SAR image classification based on correlation of directional features in frequency domain

Hua Zhong; Xiaoming Yang; Licheng Jiao

doi:10.1117/12.831409

30 October 2009 SAR image classification based on correlation of directional features in frequency domain

Hua Zhong, Xiaoming Yang, Licheng Jiao

Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74962F (2009) https://doi.org/10.1117/12.831409
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

A new SAR image classification method is proposed based on the remarkable correlation of feature channels, which are obtained by dividing the Fourier plane into sectors according to the frequency and direction. Compared with other feature correlation based methods in wavelet and Contourlet domain, our method operates directly in the Fourier plane, which is more robust with regard to images size and more flexible in the capture of frequency and directional information. Moreover, the use of FFT transform is computationally more attractive. Experimental results on the Brodatz textures and SAR images demonstrate the effectiveness and efficiency of the proposed method.

Citation Download Citation

Hua Zhong, Xiaoming Yang, and Licheng Jiao "SAR image classification based on correlation of directional features in frequency domain", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74962F (30 October 2009); https://doi.org/10.1117/12.831409

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KEYWORDS

Wavelets

Image classification

Synthetic aperture radar

Feature extraction

Databases

Image compression

Statistical analysis

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