Unsupervised Texture-Based SAR Image Segmentation Using Spectral Regression and Gabor Filter Bank

Author:

Tirandaz Zeinab,Akbarizadeh Gholamreza

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development

Reference28 articles.

1. Akbarizadeh, G. (2012). A new statistical-based kurtosis wavelet energy feature for texture recognition of SAR images. IEEE Transactions on Geoscience and Remote Sensing, 50(11), 4358–4368.

2. Asuncion, A., & Newman, D. J. (2007). UCI machine learning repository. Irvine: University of California, School of Information and Computer Science. http://www.ics.uci.edu/~mlearn/MLRepository.html .

3. Bengio, Y., Paiement, J. F., Vincent, P., Delalleau, O., Roux, N. L., & Ouimet, M. (2003). Out-of-sample extensions for LLE isomap, MDS, eigenmaps, and spectral clustering. Advances neural information processing systems (pp. 177–184). Cambridge: MIT Press.

4. Bovik, A. C., Clark, M., & Geisler, W. S. (1990). Multichannel texture analysis using localized spatial filters. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(1), 55–73.

5. Cai, D. (2009). Spectral regression: A regression framework for efficient regularized subspace learning. PhD Thesis, Department of Computer Science, UIUC.

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