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
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;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0872-4
DOI :
10.1109/RSETE.2012.6260657
