• 제목/요약/키워드: satellite data processing

검색결과 579건 처리시간 0.026초

해양위성센터 구축 소개 : 기반환경 및 하드웨어 중심 (Introduction to Establishment of the Korea Ocean Satellite Center : Basic Environment and Hardware)

  • 양찬수;배상수;한희정;안유환
    • 해양환경안전학회:학술대회논문집
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    • 해양환경안전학회 2008년도 춘계학술발표회
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    • pp.191-195
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    • 2008
  • 한국해양연구원에서는 2009년 6월 예정인 통신해양기상위성의 해색센서(GOCI) 데이터의 수신, 처리, 배포를 위한 해양위성센터를 구축하고 있다. 해양위성센터의 위치는 전파 수신 환경 등의 조건을 고려하여, 5곳의 후보지중 안산으로 최종 선정하였고, 기존 건물을 센터의 기능에 맞게 구조변경을 완료하였다. L-Band로 전송되는 위성 신호를 수신하기 위해 9m 그레고리안식 안테나 및 RF 장비 등 수신시스템을 구축하고 있으며, 수신된 데이터를 처리하고 관리하기 위해 네트워크장비, 대용량 저장장치, 위성자료 전처리시스템, 위성자료 처리시스템, 자료관리 시스템, 통합감시제어시스템, 기관간자료교환시스템을 구축하였다. 추후 자료배포시스템, 작업관리시스템, 위성자료 통합연구분석시스템, 외국위성 수신시스템 등을 구축 완료하여, 정지궤도 해양위성의 활용 극대화를 위한 해양위성센터 구축을 최종목표로 하고 있다.

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COMS CADU DATA GENERATION FOR COMS IMPS TEST

  • Seo, Seok-Bae;Ahn, Sang-II
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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    • pp.88-91
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    • 2008
  • The COMS IMPS (Communication Ocean and Meteorological Satellite IMage Pre-processing Subsystem) is developed for image pre-processing of COMS. For a test of the COMS IMPS, 7 support software are developed in KARI GS using simulated MI/GOCI WB (Wide-Band) data; COMS Fill Adder, MI (Meteorological Imager) CADU generator, GOCI (Geostationary Ocean Colour Imager) CADU generator, COMS CADU combiner, MI SD (Sensor Data) analyzer, GOCI SD analyzer, and COMS DM (Decomposition Module) test harness. This paper explains functions of developed support software and the COMS IMPS test using those software.

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KIAPS 관측자료 처리시스템에서의 AMSU-A 위성자료 초기 전처리와 편향보정 모듈 개발 (Development of Pre-Processing and Bias Correction Modules for AMSU-A Satellite Data in the KIAPS Observation Processing System)

  • 이시혜;김주혜;강전호;전형욱
    • 대기
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    • 제23권4호
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    • pp.453-470
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    • 2013
  • As a part of the KIAPS Observation Processing System (KOPS), we have developed the modules of satellite radiance data pre-processing and quality control, which include observation operators to interpolate model state variables into radiances in observation space. AMSU-A (Advanced Microwave Sounding Unit-A) level-1d radiance data have been extracted using the BUFR (Binary Universal Form for the Representation of meteorological data) decoder and a first guess has been calculated with RTTOV (Radiative Transfer for TIROS Operational Vertical Sounder) version 10.2. For initial quality checks, the pixels contaminated by large amounts of cloud liquid water, heavy precipitation, and sea ice have been removed. Channels for assimilation, rejection, or monitoring have been respectively selected for different surface types since the errors from the skin temperature are caused by inaccurate surface emissivity. Correcting the bias caused by errors in the instruments and radiative transfer model is crucial in radiance data pre-processing. We have developed bias correction modules in two steps based on 30-day innovation statistics (observed radiance minus background; O-B). The scan bias correction has been calculated individually for each channel, satellite, and scan position. Then a multiple linear regression of the scan-bias-corrected innovations with several predictors has been employed to correct the airmass bias.

