DocumentCode
552495
Title
Target detection in maritime search and rescue using SVD and frequency domain characteristics
Author
Ren, Lei ; Shi, Chao-jian ; Ran, Xin
Author_Institution
Merchant Marine Coll., Shanghai Maritime Univ., Shanghai, China
Volume
2
fYear
2011
fDate
10-13 July 2011
Firstpage
556
Lastpage
560
Abstract
A target detection method based on SVD and frequency domain characteristics in maritime search and rescue is proposed. The method can select maritime search and rescue targets from textured sea scenes. Firstly, intensity component is obtained and is decomposed using SVD. The first 80% singular components are combined to represent the dominant pattern of input image. Secondly, spectral residual approach and phase spectrum approach are applied to the difference between intensity component and corresponding dominant pattern. The resulting saliency maps show the salient region in maritime search and rescue visual scene and there by target detection performed.
Keywords
engineering computing; marine engineering; object detection; singular value decomposition; SVD; frequency domain characteristics; input image dominant pattern; intensity component; maritime search and rescue; phase spectrum approach; saliency maps; singular components; spectral residual approach; target detection; Clutter; Computational modeling; Frequency domain analysis; Image color analysis; Object detection; Strontium; Visualization; Maritime search and rescue; Phase spectrum; Singular value decomposition; Spectral residual; Target detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location
Guilin
ISSN
2160-133X
Print_ISBN
978-1-4577-0305-8
Type
conf
DOI
10.1109/ICMLC.2011.6016763
Filename
6016763
Link To Document