DocumentCode
143457
Title
Ship detection by using the M-Chi and M-Delta decompositions
Author
Junjun Yin ; Jian Yang
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear
2014
fDate
13-18 July 2014
Firstpage
2738
Lastpage
2741
Abstract
Ocean surveillance is an important application in synthetic aperture radar (SAR) imagery. Polarimetric SAR (Pol-SAR) provides the multi-channel scattering information and hence is very promising for earth observation. Recently, the dual polarimetric SAR especially the hybrid dual-pol mode (i.e., compact polarimetry) has been given a growing concern. It can provide wide imaging swath coverage with reduced system complexity and thus is of great potential for maritime surveillance applications. Compact decomposition methods have been widely evaluated and applied to the land cover applications. In this study, we investigate the performances of compact decompositions for ship detection. The surveillance scenario is focused on the coastal areas, where low wind regions (LWR) and small ships with low backscattered intensity often appear in Pol-SAR imagery. The compact m-δ and m-χ decompositions are included to show the importance of the contribution of total backscattered energy in ship detection. Results are demonstrated on two RADARSAT-2 acquisitions over Tianjin port and Dalian port, China.
Keywords
backscatter; decomposition; electromagnetic wave scattering; marine radar; object detection; radar imaging; radar polarimetry; search radar; ships; synthetic aperture radar; China; Dalian port; LWR; Pol-SAR imagery; RADARSAT-2 acquisitions; Tianjin port; coastal areas; compact decomposition method performance; dual polarimetric synthetic aperture radar imagery; earth observation; hybrid dual-pol mode; imaging swath coverage; land cover applications; low backscattered intensity; low wind regions; m-chi decompositions; m-delta decompositions; maritime surveillance applications; multichannel scattering information; ocean surveillance; ship detection; system complexity reduction; total backscattered energy; Marine vehicles; Polarimetry; Remote sensing; Scattering; Surveillance; Synthetic aperture radar; Vectors; Compact polarimetry; m-δ decomposition; m-χ decomposition; ship detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6947042
Filename
6947042
Link To Document