The extraction algorithm of ocean surface oil spill in Gulf of Mexico based on MODIS data

Yuanfang Sun, Yan Zhou, Bin Zhou, Yingying Gai, WenWen Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper extracted oil spill which happened in Gulf of Mexico using two images obtained from MODIS on May 17, 2010 and May 24, 2010, and then analyzed the accuracy of extraction results based on the confusion matrix. It was conducted with eigenvectors built by multi-spectral information and spectral matching with the texture characteristics to recognize targets in consideration of mix points phenomenon between oil slick and sea water. Meanwhile, it also made comparisons with minimum distance algorithm and support vector machine to extract oil slick. The contrast among these three algorithms showed that the improved spectral angle mapper (SAM) algorithm had good effect of monitoring the oil spill area than others. Then confusion matrix was used to verify the result accuracy. Results showed that the overall accuracy were up to 90%, and they could meet the extraction accuracy requirement, which could be used in oil spill dynamic monitoring and could provide technical support for oil spill trend and oil sea pollution response.

Original languageEnglish (US)
Title of host publicationInternational Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2013
PublisherAtlantis Press
Pages827-830
Number of pages4
ISBN (Print)9789078677772
StatePublished - 2013
Event2013 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2013 - Nanjing, China
Duration: Jul 26 2013Jul 28 2013

Other

Other2013 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2013
CountryChina
CityNanjing
Period7/26/137/28/13

Fingerprint

Oil spills
Mexico
monitoring
Monitoring
Eigenvalues and eigenfunctions
Support vector machines
water
Pollution
Textures
trend
Oils
Water

Keywords

  • Gulf of Mexico
  • MODIS
  • Oil spill
  • SAM
  • Texture feature

ASJC Scopus subject areas

  • Computer Science Applications
  • Transportation

Cite this

Sun, Y., Zhou, Y., Zhou, B., Gai, Y., & Li, W. (2013). The extraction algorithm of ocean surface oil spill in Gulf of Mexico based on MODIS data. In International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2013 (pp. 827-830). Atlantis Press.

The extraction algorithm of ocean surface oil spill in Gulf of Mexico based on MODIS data. / Sun, Yuanfang; Zhou, Yan; Zhou, Bin; Gai, Yingying; Li, WenWen.

International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2013. Atlantis Press, 2013. p. 827-830.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sun, Y, Zhou, Y, Zhou, B, Gai, Y & Li, W 2013, The extraction algorithm of ocean surface oil spill in Gulf of Mexico based on MODIS data. in International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2013. Atlantis Press, pp. 827-830, 2013 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2013, Nanjing, China, 7/26/13.
Sun Y, Zhou Y, Zhou B, Gai Y, Li W. The extraction algorithm of ocean surface oil spill in Gulf of Mexico based on MODIS data. In International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2013. Atlantis Press. 2013. p. 827-830
Sun, Yuanfang ; Zhou, Yan ; Zhou, Bin ; Gai, Yingying ; Li, WenWen. / The extraction algorithm of ocean surface oil spill in Gulf of Mexico based on MODIS data. International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2013. Atlantis Press, 2013. pp. 827-830
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