• Title, Summary, Keyword: EOC

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KOMPSAT Data Processing System: Preliminary Acceptance Test Results

  • Kim, Yong-Seung;Kim, Youn-Soo;Lim, Hyo-Suk;Lee, Dong-Han;Kang, Chi-Ho
    • Proceedings of the KSRS Conference
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    • pp.331-336
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    • 1999
  • The optical sensors of Electro-Optical Camera (EOC) and Ocean Scanning Multi-spectral Imager (OSMI) aboard the Korea Multi-Purpose SATellite (KOMPSAT) will be placed in a sun synchronous orbit in 1999. The EOC and OSMI sensors are expected to produce the land mapping imagery of Korean territory and the ocean color imagery of world oceans, respectively. Utilization of the EOC and OSMI data would encompass the various fields of science and technology such as land mapping, land use and development, flood monitoring, biological oceanography, fishery, and environmental monitoring. Readiness of data support for user community is thus essential to the success of the KOMPSAT program. As part of testing such readiness prior to the KOMPSAT launch, we have performed the preliminary acceptance test for the KOMPSAT data processing system using the simulated EOC and OSMI data sets. The purpose of this paper is to demonstrate the readiness of the KOMPSAT data processing system, and to help data users understand how the KOMPSAT EOC and OSMI data are processed and archived. Test results demonstrate that all requirements described in the data processing specification have been met, and that the image integrity is maintained for all products. It is however noted that since the product accuracy is limited by the simulated sensor data, any quantitative assessment of image products can not be made until actual KOMPSAT images will be acquired.

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Merging of KOMPSAT-1 EOC Image and MODIS Images to Survey Reclaimed Land (간척지 조사를 위한 KOMPSAT-1 EOC 영상과 MODIS 영상의 중합)

  • 신석효;김상철;안기원;임효숙;서두천
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • pp.171-180
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    • 2003
  • The merging of different scales or multi-sensor image data is becoming a widely used procedure of the complementary nature of various data sets. Ideally, the merging method should not distort the characteristics of the high-spatial and high-spectral resolution data used. To present an effective merging method for survey of reclaimed land, this paper compares the results of Intensity Hue Saturation (IHS), Principal Component Analysis (PCA), Color Normalized(CN) and High Pass Filter(HPF) methods used to merge the information contents of the high-resolution (6.6 m) Electro-Optical Camera (EOC) panchromatic image of the first Korea Multi-Purpose Satellite 1 (KOMPSAT-1) and the multi-spectral Moderate Resolution Imaging Spectroradiometer (MODIS) image data. The comparison is made by visual evaluation of three-color combination images of IHS, PCA, CN and HPF results based on spatial and spectral characteristics. The use of a contrasted EOC panchromatic image as a substitute for intensity in merged images with MODIS bands 1, 2 and 3 was found to be particularly effective in this study.

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Development of the Earth Observation Camera of MIRIS

  • Lee, Dae-Hee;Han, Won-Yong;Park, Young-Sik;Park, Sung-Jun;Moon, Bong-Kon;Ree, Chang-Hee;Pyo, Jeong-Hyun;Jeong, Woong-Seob;Nam, Uk-Won;Lee, Duk-Hang;Park, Kwi-Jong;Bae, Soo-Ho;Rhee, Seung-Wu;Park, Jong-Oh;Kim, Geon-Hee;Yang, Sun-Choel;Kim, Young-Ju
    • Journal of Astronomy and Space Sciences
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    • v.28 no.3
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    • pp.225-232
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    • 2011
  • We have designed and manufactured the Earth observation camera (EOC) of multi-purpose infrared imaging system (MIRIS). MIRIS is a main payload of the STSAT-3, which will be launched in late 2012. The main objective of the EOC is to test the operation of Korean IR technology in space, so we have designed the optical and mechanical system of the EOC to fit the IR detector system. We have assembled the flight model (FM) of EOC and performed environment tests successfully. The EOC is now ready to be integrated into the satellite system waiting for operation in space, as planned.

HE4 as a Serum Biomarker for ROMA Prediction and Prognosis of Epithelial Ovarian Cancer

  • Chen, Wen-Ting;Gao, Xiang;Han, Xiao-Dian;Zheng, Hui;Guo, Lin;Lu, Ren-Quan
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.1
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    • pp.101-105
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    • 2014
  • Background and Purpose: Human epididymis protein 4 (HE4) has been suggested to be a novel biomarker of epithelial ovarian cancer (EOC). The present study aimed to evaluate and compare HE4 with the commonly used marker, carbohydrate antigen 125 (CA125), in prediction and therapy-monitoring of EOC. Patients and Methods: Serum HE4 concentrations from 123 ovarian cancer patients and 174 controls were measured by Roche electrochemiluminescent immunoassay (ECLIA). Risk of ovarian malignancy algorithm (ROMA) values were calculated and assessed. In addition, the prospects of HE4 detection for therapy-monitoring were evaluated in EOC patients. Results: The ROMA score could classify patients into high- and low-risk groups with malignancy. Indeed, lower serum HE4 was significantly associated with successful surgical therapy. Specifically, 38 patients with EOC exhibited a greater decline of HE4 compared with CA125. In contrast, elevation of HE4 better predicted recurrence (of 46, 11 patients developed recurrence, and with it increased HE4 serum concentrations) and a poor prognosis than CA125. Conclusions: This study suggests that serum HE4 levels are closely associated with outcome of surgical therapy and disease prognosis in Chinese EOC patients.

