An approach for visual attention based on biquaternion and its application for ship detection in multispectral imagery

被引:28
作者
Ding, Zhenghu [1 ]
Yu, Ying [1 ,3 ]
Wang, Bin [1 ,2 ]
Zhang, Liming [1 ]
机构
[1] Fudan Univ, Dept Elect Engn, Shanghai 200433, Peoples R China
[2] Fudan Univ, Minist Educ, Key Lab Wave Scattering & Remote Sensing Informat, Shanghai 200433, Peoples R China
[3] Yunnan Univ, Sch Informat Sci & Engn, Kunming 650091, Peoples R China
基金
中国国家自然科学基金;
关键词
Visual attention; Bottom-up; Biquaternion; Fourier transform; Ship detection; Multispectral imagery; FOURIER-TRANSFORM; PARIETAL CORTEX; SALIENCY; SEARCH; REPRESENTATION; CONSCIOUSNESS; SIGNALS; SHIFTS; MODEL; TIME;
D O I
10.1016/j.neucom.2011.05.027
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes an approach for visual attention based on biquaternion, and investigates its application for ship detection in multispectral imagery. The proposed approach describes high-dimensional data in the form of biquaternion and utilizes the phase spectrum of biquaternion Fourier transform to generate a required saliency map that can be used for salient target detection. In our method, the multidimensional data is processed as a whole, and the features contained in each spectral band can be extracted effectively. Compared with traditional visual attention approaches, our method has very low computational complexity. Experimental results on simulated and real multispectral remote sensing data have shown that the proposed method has excellent performance in ship detection. Furthermore, our method is robust against white noise and almost meets real-time requirements, which has great potentials in engineering applications. Crown Copyright (C) 2011 Published by Elsevier B.V. All rights reserved.
引用
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页码:9 / 17
页数:9
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