Ship detection in optical remote sensing image based on visual saliency and AdaBoost classifier

Abstract

In this paper, firstly, target candidate regions are extracted by combining maximum symmetric surround saliency detection algorithm with a cellular automata dynamic evolution model. Secondly, an eigenvector independent of the ship target size is constructed by combining the shape feature with ship histogram of oriented gradient (S-HOG) feature, and the target can be recognized by AdaBoost classifier. As demonstrated in our experiments, the proposed method with the detection accuracy of over 96% outperforms the state-of-the-art method.

Keywords

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References

[1] Wang Y., Ma L., Tian Y.. Acta Automatica Sinaca. 2011, 37: 1029

[2] Wang Y., Liu H.. IEEE Transactions on Geoscience and Remote Sensing. 2012, 50: 4173

[3] Zhao Y., Wu X., Wen L., Xu S.. Opto-Electronic Engineering. 2008, 35: 102

[4] Zhu C., Zhou H., Wang R., Guo J.. IEEE Transactions on Geoscience and Remote Sensing. 2010, 48: 3446

[5] Li Z., Yang D., Chen Z.. Multi-Layer Sparse Coding Based Ship Detection for Remote Sensing Images. IEEE International Conference on Information Reuse and Integration. 2015122

[6] Yang G., Li B., Ji S., Gao F., Xu Q.. IEEE Geoscience and Remote Sensing Letters. 2014, 11: 641

[7] Song Z., Sui H., Wang Y.. Automatic Ship Detection for Optical Satellite Images Based on Visual Attention Model and LBP. IEEE Workshop on Electronics, Computer and Applications, Ottawa. 2014722

[8] Yang F., Xu Q., Gao F., Hu L.. Ship Detection from Optical Satellite Images Based on Visual Search Mechanism. IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 20153679

[9] Qi S., Ma J., Lin J., Li Y., Tian J.. IEEE Geoscience and Remote Sensing Letters. 2015, 12: 1451

[10] Achanta R., Süsstrunk S.. Saliency Detection Using Maximum Symmetric Surround. IEEE International Conference on Image Processing, Hong Kong. 20102653

[11] Qin Y., Lu H., Xu Y., Wang H.. Saliency detection via Cellular Automata. IEEE Conference on Computer Vision and Pattern Recognition. 2015110

[12] Achanta R., Shaji A., Smith K., Lucchi A., Fua P., Süsstrunk S.. Slic Superpixels. EPFL Technical Report. 2010149300

[13] Schapire R. E., Singer Y.. Machine Learning. 1999, 37: 297

[14] Sochman J., Malas J.. AdaBoost with Totally Corrective Updates for Fast Face Detection. Sixth IEEE International Conference on Automatic Face and Gesture Recognition. 2004445

[15] Wang P., Shen C., Barnes N., Zheng H.. IEEE Transactions on Neural Networks and Learning Systems. 2012, 23: 33