Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)

Study on Extraction Methods of Ocean Surface Oil Spill using HJ-CCD Data

Authors
Gai Yingying, Zhou Bin, Sun Yuanfang, Zhou Yan, Li Wenwen
Corresponding Author
Gai Yingying
Available Online August 2013.
DOI
10.2991/rsete.2013.183How to use a DOI?
Keywords
Oil spill, HJ-1, Gulf of Mexico, texture characteristic, decision tree
Abstract

Oil spill is one of the most common ocean environmental disasters. Rapid and accurate access to the oil spill information has great significances to dynamic monitoring, conservation and sustainable use of the ocean. HJ-1 is a new satellite platform designed for environmental disasters. However, multi-spectral images obtained from HJ-1 have fewer spectral bands and the accuracy of acquiring the oil spill coverage only by spectral information is low. In this paper, oil spill occurred in Gulf of Mexico was selected as the research object. The texture characteristics which affect oil spill identification were extracted by Gray Level Co-occurrence Matrix (GLCM) and a decision tree method combined spectral characteristics with texture characteristics was established to extract the oil spill. And comparative analysis with the extraction result of Maximum Likelihood Classification (MLC) was performed. Results showed that, compared with MLC, the decision tree classification raised the user accuracy and the producer accuracy of extracting oil spill by 11.85% and 4.28%, respectively.

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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Volume Title
Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/rsete.2013.183
ISSN
1951-6851
DOI
10.2991/rsete.2013.183How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Gai Yingying
AU  - Zhou Bin
AU  - Sun Yuanfang
AU  - Zhou Yan
AU  - Li Wenwen
PY  - 2013/08
DA  - 2013/08
TI  - Study on Extraction Methods of Ocean Surface Oil Spill using HJ-CCD Data
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 754
EP  - 757
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.183
DO  - 10.2991/rsete.2013.183
ID  - Yingying2013/08
ER  -