Journal of The Remote Sensing Society of Japan
Online ISSN : 1883-1184
Print ISSN : 0289-7911
ISSN-L : 0289-7911
Volume 8, Issue 4
Displaying 1-8 of 8 articles from this issue
  • F. Anzai, R. Tateishi, K. Tsuchiya
    1988 Volume 8 Issue 4 Pages 359-369
    Published: December 30, 1988
    Released on J-STAGE: May 22, 2009
    JOURNAL FREE ACCESS
    Experiments on correction of geometric distortion of SPOT HRV image data based on a polynomial and ground control points indicate following features. In case of the Level-1A SPOT HRV image data the optimum degree of the polynomial is the 2-nd degree both for a latitude-longitude coordinate system and a plane rectangular coordinate system, while in case of the Level-1B data the optimum degree is the bilinear for the latitude-longitude coordinate system and linear for the plane rectangular coordinate system.
    A computer program for the correction of geometric distortion has been developed in which ground control points are not available. The result of the verification of the program in reference with well defined check points indicates that although an absolute error is large the standard deviation of the error is within 1 pixel for the multispectral mode data and within 2 pixels in case of the panchromatic mode data.
    The ground control points and check points utilized in the studies are those on the assumed standard height and are derived from the standard map published by Geographical Survey Institute of Japan, the satellite positions and the information of the geoid.
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  • Kohei Arai, Nobuyosih Fujimoto
    1988 Volume 8 Issue 4 Pages 371-380
    Published: December 30, 1988
    Released on J-STAGE: May 22, 2009
    JOURNAL FREE ACCESS
    A method for Ground Contral Point, GCP acquisi-tion using simulated SAR image, derived from Digital Terrain Model, DTM, is proposed.
    The Japanese Earth Resources Satellite-1, JERS-1, will be launched in 1992. Before that it would be better to prepare GCPs for assessment of geometric accuracy of SAR imagery data.
    In order to acquire GCPs without real SAR imagery data, simulated SAR images were generated from DTM. In this study, simulated image is derived from elevation data only, under an assumption of a simple scattering model without consideration of complex dielectric constant of the targets of interest.
    The performance of the acquired GCPs was evaluated by using several measures with texture features of GCP chip images.
    This paper describes the details about proposed method for acquisition of GCPs and simulated results on relationship between texture features and GCP matching success rate corresponding to the crosscorrelation between reference and distorted GCP chip images.
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  • S. Tanba, T. Souma, I. Yoshida, R. Yokoyama
    1988 Volume 8 Issue 4 Pages 381-392
    Published: December 30, 1988
    Released on J-STAGE: December 11, 2009
    JOURNAL FREE ACCESS
    The sea surface temperature (SST) detected by the AVHRR sensors of NOAA-7 and NOAA-9 was compared with the in situ SST observed by the automatic buoy system of Mutsu bay, which is situated in the northern Honshu, Japan. The buoy system is composed of six fixed buoys and has been monitoring SST at every hour. By screening cloud free AVHRR data in the period of 1984-1987, the total of 141 brightness temperatures at the buoys were recovered. To each AVHRR SST, the nearest time buoy SST at the corresponding position was matched up. The spatial and temporal consistency in each match-up is excellent to be within three pixel resolution and 30 minutes. The regression analysis was applied to the data set by specifying the object variable and the explanation variable to be the buoy SST and the AVHRR SST, respectively. In the results of the single variate regression analysis, the standard errors were distributed between 0.5-1.2°C depending upon the grouped conditions of the data set. But in the double variate regression by using both ch. 4 and ch. 5 SSTs, the residues were improved remarkably. The matchups under the large temperature difference conditions between the air and the sea surface, however, were accompanied by large residues. This is meant that data strongly disturbed by air-sea interacting effects are difficult to be compensated by the MCSST method. In the regression by eliminating these specific match-ups, the standard errors in the grouped data sets of NOAA-7 and NOAA-9 were reduced to 0.47 and 0.48°C, respectively. When our data set was applied to the SST estimation functions suggested by McClain and Strong, there appeared biases of -0.54--0.41°C and standard errors of 0.94-0.96°C.
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  • N. Fugono, K. Arai
    1988 Volume 8 Issue 4 Pages 393-402
    Published: December 30, 1988
    Released on J-STAGE: May 22, 2009
    JOURNAL FREE ACCESS
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  • 1988 Volume 8 Issue 4 Pages 403-404
    Published: December 30, 1988
    Released on J-STAGE: May 22, 2009
    JOURNAL FREE ACCESS
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  • Executive Committee of Summer School
    1988 Volume 8 Issue 4 Pages 413-419
    Published: December 30, 1988
    Released on J-STAGE: May 22, 2009
    JOURNAL FREE ACCESS
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  • S. Tanaka, T. Sugimura
    1988 Volume 8 Issue 4 Pages 421-425
    Published: December 30, 1988
    Released on J-STAGE: May 22, 2009
    JOURNAL FREE ACCESS
  • 1988 Volume 8 Issue 4 Pages 436-454
    Published: December 30, 1988
    Released on J-STAGE: May 22, 2009
    JOURNAL FREE ACCESS
    Download PDF (4930K)
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