Estimating the amount of ship recycling activity using remote sensing application

M. Watagawa, Takeshi Shinoda, K. Hasegawa

Research output: Contribution to journalConference article

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)1195-1200
Number of pages6
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume41
DOIs
Publication statusPublished - Jan 1 2016
Event23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016 - Prague, Czech Republic
Duration: Jul 12 2016Jul 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

Cite this

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