Journal of the Japan society of photogrammetry and remote sensing
Online ISSN : 1883-9061
Print ISSN : 0285-5844
ISSN-L : 0285-5844
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Volume 55, Issue 1
Displaying 1-18 of 18 articles from this issue
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Preface
  • [title in Japanese]
    [in Japanese]
    2016 Volume 55 Issue 1 Pages 17-18
    Published: 2016
    Released on J-STAGE: March 01, 2017
    DOIhttps://doi.org/10.4287/jsprs.55.17
    JOURNAL FREE ACCESS
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  • Monitoring of subway tunnel by using infrared thermography camera
    Hideaki KUROSU
    2016 Volume 55 Issue 1 Pages 19-22
    Published: 2016
    Released on J-STAGE: March 01, 2017
    DOIhttps://doi.org/10.4287/jsprs.55.19
    JOURNAL FREE ACCESS
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    Infrastructures constructed in Japan are estimated to age rapidly in the future. Hence, a method to efficiently inspect the infrastructures is needed. The purpose of this study is to verify that it is possible to detect the void near surface and flaking in the subway tunnel lining by the infrared thermography camera. At first, we acquire the data by infrared measurement system while moving. Next, we extract the void near surface and flaking by analyzing the infrared measurement. We have confirmed the efficacy of our proposed technique compared to conventional tapping sound investigation method. Furthermore, in the present study, we have been able to capture a very small temperature difference of even 0.05 degree centigrade.
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  • Displacement measurement of tunnel by laser scanner
    Koichi SASAKI
    2016 Volume 55 Issue 1 Pages 23-26
    Published: 2016
    Released on J-STAGE: March 01, 2017
    DOIhttps://doi.org/10.4287/jsprs.55.23
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    Various measurement systems have been developed in order to solve the problem of superannuated infrastructures. Recently the utilization of 3D data became general technique that the measurement with the laser scanners (Terrestrial laser scanners and Mobile mapping systems) is one of the effective techniques. The advantage of 3D laser measurement is able to acquire the 3d data of spatial area and manage the data as surface. The combination of the laser scanning system and other techniques is expected to improve the data quality.
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  • High-degree application of point clouds on maintenance supporting system for road and structures
    Shingo OTOMO, Kiyoshi SUZUKI, Hiroshi DOBASHI, Yoshifumi NAGATA, Akio ...
    2016 Volume 55 Issue 1 Pages 27-31
    Published: 2016
    Released on J-STAGE: March 01, 2017
    DOIhttps://doi.org/10.4287/jsprs.55.27
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    In recent years, many of the infrastructures that were made in the high-growth period are aging. At the same time, number of maintenance engineers for the infrastructures has been becoming insufficient. To solve these problems, we have developed a maintenance supporting system for road and structures. This system has the ability to utilize the point cloud measured by the MMS for such as creation of drawing for consultation, creation of CAD, FEM modelling, simulation of inspection work, and so on. This paper reports the state-of-the-art functions that have been developed for the system.
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Original Papers
  • Land Cover Classification using Airborne Laser Data for the Tropical Peat Swamp Forest
    Yoshiko MAEDA, Hayato TSUZUKI, Tatsuo SWEDA
    2016 Volume 55 Issue 1 Pages 46-54
    Published: 2016
    Released on J-STAGE: March 01, 2017
    DOIhttps://doi.org/10.4287/jsprs.55.46
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    To control and preserve peat swamp forests, which have a significant impact on global warming, it is essential to effectively monitor forest degradation and recovery. This study examined a land cover classification method that considers not only the extent of vegetation but also the vegetation height and density by comparing airborne laser scanning data with data collected from field surveys. The laser scanning data that covered tropical peat swamp forests in Central Kalimantan Province, Indonesia, were obtained in 2007 and 2011. We also calculated the land cover changes from the difference between land cover ratios at the two different time periods after the land cover classification for the study area using the above-mentioned analysis method. Technically, it became clear that although the vegetation in the study area had been said to be degrading and decreasing due to agricultural land developments, it was actually recovering and increasing, judging from the amount of land cover changes during the four years. Thus, this analysis method is effective for clarifying detailed changes in vegetation height and density and further understanding the land cover changes in tropical rainforests, where vegetation grows faster than in cool-temperate and temperate zones.
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  • Correlation Analysis between Fecal Bacteria and Land Use Data in Oita River
    Toru HIRAOKA, Toru TAKAMI, Takashi FURUKAWA, Hirofumi NONAKA
    2016 Volume 55 Issue 1 Pages 55-59
    Published: 2016
    Released on J-STAGE: March 01, 2017
    DOIhttps://doi.org/10.4287/jsprs.55.55
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    We analyze and evaluate a correlation between fecal bacteria (Escherichia coli, fecal indicator bacteria and enterococci) and land use data for each month in the Oita River Basin. In these calculations, we consider the optimal range based on land use data from the observation points of the fecal bacteria. As a result of the analysis, we found that the correlation of agricultural land expect rice field is high in land use, and the correlations of the fecal bacteria are high in the case of using land use data from 400 to 500 m radius.
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  • Classification of Airborn Laser Scanner Data by Using Bilateral Minimum/Maximum Filters
    Seiya KAWANO, Nodoka OKADA, Toru HIRAOKA, Hirofumi NONAKA, Atsushi RIK ...
    2016 Volume 55 Issue 1 Pages 60-65
    Published: 2016
    Released on J-STAGE: March 01, 2017
    DOIhttps://doi.org/10.4287/jsprs.55.60
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    We propose a new classification feature for airborn laser scanner data by using bilateral minimum/maximum filters for classification. Through experiments which are classified airborn laser scanner data to building, ground, and tree, we verify the effectiveness of the proposed feature. Furthermore, we show that it can perform a highly accurate classification by combining the proposed feature and a conventional feature (Lodha et al., 2006). Finally we comment on the respects in which the proposed feature is improved and on future prospects.
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  • Water level measurement from CCTV camera images using water gauge images taken at the time of low water level
    Hideaki MAEHARA, Momoyo NAGASE, Kenji TAIRA
    2016 Volume 55 Issue 1 Pages 66-68
    Published: 2016
    Released on J-STAGE: March 01, 2017
    DOIhttps://doi.org/10.4287/jsprs.55.66
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    We will propose a new method of water level measurement using river monitoring images taken by the closed circuit television (CCTV). Our method is featured by the definition of the water measure model, which in advance we have built from an image taken at the time of low water level. Generally the correlation between the observation images and the water measure model is enough strong. Therefor the implementation based on the method has provided robust measurement results through various observation conditions of light and water surface. Furthermore, since our method doesn't require high frame rate, the measurement can be stable by even use of night low rate video images.
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