• Title/Summary/Keyword: Sensing Remote

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Airborne Video as a Remote Sensor for Linear Target : Academic Research and Field Practices (선형지상물체에 대한 원격센서로서의 항공비디오 : 연구추세 및 실무에서 사용현황)

  • 엄정섭
    • Korean Journal of Remote Sensing
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    • v.15 no.2
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    • pp.159-174
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    • 1999
  • An important aspect of remote sensing research would be ultimately the production of research output so that operational people can directly use it. However, for the strip target, it is not certain how the research output in remote sensing helps the field user in adopting and utilizing the technology successfully. The relative limitation of traditional remote sensing systems for such a linear application is briefly discussed and the strength of videography are highlighted. Based on the postulated advantages of video as corridor sensor, a careful and extensive investigation has been made of research trends for airborne videography to identify how past research matches to demand of field clients. It is found that while video has been operationally used for strip target in field client communities, much research effort has been directed to area target, and relatively little towards the classification and monitoring of linear target. From this critical review, a very important step has been made concerning the practicality of airborne videography. The value of this paper is warranted in proposing a new concept of video strip monitoring(VSM) as future research direction in recognition of sensor characteristics and limitations. Ultimately, the suggestion in this paper will greatly contribute to opening new possibilities for implementing VSM, proposed as an initial aim of this paper.

Remote Monitoring of Abrupt Overflowing in Common Utility Duct Using Reflective Side-Polished Optical Fiber Submersion Sensor

  • Lee, Cherl-Hee;Kim, Cheol;Kang, Shin-Won;Song, Jae-Won
    • Journal of the Optical Society of Korea
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    • v.12 no.3
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    • pp.166-169
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    • 2008
  • The submersion monitoring system based on a reflective side-polished optical fiber submersion sensor with an optical fiber mirror was shown to be an effective alarm system with remote monitoringwhen the drainage capacity of a common utility duct is exceeded due to heavy rainfall. The proposed sensor was connected to an existing installed optical fiber network at a height of 250mm in a common utility duct, and then tested under sample materials(distilled water, river water, sea water, foul water, muddy water, petroleum, edible oil) at a distance of 1km from the sensor for remote sensing. In experiments, the proposed real-time sensor system reduced maintenance cost and improved monitoring efficiency by using a reflection-type side-polished optical fiber submersion sensor efficient for remote monitoring of a common utility duct.

A Study on the Determination of Star Sensors Mounting Direction for Remote Sensing Satellites (관측위성을 위한 별센서 탑재 방향 결재에 관한 연구)

  • Lee, Hun-Gu
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.35 no.8
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    • pp.735-740
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    • 2007
  • Star sensor provides highly accurate attitude information by imaging the stars in the dark space. The sensor output is disabled when the sensor avoidance of the Sunlight or the Earth's albedo is not satisfied. This paper studies the Sun and Earth avoidance characteristics of the star sensors according to the mounting direction. Then the paper proposes a systematic way of determining the star sensors mounting direction for typical remote sensing missions

Estimated groundwater recharge including water pipes leakage in Kumagaya City

  • Saito, Keisuke;Ogawa, Susumu;Takamura, Hiroki;Yashiro, Yusuke
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.735-737
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    • 2003
  • The drying up of seepage in Kumagaya City was caused by the increase of impermeable area with urbanization. The project of rain fall infiltration facilities has been planned for improvement of a hydrological cycle in Kumagaya City. With GIS and remote sensing, the most suitable arrangement for the rainfall infiltration inlets was examined. Distribution maps for infiltration, evapotranspiration and groundwater recharge at each town in Kumagaya City was designed from the land cover classification map with hydrological analysis. In these distribution maps, influence of the leak from drinking water and sewage networks was counted to the hydrological cycle.

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Some interaction characteristics of IR radiation with ice crystals - New IR channel exploration

  • Xu, Lisheng;Ding, Jilie
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.352-357
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    • 2002
  • Some interaction characteristics, i.e., light scattering characteristics, of infrared (IR) radiation with small ice crystals are investigated systematically by using the exact T-matrix approach. Some important facts are obtained, which reveal, especially, that the combination of both the 25 and 3.979$\mu$m together has some advantages and potential applications for remote sensing of cirrus and other ice clouds. A new far-IR channel at the wavelength of 25$\mu$m is proposed.

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Combining Geostatistical Indicator Kriging with Bayesian Approach for Supervised Classification

  • Park, No-Wook;Chi, Kwang-Hoon;Moon, Wooil-M.;Kwon, Byung-Doo
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.382-387
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    • 2002
  • In this paper, we propose a geostatistical approach incorporated to the Bayesian data fusion technique for supervised classification of multi-sensor remote sensing data. Traditional spectral based classification cannot account for the spatial information and may result in unrealistic classification results. To obtain accurate spatial/contextual information, the indicator kriging that allows one to estimate the probability of occurrence of classes on the basis of surrounding observations is incorporated into the Bayesian framework. This approach has its merit incorporating both the spectral information and spatial information and improves the confidence level in the final data fusion task. To illustrate the proposed scheme, supervised classification of multi-sensor test remote sensing data set was carried out.

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Study on Forest Vegetation Classification with Remote Sensing

  • Yuan, Jinguo;Long, Limin
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.250-255
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    • 2002
  • This paper describes the study methods of identifying forest vegetation types, based on this study, forest vegetation classification method based on vegetation index is proposed. According to reflectance data of vegetation canopy and soil line equation NIR=1.506R+0.0076 in Jingyuetan, Changchun, China, many vegetation index are calculated and analyzed. The relationships between vegetation index and vegetation types are that PVI identifies broadleaf forest and conifer forest the most easily, the next is TSAVI and MSAVI, but their calculation is complex. RVI values of different conifer trees vary obviously, so RVI can classify conifer trees. In a word, combination of PVI and RVI is evaluated to classify different vegetation types.

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Beijing's Wetland Environment Research Based On RS Technology

  • Gong, Hui-Li;Zhao, Wen-Ji;Zhang, Zhi-Feng
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1304-1306
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    • 2003
  • The absolute area of wetland accounts for 0.3% of the whole Beijing. We have studied the current environmental situations of Beijing's wetland and the changes in the key wetland supported by Remote Sensing(RS) technology. The result shows that the areas of wetland are reducing year by year and the quality of ecological environment is dropping year by year. At last, we analyze the factors that influence the change of wetland and propose some constructive suggestions according to current problems existing in Beijing's wetland.

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Methodology for Regional Forest Biomass Estimation Using MODIS Data

  • Yu, Xinfang;Zhuang, Dafang
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.325-327
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    • 2003
  • Forest biomass is the basis of forest ecosystem. With the rapid development of remote sensing and computer technology, forest biomass estimation using remote sensing data is paid great attention and has acquired great achievements. This article focuses on discussion of methods of forest biomass estimation methods using Terra/MODIS data in Northeast China. The research include: combining the MODIS time series parameters with seasonal characteristics of forest species to identify major forest species; establishing a model to estimate forest biomass based on forest species; analyzing the effects of the existent forest biomass and increasing biomass on terrestrial carbon cycle. This research can help to make clear the mechanism of carbon cycle.

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