OIL SPILL DETECTION BASED ON A SUPERPIXEL SEGMENTATION METHOD FOR SAR IMAGE

被引：6

作者：

Chen, Ziyi ^{[1
]}

Wang, Cheng ^{[1
]}

Teng, Xiuhua

Cao, Liujuan ^{[1
]}

Li, Jonathan ^{[1
]}

机构：

[1] Xiamen Univ, Sch Informat Sci & Engn, Ctr Excellence Remote Sensing & Spatial Informat, Xiamen 361005, Fujian, Peoples R China

来源：

2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年

关键词：

Oil spill detection; OTSU; SAR image; Superpixels; SEA-SURFACE;

D O I：

10.1109/IGARSS.2014.6946784

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a rapid oil spill detection approach which still maintains high detection accuracy is presented. The major contribution of the approach is using a superpixel segmentation method to subdivide the target SAR image into many approximate uniform scale pieces and preserves the boundaries well. Furthermore, a novel approach combine space distance, intensity deviation and size information together (SIS) is presented to eliminate the potential false positive, which is convenient and effective meanwhile. The proposed approach performs well and fast in both the synthetic data and RADARSAT-1 ScanSAR data which contain verified oil spills. The processing time is about 6s for a 512 x 512 image.

引用

页码：1725 / 1728

页数：4

共 11 条

[1]

Achanta R., 2012, Slic superpixels compared to state-of-the-art superpixel methods

[2] RADAR SIGNATURES OF OIL FILMS FLOATING ON THE SEA-SURFACE AND THE MARANGONI EFFECT [J].

ALPERS, W ;

HUHNERFUSS, H .

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1988, 93 (C4) :3642-3648

[3]

[Anonymous], FULLY AUTOMATIC DARK

[4] Oil spill detection by satellite remote sensing [J].

Brekke, C ;

Solberg, AHS .

REMOTE SENSING OF ENVIRONMENT, 2005, 95 (01) :1-13

[5] Neural networks for oil spill detection using ERS-SAR data [J].

Del Frate, F ;

Petrocchi, A ;

Lichtenegger, J ;

Calabresi, G .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2000, 38 (05) :2282-2287

[6] Review of oil spill remote sensing [J].

Fingas, MF ;

Brown, CE .

SPILL SCIENCE & TECHNOLOGY BULLETIN, 1997, 4 (04) :199-208

[7]

Liu M.-Y., 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence, P1

[8] THRESHOLD SELECTION METHOD FROM GRAY-LEVEL HISTOGRAMS [J].

OTSU, N .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1979, 9 (01) :62-66

[9] Dark-spot detection from SAR intensity imagery with spatial density thresholding for oil-spill monitoring [J].

Shu, Yuanming ;

Li, Jonathan ;

Yousif, Hamad ;

Gomes, Gary .

REMOTE SENSING OF ENVIRONMENT, 2010, 114 (09) :2026-2035

[10] SAR detection and characterization of sea surface slicks [J].

Trivero, P ;

Fiscella, B ;

Gomez, F ;

Pavese, P .

INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (03) :543-548

← 1 2 →