A Combined Detail Enhancing Algorithm and Texture Feature Extraction Method for Supervised Classification of Remote Sensing Images-Reference-Cited by-同舟云学术

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A Combined Detail Enhancing Algorithm and Texture Feature Extraction Method for Supervised Classification of Remote Sensing Images

Published:2017-10-03 Issue:3 Volume:46 Page:327-336
ISSN:0255-660X
Container-title:Journal of the Indian Society of Remote Sensing
language:en
Short-container-title:J Indian Soc Remote Sens

Author:

Venkateswaran K.,Kasthuri N.,Alaguraja R. A.

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/article/10.1007/s12524-017-0705-7/fulltext.html

Reference15 articles.

1. Atto, A. M., Pastor, D., & Mercier, G. (2009). Smooth adaptation by sigmoid shrinkage. EURASIP Journal on Image and Video Processing, 8, 1–16.

2. Bamberger, R. H., & Smith, M. J. T. (1992). A filter bank for the directional decomposition of images: Theory and design. IEEE Transactions on Signal Processing, 40(4), 882–893.

3. Chang, S. G., Yu, B., & Vetterli, M. (2000). Adaptive wavelet thresholding for image denoising and compression. IEEE Transactions on Image Processing, 9(9), 1532–1546.

4. Da Cunha, A. L., Zhou, J., & Do, M. N. (2006). The non subsampled contourlet transform: Theory, design, and application. IEEE Transactions on Image Processing, 15(10), 3089–3101.

5. Dengwen, Z., & Wengang, C. (2008). Image denoising with an optimal threshold and neighbouring window. Pattern Recognition Letters, 29(11), 1694–1697.

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