• Title/Summary/Keyword: Sensing data

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An Efficient Method for Improving the Reliability of Sensing Data Using Multi-sensors in Wireless Sensor Network Systems (다중센서를 이용한 무선센서네트워크시스템에서의 효율적인 측정데이터 신뢰성 향상 방법)

  • Lee, Sang-Shin;Song, Min-Hwan;Won, Kwang-Ho;Kim, Joong-Hwan
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.8 no.3
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    • pp.116-121
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    • 2009
  • A novel method for improving the reliability of sensing data using multi-sensors in wireless sensor network systems is presented in this paper. This method is successfully applied a fog monitoring system in the mountain area.

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Development of a shape measuring system by hand-eye robot (Hand-Eye Robot에 의한 형상계측 시스템의 개발)

  • 정재문;김선일;양윤모
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10a
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    • pp.586-590
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    • 1990
  • In this paper we describe the shape measuring technique and system with a non-contractive sensor, composed of slit-ray projector and solid-state camera. For improving the accuracy and preventing measuring dead point, this sensor part is attached to the end of robot, and each sensing is executed after one step moving. By patching these sensing data, whole measuring data is constructed. The calibration between sensor and world coordinate is implemented through the specific calibration block by transformation matrix method. The result of experiment was satisfactory.

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On Combining Genetic Algorithm (GA) and Wavelet for High Dimensional Data Reduction

  • Liu, Zhengjun;Wang, Changyao;Zhang, Jixian;Yan, Qin
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1272-1274
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    • 2003
  • In this paper, we present a new algorithm for high dimensional data reduction based on wavelet decomposition and Genetic Algorithm (GA). Comparative results show the superiority of our algorithm for dimensionality reduction and accuracy improvement.

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A Study on Surface Temperature Patterns in the Tokyo Metropolitan Area Using ASTER Data

  • Fukui, Yuko
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1457-1459
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    • 2003
  • This study reports the surface temperature pattern of the Tokyo Metropolitan area using the ASTER surface temperature product. The product is an image processed by applying temperature-emissivity separation to atmospheric corrected infrared thermal radiance of the land surface, then converted to surface temperature by using Planck's function. Daytime and nighttime observation in a cold season and a warm season were used in this study. As a result, 1) contrast between urban and suburban, 2) extraction of heating area in urban, 3) measurement of cooling effect of green space were achieved.

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Study on the Urban Heat Island(UHI) using Remote Sensing data

  • Kyung, H.M.;Kim, Y.S.;Park, K.W.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.846-848
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    • 2003
  • Analysis of UHI in Busan region using Landsat TM data. Between 1987 and 1997 surface temperature increased clearly. Land usage of Busan is construed that instigate UHI changing into industry and commerce area. Also, intensity of UHI in surface temperature appeared strongly in industrial area and business area. On the contrary, residential area, mountain area, suburb area did not appear strongly.

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A Study on the Construction Technique of DEM Using a Commercial Map (상용지도를 이용한 DEM 구성기법에 관한 연구)

  • 박성욱;최관순;강치우;이쾌희
    • Korean Journal of Remote Sensing
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    • v.6 no.1
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    • pp.1-9
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    • 1990
  • This paper presents a method of the constructing DEM(Digital Elevation Model) from the image data acquired from a commercial map using the scanner. Data acquistion, mark elimination, linking the broken line, elevation interpolation and 3D display processing are performed and the results are satisfatory.

Geometric Correction of the NOAA/AVHRR Imagery (NOAA/AVHRR 영상의 기하학적 보정)

  • 서명석;신경섭;박경윤
    • Korean Journal of Remote Sensing
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    • v.6 no.1
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    • pp.25-37
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    • 1990
  • Methods of geometric correction for the Advanced Very High Resolution Radiometer imagery of NOAA satellites were developed and applied to the software for image processing of meteorological satellite data. The software for finding the earth location of each scan position and the software for gridding on original imagery were dedigned. On the assumption of circular orbits and the spherical earth, the methods developed were sufficiently accurate in the purpose of most meteorological data analyses.

Objective Cloud Type Classification of Meteorological Satellite Data Using Linear Discriminant Analysis (선형판별법에 의한 GMS 영상의 객관적 운형분류)

  • 서애숙;김금란
    • Korean Journal of Remote Sensing
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    • v.6 no.1
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    • pp.11-24
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    • 1990
  • This is the study about the meteorological satellite cloud image classification by objective methods. For objective cloud classification, linear discriminant analysis was tried. In the linear discriminant analysis 27 cloud characteristic parameters were retrieved from GMS infrared image data. And, linear cloud classification model was developed from major parameters and cloud type coefficients. The model was applied to GMS IR image for weather forecasting operation and cloud image was classified into 5 types such as Sc, Cu, CiT, CiM and Cb. The classification results were reasonably compared with real image.

Dispersion Pattern of CoolingWater of Kori Atomic Power Station Using Thermal Infrared Data (열적외선 자료에 의한 고리 원자력발전소의 냉각수 확산에 대한 연구)

  • 姜必鍾;智光薰
    • Korean Journal of Remote Sensing
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    • v.3 no.2
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    • pp.81-87
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    • 1987
  • The study was to analysis the dispersion of the cooling water of Kori atomic power station using thermal infrared data. The dispersion pattern of the cooling water analysis clearly on the LANDSAT TM band 6. It was changed due to tidal current, that is, the cooling water disperses north-eastern direction during the low tide and southweatern direction during the high tide. The relative temperature distribution was mapped through the density slicing method on the images.

SAR Remote Sensing Technology Development and Application in China

  • Jing, Li
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.448-453
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    • 2002
  • Remote sensing technology is one of the most powerful tools for human to know the nature and their living environment. However, before microwave remote sensing was developed and applied, remote sensing application was limited strongly by weather and time. Microwave remote sensing technology solves the problem. It makes us to have the capability to acquire information at all time of the day and under all weather condition, and make remote sensing technology be used in more wider area. Microwave remote sensing system include mainly Synthetic Aperture Radar (SAR), Microwave Radiometer, Microwave Scatterometer, and Altimeter (ALT). As SAR can acquire image whose spatial resolution is similar with visible and infrared image, it is paying much attention to and playing a more and more important role in earth observation. In recent year, the development of new SAR technology (multi-band and multi-polarization technology, InSAR technology, D-InSAR technology, and so on) makes SAR remote sensing go to an new stage, and its application area become more and more widely. The first Synthetic Aperture Radar (SAR) in the world appeared in 1960. After that, SAR and its application all developed very fast. Some radar satellites launched and run (include Seasat-A in 1978, ERS-1 in 1991, JERS-1 in 1992, Radarsat in 1995, and so on) promote SAR research and application in world greatly. China began to develop its SAR sensor and research SAR application in 1970s. After more than 30 years' research, it get some important development in sensor development data processing method, and application. Some operational systems have been used and play an important role. This paper will introduce the development of SAR technology and its application in China.

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