution.

A study on matching correlation analysis of multi-scale satellite images data for change detection (변화추출을 위한 다중영상자료의 정합상관도 분석을 위한 연구)

  • 이성순;윤희천;강준묵
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.04a
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    • pp.221-226
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    • 2004
  • For comparing more than two images, the precise geometric corrections should be preceded because it necessary to eliminate systematic errors due to basic sensor information difference and non-systematic errors due to topographical undulations. In this study, we did sensor modeling using satellite sensor information to make a basic map of change detection for artificial topography. We eliminated the systematic errors which can be occurred in photographing conditions using GCP and DEM data. The Kompsat EOC images relief could be reduced by precise rectification method. Classifying images which was used for change detections by city and forest zone, the accuracy of the matching results are increased by 10% and the positioning accuracies also increased.

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