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 41, Issue 6
Displaying 1-7 of 7 articles from this issue
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  • [title in Japanese]
    [in Japanese]
    2002 Volume 41 Issue 6 Pages 1
    Published: December 25, 2002
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.41.6_1
    JOURNAL FREE ACCESS
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  • [title in Japanese]
    [in Japanese]
    2002 Volume 41 Issue 6 Pages 2-3
    Published: December 25, 2002
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.41.6_2
    JOURNAL FREE ACCESS
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  • Automated Classification for Vegetation of Ninh Thuan, Binh Thuan and Lam Dong Provinces in Vietnam by Simulated GLI Data from Landsat TM
    Le Kim Thoa, Nguyen Thanh Hoan, Nguyen Dinh Duong, Asako Konda, Koji K ...
    2002 Volume 41 Issue 6 Pages 4-13
    Published: December 25, 2002
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.41.6_4
    JOURNAL FREE ACCESS
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    One of issues of automated classification is how to describe vegetation category so that the computer can understand and makes classification accordingly to it. Such system of definition is suitable for conventional vegetation mapping by ground observation or visual image interpretation when the interpreter combines image and auxiliary information to classify an object. Base of supervised classification is statistics. Established classes from training sites calculate function. Unsupervised classification with a clustering technique provides automated grouping. But there is no way to establish a fixed relation between a cluster code and a certain vegetation category. The most powerful classification in common use is automated classification. The author has discovered several image invariants based on Graphical Analysis of the Spectral reflectance Curve of a pixel (GASC) . The invariant founded includes modulation of the spectral reflectance curve, total reflected radiance index and spectral angles.
    Using GLI Simulated data of Ninh Thuan, Binh Thuan and Lam Dong provinces observed on March 1, 1996 has carried out the research. Moreover results of post classification interpretation suggest that time is consuming and a subjective process requires extensive ground truth data collection.
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  • Expansion of Feature Vector Introduced Rajski Distance for Land-cover Classification using Polarimetric SAR Image Data
    Takahiro YAMADA, Takashi HOSHI
    2002 Volume 41 Issue 6 Pages 14-26
    Published: December 25, 2002
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.41.6_14
    JOURNAL FREE ACCESS
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    In this paper, expansion of feature vector using Rajski distance image is proposed to improve the accuracy of landcover classification using polarimetric SAR image data. To indicate a reason for the introduction of Rajski distance, simulation of Rajski distance value for the combination of fundamental scattering models is executed, and the results are inspected by comparison with calcurated value from some real polarimetric SAR data. To compare the classification accuracy for the different feature vector ; one of them is constructed only by amplitude images and the other is added Rajski distance images, the availability is shown by Euclid distance method and maximum likelihood method as supervised classifier. The expansion of feature vector proposed in this paper is able to be realized using amplitude images only since this method does not require any phase information.
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  • Integration of Geographic Features to DEM, and Applications of Simulated SAR Images
    Takako Sakurai-Amano, Yuko Sato, Mikio Takagi, Mikio Satomura, Shigeki ...
    2002 Volume 41 Issue 6 Pages 27-33
    Published: December 25, 2002
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.41.6_27
    JOURNAL FREE ACCESS
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    Geometric distortions make the image analysis of monitored SAR data difficult. DEM (Digital Elevation Model) has been used to simulate SAR images to interpret the SAR images of hilly areas. In this study, we integrated geographic features to the DEM and make the simulated SAR image useful for both hilly and flat areas. Modification of DEM was done by overlaying a topographical map (1/25000) on the corresponding DEM, and then slightly modifying the altitude of the geographical features such as rivers. Those geographical features became visible in a SAR image simulated from the modified DEM and gave useful clues for interpreting observed SAR images. Such simulated SAR images are applicable for planning the strategy of SAR data analysis, training of SAR image interpretation, co-registration of SAR image and DEM in 2 pass Differential interferometry, and identification of ground control points.
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  • [title in Japanese]
    [in Japanese]
    2002 Volume 41 Issue 6 Pages 34
    Published: December 25, 2002
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.41.6_34
    JOURNAL FREE ACCESS
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  • [title in Japanese]
    Yoshiyuki FUKUZAWA
    2002 Volume 41 Issue 6 Pages 35-37
    Published: December 25, 2002
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.41.6_35
    JOURNAL FREE ACCESS
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    [in Japanese]
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