Journal of the Japan society of photogrammetry and remote sensing

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 61, Issue 3

Displaying 1-16 of 16 articles from this issue

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Preface

[title in Japanese]

[in Japanese]

2022 Volume 61 Issue 3 Pages 97
Published: 2022
Released on J-STAGE: July 01, 2023

DOIhttps://doi.org/10.4287/jsprs.61.97

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[title in Japanese]

[in Japanese], [in Japanese], [in Japanese], [in Japanese], [in Japane ...

2022 Volume 61 Issue 3 Pages 98-99
Published: 2022
Released on J-STAGE: July 01, 2023

DOIhttps://doi.org/10.4287/jsprs.61.98

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[title in Japanese]

[in Japanese]

2022 Volume 61 Issue 3 Pages 100-103
Published: 2022
Released on J-STAGE: July 01, 2023

DOIhttps://doi.org/10.4287/jsprs.61.100

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[title in Japanese]

[in Japanese], [in Japanese], [in Japanese], [in Japanese], [in Japane ...

2022 Volume 61 Issue 3 Pages 104-110
Published: 2022
Released on J-STAGE: July 01, 2023

DOIhttps://doi.org/10.4287/jsprs.61.104

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[title in Japanese]

2022 Volume 61 Issue 3 Pages 111
Published: 2022
Released on J-STAGE: July 01, 2023

DOIhttps://doi.org/10.4287/jsprs.61.111

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[title in Japanese]

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

2022 Volume 61 Issue 3 Pages 112-113
Published: 2022
Released on J-STAGE: July 01, 2023

DOIhttps://doi.org/10.4287/jsprs.61.112

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[title in Japanese]

[in Japanese]

2022 Volume 61 Issue 3 Pages 114-115
Published: 2022
Released on J-STAGE: July 01, 2023

DOIhttps://doi.org/10.4287/jsprs.61.114

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[title in Japanese]

Ram C. SHARMA, [in Japanese], [in Japanese]

2022 Volume 61 Issue 3 Pages 116-118
Published: 2022
Released on J-STAGE: July 01, 2023

DOIhttps://doi.org/10.4287/jsprs.61.116

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[title in Japanese]

[in Japanese], [in Japanese], [in Japanese], [in Japanese], [in Japane ...

2022 Volume 61 Issue 3 Pages 119-120
Published: 2022
Released on J-STAGE: July 01, 2023

DOIhttps://doi.org/10.4287/jsprs.61.119

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[title in Japanese]

[in Japanese], [in Japanese], Siti Nor Khuzaimah Binti Amit, [in Japan ...

2022 Volume 61 Issue 3 Pages 121-122
Published: 2022
Released on J-STAGE: July 01, 2023

DOIhttps://doi.org/10.4287/jsprs.61.121

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[title in Japanese]

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

2022 Volume 61 Issue 3 Pages 123-124
Published: 2022
Released on J-STAGE: July 01, 2023

DOIhttps://doi.org/10.4287/jsprs.61.123

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[title in Japanese]

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

2022 Volume 61 Issue 3 Pages 125-126
Published: 2022
Released on J-STAGE: July 01, 2023

DOIhttps://doi.org/10.4287/jsprs.61.125

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[title in Japanese]

[in Japanese], [in Japanese], [in Japanese], [in Japanese], [in Japane ...

2022 Volume 61 Issue 3 Pages 127-128
Published: 2022
Released on J-STAGE: July 01, 2023

DOIhttps://doi.org/10.4287/jsprs.61.127

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Original Papers

Estimation of Grape Sugar Content and Vineyard Soil Nutrients Using Hyperspectral Imager Data

Ayako MASAMUNE, Yuri WATANABE, Makoto MARUYA, Genya SAITO, Haruyuki SE ...

2022 Volume 61 Issue 3 Pages 129-139
Published: 2022
Released on J-STAGE: July 01, 2023

DOIhttps://doi.org/10.4287/jsprs.61.129

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Research on Method for Evaluating Displaced Joints of Sewer Pipes Using Deep Learning

Daisuke TAKEUCHI, Ekatsu YOSHIDA, Masahiro NOZAWA, Hiroaki YAMAGISHI, ...

2022 Volume 61 Issue 3 Pages 140-151
Published: 2022
Released on J-STAGE: July 01, 2023

DOIhttps://doi.org/10.4287/jsprs.61.140

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In Japan, the number of sewer pipes with a useful life of 50 years is expected to increase in the future, and efficient methods are required to maintain them. Various abnormalities occur in sewer pipes. In particular, displaced joints must be inspected and repaired because they are the major factors resulting in road cave-ins. In the current inspection and investigation of sewer pipes, surveyors operate a closed-circuit television (CCTV) camera while checking the monitor on the ground and record the presence of abnormalities and the degree of abnormality in the field or office. However, this method has certain problems in that it is time consuming and expensive to visually evaluate the degree of abnormality and the variation in judgment results among surveyors. In this research, we propose a method for detecting and evaluating displaced joints from the images of sewer pipes using deep learning to address these issues. Then, experiments will be conducted to clarify its usefulness.

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Development of a method for surveying the current situation in disaster water areas using ASV data and real-time streaming

Itaru SASAKI, Shoji YONEZUKA, Tsuyoshi KAWAMOTO

2022 Volume 61 Issue 3 Pages 152-157
Published: 2022
Released on J-STAGE: July 01, 2023

DOIhttps://doi.org/10.4287/jsprs.61.152

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In the disaster survey around the water area, there was a difference between the onshore and underwater measurement methods, and it was difficult to immediately grasp the disaster situation. In recent years, research equipment has become unmanned and speedy, and it has become possible to grasp the whole picture immediately. We have developed a method to deliver the situation by simultaneously performing ground survey and bathymetry using ASV equipped with UAV and narrow multi-beam measurement. We report this development process and the results of verification tests.

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