Image Data Processing System for Satellite

  • Park Jong-Euk;Kong Jong-Pil;Heo Haeng-Pal;Kim Young Sun;Youn Heong-Sik;Paik Hong Yul
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.486-488
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    • 2004
  • The SRI (Super Resolution Imager) uses the CCD (Charge coupled device) detector that is used to convert the light into electronic data. The purpose of the SRI is to obtain data for high resolution images by converting incoming light into digital stream of pixel data. The SRI has a high resolution, so this electronic system needs more fast imaging data processing, detector control and data transmission systems. This report describes the required system specification and manufactured electronic system for satellite.

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Usage of Internet-based Oceanographic GIS of the NW Pacific for Joint Analysis of Satellite and sub-Satellite Data

  • Golik A.V.;Fischenko V.K.;Dubina V.A.;Mitnik L.M.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.371-374
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    • 2004
  • The task of development and usage in a corporate computer network of the Far Eastern Branch of the Russian Academy of Sciences (FEB RAS) of integrated technology of joint use by the scientists of satellite and sub satellite data on a Northwestern Pacific is considered. This integrated technology is realized by embedding of satellite data in the corporate oceanographic GIS of FEB RAS as a new information layer, and also by support of GIS by program techniques for specialized processing of both kinds of the data. As a result of integration the specialists of FEB RAS have an opportunity to carry out coordinated samples of satellite and various oceanographic data as a function of area, time and other important conditions, visualize them together and carry out analytical processing with the usage of the GIS tools. Application of the realized approach to improve the techniques of detection and description of the oceanic phenomena on ERS-l and ERS-2 SAR images as well as to improve of perspective techniques of the usage the brightness temperatures measured by a microwave radiometers AMSR-E on a board of Aqua (USA) satellites are discussed.

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해양의 인공위성 자료 현황과 배포 소개 (Current Status of Ocean Satellite Remote Sensing Data and Its Distribution)

  • 양찬수
    • 해양환경안전학회:학술대회논문집
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    • 해양환경안전학회 2007년도 추계학술발표회
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    • pp.51-55
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    • 2007
  • As for satellite programs, the multipurpose satellite 1(KOMPSAT-1) was successfully launched on Dec. 21, 1999 and operated for three years. It is still properly operated even though its life cycle was ended. The development of KOMPSAT-2 (Korea Multipurpose Satellite-2) is near completion and the development of KOMPSAT-3, KOMPSAT-5 and COMS (Communication, Ocean, Meterological Satellite) are proceeding swiftly. In KORDI(Korea Ocean Research and Development Institute), the KOSC (Korea Ocean Satellite Center) construction project is being prepared for acquisition, processing and distribution of sensor data via L-band from GOCI(Geostationary Ocean Color Imager) instrument which is loaded on COMS(Communication, Ocean and Meteorological Satellite); it will be launched in 2000. Ansan(the headquarter of KORDD has been selected for the location of KOSC between 5 proposed sites, because it has the best condition to receive radio wave. The data acquisition system is classified antenna and RF. Antenna is designed to be ${\emptyset}$ 9m cassegrain antenna which has 19.35 $G/T(dB/^{\circ}K)$ at 1.67GHz, RF module, is divided into LNA(Low noise amplifier) and down converter, those are designed to send only horizontal polarization to modem The existing building is re-designed and classified for the KOSC operation concept; computing room, board of electricity, data processing room, operation room Hardware and network facilities have been designed to adapt for efficiency of each functions. The distribution system which is one of the most important systems will be constructed mainly on the internet, and it is also being considered constructing outer data distribution system as a web hosting service for to offering received data to user under an hour.

