Content-Based Remote Sensing Image Retrieval Using Image Multi-feature Combination and SVM-Based Relevance Feedback

Author:

Zhao Lijun,Tang Jiakui,Yu Xinju,Li Yongzhi,Mi Sujuan,Zhang Chengwen

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Balamurugan, V., AnandhaKumar, P.: An integrated color and texture feature based framework for content based image retrieval using 2D Wavelet Transform. In: International Conference on Computing, Communication and Networking, pp. 1–16 (2008)

2. Cheng, Q.M., Yang, C.J., Chen, F.X., et al.: Application of M-band wavelet theory to texture analysis in content-based aerial image retrieval. In: 2004 IEEE International Geoscience and Remote Sensing Symposium, vol. 3, pp. 2163–2165 (2004)

3. Du, P.J., Chen, Y.H., Tang, H., et al.: Study on content-based remote sensing image retrieval. In: 2005 IEEE International Geoscience and Remote Sensing Symposium, vol. 2, pp. 707–710 (2005)

4. Haralick, R.M., Shanmugam, K., Dinstein, I.: Texture features for image classification. IEEE Transactions on Systems, Man, and Cybernetics 3(6), 610–621 (1973)

5. Hsu, C.W., Chang, C.C., Lin, C.J.: A practical guide to support vector classification. Department of Computer Science and Information Engineering, National Taiwan University (2004)

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