Land Cover Classification Using Landsat TM with KOMPSAT-1 EOC and SCS-CN Direct Runoff Estimation (Landsat TM과 KOMPSAT-1 EOC 영상을 이용한 토지피복분류 및 SCS-CN 직접유출량 산정)

  • Kwon Hyong Jung;Kim Seong Joon;Koh Deuk Koo
    • KCID journal
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    • v.7 no.2
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    • pp.66-74
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    • 2000
  • The purpose of this study is to obtain land cover classification map by using remotely sensed data : Landsat TM and KOMPSAT-1 EOC, and to estimate SCS-CN direct runoff by using point rainfall(Thiessen network) and spatial rainfall(surface interpolation) f

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Platform Design for Constructing Web-EOC Integrated Monitoring Management System (Web-EOC 통합계측관리시스템 구축을 위한 플랫폼 설계)

  • Lee, jin-duk;Chang, ki-tae;Bhang, kon-joon
    • Proceedings of the Korea Contents Association Conference
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    • pp.175-176
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    • 2019
  • 개별 단위현장으로부터 자동적으로 수신되는 데이터를 수집하여 데이터서버로 통합관리, 현장으로부터 수신되는 모든 데이터에 대해 관리치를 비교하여, 이를 벗어난 데이터가 수신될 경우 즉시 SMS 전송을 하고 상황실에 경고를 하게 된다. Web-EOC 현장 검색 메인화면은 급경사지 주민대피 계측관리 시스템의 계측센서가 설치된 현장을 3차원 지도로 위치 이동하고 개별 현장의 센서 변위 발생 시 해당 현장으로 자동 이동되도록 플랫폼을 설계하였다.

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Change Detection using KOMPSAT EOC Images

  • Jeong Jae-joon;Kim Younsoo
    • Proceedings of the KSRS Conference
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    • pp.518-521
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    • 2004
  • Change detection is one of the common research topics in remote sensing. In general, global change detection methods using image difference method, etc, are used in low resolution images and local change detection methods using floating windows, etc, are used in high resolution images. But, these methods have disadvantages in practical use. If changed area images are automatically produced, these images will be used in public area such as regional planning, regional development managements. In this research, we developed new change detection method applicable KOMPSAT EOC images. This method automatically produces subset images in changed area.

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MTF analysis of KOMPSAT I from on-orbit image

  • Jang Hong-Sul;Jung Dae-Jun;Lee Seung-Hoon
    • Proceedings of the KSRS Conference
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    • pp.604-607
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    • 2004
  • The on-orbit MTF for the electro-optical camera (EOC) of the KOMPSAT I was calculated from sampled image of edge target. The image derived MTF values are smaller than ground measurement values but meet original requirements of EOC. The MTF from MTF compensated image was larger than and ground measurement result.

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Real-Time Slope Monitoring Management System Based on Web-EOC (Web-EOC기반 실시간 경사지 계측관리시스템)

  • Lee, jin-duk;Chang, ki-tae;Bhang, kon-joon
    • Proceedings of the Korea Contents Association Conference
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    • pp.237-238
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    • 2017
  • 각 부처 및 기관별로 설치 운용되고 있는 국내외 급경사지 모니터링시스템 사례를 조사하고, Web-EOC기반 급경사지 실시간 계측관리시스템을 구축하였으며, 3D 영상지도와 연계하여 가시성을 향상시켜 테스트베드에 적용하였다.

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Merging of KOMPSAT-1 EOC Image and MODIS Images to Survey Reclaimed Land

  • Ahn, Ki-Won;Shin, Seok-Hyo;Kim, Sang-Cheol;Seo, Doo-Chun
    • Korean Journal of Geomatics
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    • v.3 no.1
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    • pp.59-65
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    • 2003
  • The merging of different scales or multi-sensor image data is becoming a widely used procedure of the complementary nature of various data sets. Ideally, the merging method should not distort the characteristics of the high-spatial and high-spectral resolution data used. To present an effective merging method for survey of reclaimed land using the high-resolution (6.6 m) Electro-Optical Camera (EOC) panchromatic image of the first Korea Multi-Purpose Satellite 1 (KOMPSA T-l) and the multispectral Moderate Resolution Imaging Spectroradiometer (MODIS) image data, this paper compares the results of Intensity Hue Saturation (IHS) and Principal Component Analysis (PCA) methods. The comparison is made by statistical and visual evaluation of three-color combination images of IHS and PCA results based on spatial and spectral characteristics. The use of MODIS bands 1, 2, and 3 with a contrast stretched EOC panchromatic image as a substitute for intensity was found to be particularly effective in this study.

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