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Preprocessing of the Direct-broadcast Data from the Atmospheric Infared Sounder (AIRS) Sounding Suite on Aqua Satellite

  • 김성범;박혜숙;김금란;박승환;김문규;이종규
    • 대기
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    • 제13권4호
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    • pp.71-79
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    • 2003
  • We present a pre processing system for the Atmospheric Infrared Sounder (AIRS) sounding suite onboard Aqua satellite. With its unprecedented 2378 channels in IR bands, AIRS aims at achieving the sounding accuracy [s1]of a radiosonde (1 K in 1-km layer for temperature and 10% in 2-km layer for humidity). The core of the pre p rocessor is the International MODIS/AIRS Processing Package (IMAPP) that performs the geometric and radiometric correction to compute the Earth's radiance. Then we remove spurious data and retrieve the brightness temperature (Tb). Since we process the direct-broadcast data almost for the first time among the AIRS directbroadcast community, special attention is needed to understand and verify the products. This includes the pixel-to-pixel verification of the direct-broadcast product with reference to the fullorbit product, which shows the difference of less than $10^{-3}$ K in IR Tb.

COMPONENT-BASED ARCHITECTURE DESIGN FOR EAST INTEROPERABILITY IN SATELLITE IMAGE PROCESSING

  • Yoon, Chang-Pak;Kim, Kyung-Ok;Yang, Young-Kyu
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.45-48
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    • 2002
  • Satellite image processing software should be able to support interoperability that is to enable consumers, citizens, large and small businesses and governments to make the fullest possible use of the world's spatial data and spatial processing resources. The goal of interoperability is to perform hands-on research, development, testing, fielding, and validation of potential and existing interoperable geoprocessing technologies. In this paper, component based architecture for fast interoperability is designed to maximize interoperability among the OpenGIS components specified in the OpenGIS abstract specifications and implementation specifications and to mix up the OpenGIS components and the fast access mechanism for high performance.

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NASA EOS DB Receiving System Development by KARI

  • Ahn, Sang-Il;Koo, In-Hoi;Yang, Hyung-Mo;Hyun, Dae-Hwan;Choi, Hae-Jin
    • 대한원격탐사학회지
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    • 제19권1호
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    • pp.37-42
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    • 2003
  • Recently, KARI implemented the receiving and processing system for MODIS sensor data from NASA EOS satellites (TERRA and AQUA). This paper shows the development strategy considered, system requirement derived, system design, characteristic and test results of processing system. System operation concept and sample image are also provided. Implemented system was proven to be fully operational through lots of pass operations activities from RF signal reception to level-1 processing.

기상위성 영상처리 기본체계 아키텍처 설계 (Architecture Design for the Image Processing System of Meteorological Satellite)

  • 국승학;최창민;서용진;김현수;사공영보;이봉주;장재동;오현종
    • 대한원격탐사학회지
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    • 제28권1호
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    • pp.79-93
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    • 2012
  • 본 논문에서는 국가기상위성센터에서 진행 중인 '한국형 기상 환경 위성영상처리 기본체계' 구축을 위한 위성영상처리 시스템 아키텍처를 제안한다. 위성영상처리 기본 체계는 위성영상의 수신, 처리, 저장, 배포의 기본적인 기능을 갖는다. 그런데 기존 시스템은 향후 개발될 다양한 위성 및 처리 시스템을 수용하기에는 시스템 통합과 유지보수 측면에서 문제점이 있었다. 현재 운영 중인 시스템의 문제점을 해결하고, 향후 개발될 다양한 위성 및 처리 시스템을 수용할 수 있도록 시스템 아키텍처는 설계되어야 한다. 이를 위해 본 논문에서는 위성영상 처리 기본 체계의 주요 아키텍처 드라이버를 변경가능성, 상호운영성, 확장성, 재사용성, 플랫폼 독립성으로 도출하고 각 아키텍처 드라이버를 달성할 수 있도록 시스템 아키텍처를 설계하였다. 이를 통해 기존 시스템이 갖고 있는 통합 시스템 관리, 시스템 간 의존성 문제, 데이터 관리의 문제를 해결할 수 있을 것이다. 또한 향후 시스템에 대한 유지보수와 새로운 시스템의 도입 시에도 쉽게 변경하고 통합할 수 있을 것으로 기대된다.