DocumentCode
2880066
Title
Polarimetric Ship Detection Based on Principle Component Analysis and Sparsity
Author
Sun, Yuan ; Wang, Chao ; Zhang, Hong ; Zhang, Bo
Author_Institution
Center for Earth Obs. & Digital Earth, Beijing, China
fYear
2012
fDate
1-3 June 2012
Firstpage
1
Lastpage
4
Abstract
In this paper, A novel ship detection method based on the principle component analysis technique and sparseness is developed. The model relates components of the covariance matrix. RADARSAT-2 QUAD Mode image is used to demonstrate the efficiency of the method. Compared with HV CFAR detector a better performance of our method is shown. Moreover, this method does not depend on the size of target and therefore offers more adaptability for ship detection.
Keywords
covariance matrices; image sensors; principal component analysis; radar detection; radar imaging; radar polarimetry; ships; HV CFAR detector; RADARSAT-2 QUAD mode image; covariance matrix; polarimetric ship detection method; principle component analysis technique; sparseness development; Covariance matrix; Detectors; Marine vehicles; Principal component analysis; Scattering; Synthetic aperture radar; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-0872-4
Type
conf
DOI
10.1109/RSETE.2012.6260657
Filename
6260657
Link To Document