A Ship Detection Model in Optical Satellite Image

Abstract:

In this paper, we propose a novel ship detection model based on multi-cue visual attention mechanism, which include two steps. Firstly, the model acquires salient candidate regions across entire scene by using a bottom-up visual attention cue. The cue is saliency analysis method based on visual contrast. Then, a analysis method based on the environment around the ship is used to distinguish between ship and harbor.The method dont use the shape, edge or other forms of features of the ship objects. The ship detection results prove our method can effectively concentrate on the objects with greater contrast and distinguish between ship and harbor.

• Periodical: Applied Mechanics and Materials (Volumes 519-520)
• Pages: 680-683
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.519-520.680
• Online since: February 2014
• Authors: Xiao Guang Hu, Cheng Qi Cheng*, De Ren Li
• Keywords: Multi-Cue, Ship Detection, Visual Attention Mechanism, Visual Contrast

References

[1] Crisp, D.J., The state-of-the-art in ship detection in synthetic aperture radar imagery, 2004, DTIC Document.

[2] Migliaccio, M., A. Gambardella and F. Nunziata. Ship detection over single-look complex SAR images[C]. in US/EU-Baltic International Symposium, 2008 IEEE/OES. 2008. IEEE.

DOI: 10.1109/baltic.2008.4625554

[3] Velotto, D., M. Soccorsi and S. Lehner. Azimuth ambiguities removal for ship detection using full polarimetric X-band SAR data[C]. in Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International. 2012. IEEE.

DOI: 10.1109/igarss.2012.6351863

[4] Gambardella, A., F. Nunziata and M. Migliaccio, A physical full-resolution SAR ship detection filter[J]. Geoscience and Remote Sensing Letters, IEEE, 2008. 5(4): pp.760-763.

DOI: 10.1109/lgrs.2008.2005255

[5] Zhang, X., et al., A novel polarimetric SAR ship detection filter[J]. (2013).

[6] Corbane, C., et al., A complete processing chain for ship detection using optical satellite imagery[J]. International Journal of Remote Sensing, 2010. 31(22): pp.5837-5854.

DOI: 10.1080/01431161.2010.512310

[7] Proia, N. and V. Pagé, Characterization of a bayesian ship detection method in optical satellite images[J]. Geoscience and Remote Sensing Letters, IEEE, 2010. 7(2): pp.226-230.

DOI: 10.1109/lgrs.2009.2031826

[8] Chen, F., et al. Graph-based ship extraction scheme for optical satellite image[C]. in Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International. 2011. IEEE.

DOI: 10.1109/igarss.2011.6049172

[9] Guang, Y., L. Qichao and G. Feng. A Novel Ship Detection Method Based on Sea State Analysis from Optical Imagery[C]. in Image and Graphics (ICIG), 2011 Sixth International Conference on. 2011. IEEE.

DOI: 10.1109/icig.2011.19

[10] Wolfe, J.M. and T.S. Horowitz, What attributes guide the deployment of visual attention and how do they do it?[J]. Nature Reviews Neuroscience, 2004. 5(6): pp.495-501.

DOI: 10.1038/nrn1411

[11] Riesenhuber, M. and T. Poggio, Hierarchical models of object recognition in cortex[J]. Nature neuroscience, 1999. 2(11): pp.1019-1025.

DOI: 10.1038/14819

[12] Mannan, S.K., C. Kennard and M. Husain, The role of visual salience in directing eye movements in visual object agnosia[J]. Current biology, 2009. 19(6): p. R247-R248.

DOI: 10.1016/j.cub.2009.02.020

[13] Chen, T., et al. Sketch2Photo: internet image montage[C]. in ACM Transactions on Graphics (TOG). 2009. ACM.

[14] Rutishauser, U., et al. Is bottom-up attention useful for object recognition?[C]. in Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on. 2004. IEEE.

DOI: 10.1109/cvpr.2004.1315142

[15] Han, J., et al., Unsupervised extraction of visual attention objects in color images[J]. Circuits and Systems for Video Technology, IEEE Transactions on, 2006. 16(1): pp.141-145.

DOI: 10.1109/tcsvt.2005.859028

[16] LI, D., X. HU and X. ZHU, Visual Contrast Based Saliency Map Generation and Object Detection[J]. Geomatics and Information Science of Wuhan University, 2012. 37(4): pp.379-383.