Title :
An Improved Iterative Censoring Scheme for CFAR Ship Detection With SAR Imagery
Author :
Wentao An ; Chunhua Xie ; Xinzhe Yuan
Author_Institution :
Dept. of Syst. Eng., Nat. Satellite Ocean Applic. Service, Beijing, China
Abstract :
To eliminate the influence of target returns on the estimation of local sea clutter distributions, an improved iterative censoring scheme (ICS) for constant false-alarm rate detectors is proposed with two modifications. First, the proposed ICS censors out both target pixels and their four-connected neighborhood pixels from the estimation of local sea clutter distributions. Second, a novel initial detector is proposed to improve the convergence speed of ICS. The proposed initial detector, which only needs the probability of false alarms as an input parameter, is based on the sorting of all pixels under test. Experiments of ship detection with RADARSAT-2 ScanSAR wide mode images are presented to illustrate the effectiveness and improvements of the proposed ICS.
Keywords :
iterative methods; marine radar; object detection; radar clutter; radar detection; radar imaging; remote sensing by radar; ships; synthetic aperture radar; CFAR ship detection; RADARSAT-2 ScanSAR; SAR imagery; constant false alarm rate; image pixel sorting; improved ICS; iterative censoring scheme; neighborhood pixel; sea clutter distribution estimation; target detection; Clutter; Detection algorithms; Detectors; Estimation; Integrated circuits; Marine vehicles; Synthetic aperture radar; Constant false-alarm rate (CFAR) detector; iterative censoring scheme (ICS); synthetic aperture radar (SAR); target detection;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2013.2282820