The Extraction Algorithm of Ocean Surface Oil Spill in Gulf of Mexico based on MODIS Data

DOI

10.2991/rsete.2013.200How to use a DOI?

Keywords

MODIS, Gulf of Mexico, oil spill, texture feature, SAM

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Sun Yuanfang
AU  - Zhou Bin
AU  - Gai Yingying
AU  - Zhou Yan
AU  - Li Wenwen
PY  - 2013/08
DA  - 2013/08
TI  - The Extraction Algorithm of Ocean Surface Oil Spill in Gulf of Mexico based on MODIS Data
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 825
EP  - 828
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.200
DO  - 10.2991/rsete.2013.200
ID  - Yuanfang2013/08
ER  -