Open AccessDetection of ship targets on the sea surface based on Lyapunov exponents of image block
Author(s) -
Songnian He,
Yang Shao-Qing,
Shi Ai-guo,
Tianwei Li
Publication year - 2009
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.58.794
Subject(s) - lyapunov exponent , change detection , computer science , feature (linguistics) , algorithm , lyapunov function , block (permutation group theory) , dimension (graph theory) , image (mathematics) , surface (topology) , artificial intelligence , mathematics , pattern recognition (psychology) , nonlinear system , physics , geometry , chaotic , philosophy , linguistics , quantum mechanics , pure mathematics
The change of background's chaos feature when there are moving targets was analysed, and a new algorithm based on Lyapunov exponents of image block for moving targets detection on the sea surface, which is used for ship targets detection on the sea surface, was proposed. The new method defines the term of image gray level distance, extends the calculation method of Lyapunov exponents from single dimension signal to image signal based on the improved Wolf method, uses the change of the largest gray level distance Lyapunov exponents to detect ship targetssubmerged in chaos background. Experimental results show that the sea surface background has chaos feature. The proposed algorithm can detect ship targets effectively and can get better result than statistical analysis.