Detection of Oil Spill in Mexico Gulf Based on MODIS Data

Author

Xiao, Kang ; Xu, Huiping

Author_Institution

State Key Lab. of Marine Geol., Tongji Univ., Shanghai, China

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

1

Lastpage

4

Abstract

It happened an explosion to a rig of United States in Mexico Gulf on April 20, 2010. The oil leak spreading rapidly has caused a serious pollution to Mexico Gulf, which brings about enormous environmental and economic losses. This paper makes a spectral analysis of the region of oil spill to reach the optimal composite band of false color based on MODIS data. What´s more, we have achieved the algorithm of fuzzy clustering method (FCM) combined with the texture analysis by VC++ programming, resulting in the most obvious image of the segmentation of oil spill area.

Keywords

fuzzy set theory; geophysical image processing; image segmentation; image texture; marine pollution; oil pollution; pattern clustering; programming languages; spectral analysis; MODIS data; Mexico Gulf; United States; VC++ programming; economic losses; environmental losses; explosion; false color; fuzzy clustering method; image segmentation; oil leak; oil spill detection; optimal composite band; pollution; spectral analysis; texture analysis; Entropy; Films; MODIS; Petroleum; Reflectivity; Remote sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Technology (ICMT), 2010 International Conference on

Conference_Location

Ningbo

Print_ISBN

978-1-4244-7871-2

Type

conf

DOI

10.1109/ICMULT.2010.5631039

Filename

5631039