8 December 2011 Scale and rotation invariant ship recognition using log-polar mapping and two-dimensional PCA
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Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 800319 (2011); doi: 10.1117/12.902762
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
A novel scale and rotation invariant ship recognition method using log-polar mapping and two-dimensional principal component analysis (2DPCA) is proposed. Log-polar mapping is very useful for eliminating the rotation and scale effects. 2DPCA is used to extract ship feature from normalized log-polar image become scale and rotation invariant. Experimental results show that the proposed method has improved recognition performance.
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Yi Chao, Guangzhou Zhao, "Scale and rotation invariant ship recognition using log-polar mapping and two-dimensional PCA", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 800319 (8 December 2011); doi: 10.1117/12.902762; https://doi.org/10.1117/12.902762
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KEYWORDS
Principal component analysis

Detection and tracking algorithms

Feature extraction

Associative arrays

Image classification

Facial recognition systems

Image resolution

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