• Title/Summary/Keyword: Satellite sensor

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KOMPSAT Data Processing System: An Overview and Preliminary Acceptance Test Results

  • Kim, Yong-Seung;Kim, Youn-Soo;Lim, Hyo-Suk;Lee, Dong-Han;Kang, Chi-Ho
    • Korean Journal of Remote Sensing
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    • v.15 no.4
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    • pp.357-365
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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 late 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 a 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, archived, and provided. 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.

ANALYSIS OF THE IMAGE SENSOR CONTROL METHOD

  • Park, Jong-Euk;Kong, Jong-Pil;Heo, Haeng-Pal;Kim, Young-Sun;Yong, Sang-Soon
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.464-467
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    • 2007
  • All image data acquisition systems for example the digital camera and digital camcorder, use the image sensor to convert the image data (light) into electronic data. These image sensors are used in satellite camera for high quality and resolution image data. There are two kinds of image sensors, the one is the CCD (charge coupled device) detector sensor and the other is the CMOS (complementary metal-oxide semiconductor) image sensor. The CCD sensor control system has more complex than the CMOS sensor control system. For the high quality image data on CCD sensor, the precise timing control signal and the several voltage sources are needed in the control system. In this paper, the comparison of the CCD with CMOS sensor, the CCD sensor characteristic, and the control system will be described.

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Investigation of Sensor Models for Precise Geolocation of GOES-9 Images (GOES-9 영상의 정밀기하보정을 위한 여러 센서모델 분석)

  • Hur, Dong-Seok;Kim, Tae-Jung
    • Korean Journal of Remote Sensing
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    • v.22 no.4
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    • pp.285-294
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    • 2006
  • A numerical formula that presents relationship between a point of a satellite image and its ground position is called a sensor model. For precise geolocation of satellite images, we need an error-free sensor model. However, the sensor model based on GOES ephemeris data has some error, in particular after Image Motion Compensation (IMC) mechanism has been turned off. To solve this problem, we investigated three sensor models: collinearity model, direct linear transform (DLT) model and orbit-based model. We applied matching between GOES images and global coastline database and used successful results as control points. With control points we improved the initial image geolocation accuracy using the three models. We compared results from three sensor models. As a result, we showed that the orbit-based model is a suitable sensor model for precise geolocation of GOES-9 Images.

A Study on LED Light Dimming Control Technology using doppler and IR sensor (도플러 및 적외선 센서 융합기반 주차장환경 LED등 연속디밍 제어 기술에 대한 연구)

  • Hwang, Hyunsuk;Jung, Soonho;Rho, Jungkyu;Shin, Hojin
    • Journal of Satellite, Information and Communications
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    • v.9 no.3
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    • pp.74-79
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    • 2014
  • Illumination is an effective technique that must be in the mankind today. These lights, there is artificial light that is created by using an artificial light source daylight illumination by sunlight, in this paper, it is created using the electrical energy it is a paper on the study of technology management scheme and efficient control technology of artificial light.

Gyroless Attitude Estimation of the Sun-Pointing Mode Satellite

  • Ahn, Hyo-Sung;Lee, Seon-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.876-881
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    • 2003
  • Reliable attitude estimation during the launch and early orbit phase is a critical issue for a satellite. Typically gyroscopes and other sensors are utilized to estimate the attitude during this phase. It is difficult to estimate the attitude quickly and reliably using gyroscopes because it requires a large computational load and accurate sensor measurements. Furthermore, the gyroscope failure may lead to the loss of the satellite. This paper suggests a simple attitude estimation method of a low earth orbit satellite without using gyroscopes, but only using sun sensors and magnetometers in the sun-acquisition mode. Using Kompsat-I telemetry data, we verified that the suggested algorithm provides attitude estimation within 3 degrees on each axis.

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THE ANALYSIS OF THE INFLUENCE OF THE COMPRESSION ON THE LOW EARTH ORBIT SATELLITE PAYLOAD SYSTEM

  • Shin, Sang-Youn;Choi, Myung-Jin;Heo, Haeng-Pal;Yong, Sang-Soon
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.232-235
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    • 2008
  • The mission of the EO(electro-optical) based low earth orbit satellite is provision of the high-resolution images required for GIS(Geographical Information Systems) establishment and the applications for environmental, agriculture and ocean monitoring. AEISS(Advanced Earth Imaging Sensor System) which is the main payload on the satellite consists of EOS(electro-optical subsystem) and PDTS(Payload Data Transmission Sub-system). IDHU(Image Data Handling Unit) which is one of the major unit in PDTS is capable of compression, storage, encryption and encoding. In this paper, the payload system of the EO based satellite is briefly introduced and the influence of the compression on AEISS is analyzed.

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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
    • Korean Journal of Remote Sensing
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    • v.19 no.1
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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.

A Study on Precision Rectification Technique of Multi-scale Satellite Images Data for Change Detection (변화탐지를 위한 인공위성영상자료의 정밀보정에 관한 연구)

  • 윤희천;이성순
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.22 no.1
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    • pp.81-90
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    • 2004
  • Because satellite images include geometry distortions according to photographing conditions and sensor property, and their spatial and radiational resolution and spectrum resolution are different, it is so difficult to make a precise results of analysis. 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. The result of change detection using basic map could be used for basic data fur GIS application and topographical renovation.

A Study for The Accuracy Assessment Method of Satellite Sensor Modeling (위성영상 센서모형화의 정확도 평가방법에 관한 연구)

  • Ko, Hyun-Soo;Choi, Chul-Soon;Hong, Jae-Min;Yoon, Chang-Rak
    • Journal of Korean Society for Geospatial Information Science
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    • v.13 no.2 s.32
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    • pp.79-84
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    • 2005
  • Recent researches about the accuracy assessment of the satellite sensor modeling usually focused on the quantitative analysis of errors. Quantitative error analysis contains its limitation that the distribution property of error can not be analyzed. The numerical evaluation of result of the satellite sensor modeling drop its confidence because of the absence of the distribution property of error. This study can be presented the distribution property of error to calculate RMSE and direction-coefficient of error. Moreover, Direction-coefficient which is closed to 1 s contains systematic errors. On the contrary, direction-coefficient which is closed to the zero contains random errors. To analyse the direction of errors, we will indicate that a formula is reduced the error.

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DEM Generation from IKONOS Imagery by Using Parallel Projection Model (평행투영모형에 의한 IKONOS 위성영상의 수치고도모형 생성)

  • Kim, Eui-Myoung;Kim, Seong-Sam;Yoo, Hwan-Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.13 no.1 s.31
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    • pp.55-61
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    • 2005
  • Digital Elevation Model (DEM) generation from remotely sensed imagery is crucial for a variety of mapping applications such as ortho-photo generation, city modeling. High resolution imaging satellites such as SPOT-5, IKONOS, QUICK-BIRD, ORBVIEW constitute an excellent source for efficient and economic generation of DEM data. However, prerequisite knowledge in the areas of sensor modeling, epipolar resampling, and image matching is required to generate DEM from these high resolution satellite imagery. From the above requirements, epipolar resampling emerges as the most important factors. Research attempts in this area are still in high demand and short supply. Another cause that adds to the complication of the problem is that most studies of DEM generation from IKONOS scenes have been based on rational function model. In this paper, we proposed a new methodology for DEM generation from satellite scenes using parallel projection model which is sensor independent, makes it possible for sensor modeling and epipolar resampling by only few control points. The performance and feasibility of the developed methodology is evaluated through real dataset captured by IKONOS.

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