Title :
Ship Wakes Detection in SAR Images Based on the Joint Radon Transform and Entropy
Author :
Du, Pengfei ; Tang, Ziyue ; Wang, Yongliang ; Sun, Yongjian
Author_Institution :
Wuhan Radar Acad.
Abstract :
In order to distinguish true ship wakes from other spurious linear feature effectively, a novel method of ship wakes detection based on the Radon transform (RT) and on the entropy, and named joint Radon and entropy detection algorithm (JRE) is proposed. The proposed approach extracts all possible peaks in Radon transform space with a low threshold, then computes the entropies centering around each peak and identifies the true ship wakes from spurious ones. Furthermore, the method can increase the detection probability and reduce the false alarm probability. Theoretical analysis and experimental results show that the method is capable of detecting synthetic aperture radar (SAR) ship wakes precisely and reliably in the presence of both strong noise and sea clutter
Keywords :
Radon transforms; entropy; probability; radar clutter; radar detection; radar imaging; ships; synthetic aperture radar; JRE algorithm; SAR images; joint Radon-entropy detection; probability; sea clutter; ship wakes detection; Air traffic control; Aircraft; Entropy; Kelvin; Marine vehicles; Oceans; Radar detection; Sun; Surveillance; Synthetic aperture radar; Radon transform; SAR images; entropy; ship wakes;
Conference_Titel :
Radar, 2006. CIE '06. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9582-4
Electronic_ISBN :
0-7803-9583-2
DOI :
10.1109/ICR.2006.343333