Estimating the amount of ship recycling activity using remote sensing application

M. Watagawa, Takeshi Shinoda, K. Hasegawa

研究成果: ジャーナルへの寄稿Conference article

1 引用 (Scopus)

抄録

The Advanced Land Observing Satellite (ALOS) was launched for earth observation and there are more than 6 million scenes of archives including coastal areas during period of five years. The wealth of satellite imagery is noticeable for investigating monitoring methods such as ship detection in wide ocean area. Especially, it is useful way to estimate past behaviour from satellite imagery compared to reference data. We collected satellite imagery and analysis breaking process in major ship breaking yards between year 2009 and 2011. Comparing the number of recycling ships by satellite imagery to the world statistics is in good agreement. In this study, Remote Sensing Application has been discussed in order to assess the potential to be used for economic activities such as ship recycling in wide coastal area. It was used to evaluate the performance of ship recycling monitoring by Satellite imagery. Additionally, an approach for recognizing ships by SAR imagery regardless of weather conditions is presented.

元の言語英語
ページ(範囲)1195-1200
ページ数6
ジャーナルInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
41
DOI
出版物ステータス出版済み - 1 1 2016
イベント23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016 - Prague, チェコ共和国
継続期間: 7 12 20167 19 2016

Fingerprint

recycling
Satellite imagery
Recycling
Remote sensing
Ships
satellite imagery
remote sensing
monitoring
process analysis
Monitoring
economic activity
ship
synthetic aperture radar
imagery
Earth (planet)
statistics
Statistics
Satellites
Economics
ocean

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Geography, Planning and Development

これを引用

@article{6bd6e827f99a448b98f007060dbf91c4,
title = "Estimating the amount of ship recycling activity using remote sensing application",
abstract = "The Advanced Land Observing Satellite (ALOS) was launched for earth observation and there are more than 6 million scenes of archives including coastal areas during period of five years. The wealth of satellite imagery is noticeable for investigating monitoring methods such as ship detection in wide ocean area. Especially, it is useful way to estimate past behaviour from satellite imagery compared to reference data. We collected satellite imagery and analysis breaking process in major ship breaking yards between year 2009 and 2011. Comparing the number of recycling ships by satellite imagery to the world statistics is in good agreement. In this study, Remote Sensing Application has been discussed in order to assess the potential to be used for economic activities such as ship recycling in wide coastal area. It was used to evaluate the performance of ship recycling monitoring by Satellite imagery. Additionally, an approach for recognizing ships by SAR imagery regardless of weather conditions is presented.",
author = "M. Watagawa and Takeshi Shinoda and K. Hasegawa",
year = "2016",
month = "1",
day = "1",
doi = "10.5194/isprsarchives-XLI-B8-1195-2016",
language = "English",
volume = "41",
pages = "1195--1200",
journal = "International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives",
issn = "1682-1750",

}

TY - JOUR

T1 - Estimating the amount of ship recycling activity using remote sensing application

AU - Watagawa, M.

AU - Shinoda, Takeshi

AU - Hasegawa, K.

PY - 2016/1/1

Y1 - 2016/1/1

N2 - The Advanced Land Observing Satellite (ALOS) was launched for earth observation and there are more than 6 million scenes of archives including coastal areas during period of five years. The wealth of satellite imagery is noticeable for investigating monitoring methods such as ship detection in wide ocean area. Especially, it is useful way to estimate past behaviour from satellite imagery compared to reference data. We collected satellite imagery and analysis breaking process in major ship breaking yards between year 2009 and 2011. Comparing the number of recycling ships by satellite imagery to the world statistics is in good agreement. In this study, Remote Sensing Application has been discussed in order to assess the potential to be used for economic activities such as ship recycling in wide coastal area. It was used to evaluate the performance of ship recycling monitoring by Satellite imagery. Additionally, an approach for recognizing ships by SAR imagery regardless of weather conditions is presented.

AB - The Advanced Land Observing Satellite (ALOS) was launched for earth observation and there are more than 6 million scenes of archives including coastal areas during period of five years. The wealth of satellite imagery is noticeable for investigating monitoring methods such as ship detection in wide ocean area. Especially, it is useful way to estimate past behaviour from satellite imagery compared to reference data. We collected satellite imagery and analysis breaking process in major ship breaking yards between year 2009 and 2011. Comparing the number of recycling ships by satellite imagery to the world statistics is in good agreement. In this study, Remote Sensing Application has been discussed in order to assess the potential to be used for economic activities such as ship recycling in wide coastal area. It was used to evaluate the performance of ship recycling monitoring by Satellite imagery. Additionally, an approach for recognizing ships by SAR imagery regardless of weather conditions is presented.

UR - http://www.scopus.com/inward/record.url?scp=84979519349&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84979519349&partnerID=8YFLogxK

U2 - 10.5194/isprsarchives-XLI-B8-1195-2016

DO - 10.5194/isprsarchives-XLI-B8-1195-2016

M3 - Conference article

AN - SCOPUS:84979519349

VL - 41

SP - 1195

EP - 1200

JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

SN - 1682-1750

ER -