Journal of the Japan society of photogrammetry and remote sensing

[title in Japanese]

[in Japanese]

1992 Volume 31 Issue 5 Pages 1
Published: December 10, 1992
Released on J-STAGE: March 19, 2010

DOIhttps://doi.org/10.4287/jsprs.31.5_1

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[title in Japanese]

[in Japanese], [in Japanese], [in Japanese]

1992 Volume 31 Issue 5 Pages 2-3
Published: December 10, 1992
Released on J-STAGE: March 19, 2010

DOIhttps://doi.org/10.4287/jsprs.31.5_2

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Partial cloud cover estimation within a pixel based on the category decompositions

Kohei Arai, Yasunori Terayama, Yoko Ueda, Masao Matsumoto

1992 Volume 31 Issue 5 Pages 4-10
Published: December 10, 1992
Released on J-STAGE: March 19, 2010

DOIhttps://doi.org/10.4287/jsprs.31.5_4

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A comparative study was conducted for estimation of the sea surface temperature of the pixel suffered from partial cloud cover within a pixel. Three methods for estimation of partial cloud cover within a pixel, based on well known least square method and maximum likelihood method, were compared. It was found that around 9% of RMS error can be achieved. Also it was found that estimation accuracy highly depends on variance of representative vectors for cloud and the ocean, or observed noise. The experimental results with simulated data show RMS error of Generalized Inverse Matrix Method is highly dependent to the noise followed by Maximum Likelihood Method and Least Square Method. The results also show the best estimation accuracy can be achieved for Maximum Likelihood Method followed by Least Square Method and Generalized Inverse Matrix Method.

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A Study on the Applicability of Thermal Infrared Data on the Rock Fall Investigation

Masahiro SETOJIMA, Tetsunori DOI, Yukio AKAMATSU, Masaru MORI

1992 Volume 31 Issue 5 Pages 11-21
Published: December 10, 1992
Released on J-STAGE: March 19, 2010

DOIhttps://doi.org/10.4287/jsprs.31.5_11

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Among the slope land disasters, the rock fall is large in scale and there are some disaster patterns in them which can not be elucidated by the conventional phenomena of rock falls. It is urgent at present to establish the measure to foresee and predict the occurrence of rock fall disaster.
From the past, the investigation has been made to the prospective hazardous areas by qualitative method mainly throuth the interpretation of oblique photograph and site survey.
Utilization of thermal infrared data is considered as one of the methods to investigate the potentiality of rock fall safely, efficiently and rapidly. In this study, we took up snowy and cold area as the model, and studied the possibility to apply the thermal infrared data on the rock fall investigation.

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Quantitative evaluation of lineament extraction potential using TM data

Atsushi IWASHITA, Haruhisa SHIMODA, Toshibumi SAKATA

1992 Volume 31 Issue 5 Pages 22-35
Published: December 10, 1992
Released on J-STAGE: March 19, 2010

DOIhttps://doi.org/10.4287/jsprs.31.5_22

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Lineament and geological information extraction from Remote Sensing data is important for the analysis of natural resources exploration. It is understand that lineaments are mostly reflecting the fractures of subsurface. These fractures sometimes work for the migration and stratigraphic trap of petroleum from deeper portion of source rocks.
From this point of view, In this paper, the quantitative evaluation using extracted lineaments pattern from Landsat TM has been studied. Two Laplacian types of edge enhancement processing were applied to compare the effect of enhancement. Lineaments were extracted by two interpretors from 9 processed images, and those extracted lineaments were analyzed statistically.
As the results, those lineamets were remarkably appeared defferently depending upon the features of each studied areas and edge enhancement parameters. Maximum cumlative length of extracted lineaments were nominaly appeared from simply enhanced images. Medium length of lineaments were also appeared from enhanced images.

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Labeling algorithm in unsupervised classification

Sunpyo HONG, Kiyonari FUKUE, Haruhisa SHIMODA, Toshibumi SAKATA

1992 Volume 31 Issue 5 Pages 36-45
Published: December 10, 1992
Released on J-STAGE: March 19, 2010

DOIhttps://doi.org/10.4287/jsprs.31.5_36

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A categorization method for cluster is necessary when an unsupervised learning is used for remote sensing image data classification. It is desirable that this method is performed automatically, because manual categorization is a highly time consuming process. In this paper, several automatic categorization methods were proposed and evaluated. They are 1) maximum number method, which assigns the target cluster to the category that occupies the largest area of that cluster; 2) maximum occupation rate method, which assigns the target cluster to the category which shows the maximum occupation rate within the catetory in that cluster; 3) minimum distance method, which assigns the target cluster to the category having minimum distance with that cluster; 4) element ratio method, which assigns the target region to the category which has the most similar element ratio with that region, it was certified that the result by the minimum distance method was almost same as the result made by a human operator.

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[title in Japanese]

[in Japanese]

1992 Volume 31 Issue 5 Pages 46-47
Published: December 10, 1992
Released on J-STAGE: March 19, 2010

DOIhttps://doi.org/10.4287/jsprs.31.5_46

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[title in Japanese]

[in Japanese]

1992 Volume 31 Issue 5 Pages 48-52
Published: December 10, 1992
Released on J-STAGE: March 19, 2010

DOIhttps://doi.org/10.4287/jsprs.31.5_48

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[title in Japanese]

1992 Volume 31 Issue 5 Pages 53-58
Published: December 10, 1992
Released on J-STAGE: March 19, 2010

DOIhttps://doi.org/10.4287/jsprs.31.5_53

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[title in Japanese]

[in Japanese]

1992 Volume 31 Issue 5 Pages 59-60
Published: December 10, 1992
Released on J-STAGE: March 19, 2010

DOIhttps://doi.org/10.4287/jsprs.31.5_59

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[title in Japanese]

[in Japanese]

1992 Volume 31 Issue 5 Pages 61-63
Published: December 10, 1992
Released on J-STAGE: March 19, 2010

DOIhttps://doi.org/10.4287/jsprs.31.5_61

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[title in Japanese]

[in Japanese]

1992 Volume 31 Issue 5 Pages 64-66
Published: December 10, 1992
Released on J-STAGE: March 19, 2010

DOIhttps://doi.org/10.4287/jsprs.31.5_64

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[title in Japanese]

[in Japanese]

1992 Volume 31 Issue 5 Pages 67-69
Published: December 10, 1992
Released on J-STAGE: March 19, 2010

DOIhttps://doi.org/10.4287/jsprs.31.5_67

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[title in Japanese]

[in Japanese]

1992 Volume 31 Issue 5 Pages 70-72
Published: December 10, 1992
Released on J-STAGE: March 19, 2010

DOIhttps://doi.org/10.4287/jsprs.31.5_70

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[title in Japanese]

[in Japanese]

1992 Volume 31 Issue 5 Pages 73-76
Published: December 10, 1992
Released on J-STAGE: March 19, 2010

DOIhttps://doi.org/10.4287/jsprs.31.5_73

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[title in Japanese]

[in Japanese]

1992 Volume 31 Issue 5 Pages 77-82
Published: December 10, 1992
Released on J-STAGE: March 19, 2010

DOIhttps://doi.org/10.4287/jsprs.31.5_77

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[title in Japanese]

[in Japanese]

1992 Volume 31 Issue 5 Pages 83-87
Published: December 10, 1992
Released on J-STAGE: March 19, 2010

DOIhttps://doi.org/10.4287/jsprs.31.5_83

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