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 46, Issue 1
Displaying 1-6 of 6 articles from this issue
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  • [title in Japanese]
    [in Japanese]
    2007 Volume 46 Issue 1 Pages 1
    Published: March 05, 2007
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.46.1
    JOURNAL FREE ACCESS
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  • [title in Japanese]
    [in Japanese], [in Japanese], [in Japanese], [in Japanese], [in Japane ...
    2007 Volume 46 Issue 1 Pages 2-3
    Published: March 05, 2007
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.46.2
    JOURNAL FREE ACCESS
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  • [title in Japanese]
    2007 Volume 46 Issue 1 Pages 4-38
    Published: March 05, 2007
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.46.4
    JOURNAL FREE ACCESS
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  • Automatic Target Detection for Vision Metrology with Using Colored Target
    Osamu MURAKAMI, Kiyoyuki AMANO, Satoshi NISHIYAMA
    2007 Volume 46 Issue 1 Pages 39-46
    Published: March 05, 2007
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.46.39
    JOURNAL FREE ACCESS
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    Monitoring the movement of the excavated slope beside of the highway is important works in order to prevent disaster like a land slide, beforehand. For the purpose to measure the displacement of the slope, it is insufficient to measure few number of the target to catch displacement as a surface. Recently some research has been done to apply the technique of the close range photogrammetry method by the digital photograph to measure the excavated slope. But it costs too many time to presume the exterior orientation element of the camera and to mark the all target ID in thirty or more Pictures. The method of applying some target group so called‘Coded Target’like as patterned target placement had been examined, but found out the difficulty for applying to measure the slope. Then the solution of using colored target and to detect of each of them by software has been tried. After some experiment, it is found that to describe the image data in color of HSV color space is good for color recognition. The result of field test mentioned that the automatic processing by the colored target is effective for the underexposure picture (-1EV) up to proper exposure picture, and it make possible to reduce the 90% of operational time for the work to estimate camera exterior orientation and to get all target position in each picture.
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  • Calibration algorithm for both amplitude and phase of full-polarimetric SAR data
    Nobuhiko KADOWAKI, Ikuo ARAI, Bunkei MATSUSHITA
    2007 Volume 46 Issue 1 Pages 47-55
    Published: March 05, 2007
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.46.47
    JOURNAL FREE ACCESS
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    The utility of PALSAR polarimetric mode data has a high potential for forest biomass estimation. However, it is necessary to calibrate the polarimetric SAR data both in terms of amplitude and phase for this purpose. Therefore, we emphasized the phase calibration and expanded the application of Klein's algorithm to the general calibration site in this paper. A method for extracting the pixels from the observed image to satisfy the assumptions of Klein's algorithm was also developed. In addition, Faraday rotation is compensated for as the remainder of distortion of the transmission path included in the polarization impurity and channel imbalance in the SAR system. One frame of the JPL/AIRSAR L-band polarimetric mode image was used to evaluate the calibration method. Two known trihedral corner reflectors were deployed on the pasture land in the image. Using this grass site, we obtained an acceptable result for the calibration.
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  • The technique of inundation area extraction and accuracy assessment using JERS-1 SAR (L-band)
    Takeshi ITO, Shigeko HARUYAMA, Seiichiro OKETANI
    2007 Volume 46 Issue 1 Pages 56-66
    Published: March 05, 2007
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.46.56
    JOURNAL FREE ACCESS
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    In this research, the technique of determining threshold value in the threshold value method was presented by using JERS-1 SAR (L-band) data, and the accuracy of extracted inundation area based on the threshold was assessed the GrandTruth result and optical sensor OPS (VNIR) . The mis-distinguished area was clarified.
    As a result, it was clarified that the technique of determining threshold value presented by this research is effective, and the overall accuracy and κ statistics of inundation area for extracted by using JERS-1 SAR was 88.0% or more and 0.61 or more, respectively. Moreover, the inundation area extracted by JERS-1 SAR are underestimated on the swampy area or the former channel, and overestimated on the natural levee where vegetation is growing.
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