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 44, Issue 6
Displaying 1-9 of 9 articles from this issue
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  • [title in Japanese]
    [in Japanese]
    2005 Volume 44 Issue 6 Pages 1
    Published: January 05, 2006
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.44.6_1
    JOURNAL FREE ACCESS
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  • [title in Japanese]
    [in Japanese], [in Japanese], [in Japanese]
    2005 Volume 44 Issue 6 Pages 2-3
    Published: January 05, 2006
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.44.6_2
    JOURNAL FREE ACCESS
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  • [title in Japanese]
    [in Japanese], [in Japanese]
    2005 Volume 44 Issue 6 Pages 4-5
    Published: January 05, 2006
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.44.6_4
    JOURNAL FREE ACCESS
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  • [title in Japanese]
    2005 Volume 44 Issue 6 Pages 6-47
    Published: January 05, 2006
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.44.6_6
    JOURNAL FREE ACCESS
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  • A study on Early Detection Method for Land Cover Change using Time-series SAR Images
    Yuichiro USUDA, Nobuya WATANABE, Hitoshi TAGUCHI, Hiromichi FUKUI
    2005 Volume 44 Issue 6 Pages 48-57
    Published: January 05, 2006
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.44.6_48
    JOURNAL FREE ACCESS
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    The early detection of land cover change can play a significant role in early warning and solution of various environmental problems. Frequent monitoring is required to realize the providing of stable warning information. Advantage of the SAR image (i.e. weather free observation) is utilized by accumulating these stably observed time-series images in the developing method. The method consists of the following functions, (1) extraction of the temporal-profile of every pixel, (2) extraction of the time-series change pattern using time-series analysis, (3) prediction of the future DN value from systematic part, (4) change determination by comparison between the predicted value and the observed value, and (5) extraction of the spatial extent of the land cover changes. The method was examined on the JERS-1/SAR images (1992.9-1998.9) in the test area. As a result, the method succeeded in providing clear image to support the interpretation of land cover, and in achieving the early detection of the land cover changes.
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  • Unmanned Helicopter borne 3D Mapping System based on Multi-Sensor Integration
    Masahiko NAGAI, Ryosuke SHIBASAKI, Tianen CHEN, Hideo KUMAGAI, Sintaro ...
    2005 Volume 44 Issue 6 Pages 58-67
    Published: January 05, 2006
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.44.6_58
    JOURNAL FREE ACCESS
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    In this research, we propose an automatic 3D mapping system based on multi-sensor integration that is a combination of IMU (FOG), GPS, laser scanner and digital camera. An automatic mapping means that direct geo-referencing is achieved automatically without any ground control points, which accurately measures ground coordinate values. 3D model is reconstructed by laser scanner as 3D point cloud data, while texture is acquired by digital camera from the same platform simultaneously. The accurate trajectory of the platform with attitude changes is determined through the integration of GPS/IMU and digital camera. All the measurement tools are loaded on the unmanned helicopter, RPH2, which is made by Fuji Heavy Industries Ltd. A method of 3D mapping by integrating all the sensors from an unmanned helicopter is focused in this paper.
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  • Monitoring in Senjyogahara wetland using multitemporal LANDSAT TM/ETM+data
    Keigo MATSUE, Takumi SATO, Eiji KODANI, Kenji NAITO
    2005 Volume 44 Issue 6 Pages 68-77
    Published: January 05, 2006
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.44.6_68
    JOURNAL FREE ACCESS
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    The purpose of this study is a monitor of Senjyogahara wetland by multitemporal LANDSAT TM/ ETM+ data. Four indices of NDVI, MWCI, Cv, and Cw were used for the analysis. Cv, and Cw are indices calculated by the pattern decomposition method. The principal component analysis (PCA) and the change vector analysis (CVA) were used for the time series analysis. As a result of the PCA, the principal ingredient in which the change in the period was shown about four indices was able to be obtained. The change of 15 years in the marshland was clarified by the result of those principal ingredient and CVA.1) Senjyogahara region is made dry.2) Odashirogahara region is made moist.3) Sakasagawa-river inflow part is made dry.4) The water current dividing into parts with the national road has gone. The above-mentioned tendency was able to be confirmed.
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  • [title in Japanese]
    [in Japanese]
    2005 Volume 44 Issue 6 Pages 78-79
    Published: January 05, 2006
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.44.6_78
    JOURNAL FREE ACCESS
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  • [title in Japanese]
    [in Japanese]
    2005 Volume 44 Issue 6 Pages 86-88
    Published: January 05, 2006
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.44.6_86
    JOURNAL FREE ACCESS
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