Noise Filtering in High-Resolution Satellite Images Using Composite Multiresolution Transforms-Reference-Cited by-同舟云学术

Noise Filtering in High-Resolution Satellite Images Using Composite Multiresolution Transforms

Published:2018-12 Issue:5-6 Volume:86 Page:249-261
ISSN:2512-2789
Container-title:PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science
language:en
Short-container-title:PFG

Author:

Ansari Rizwan Ahmed^ORCID,Buddhiraju Krishna Mohan

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/article/10.1007/s41064-019-00061-4/fulltext.html

Reference27 articles.

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2. AlZubi S, Islam N, Abbod M (2011) Multiresolution analysis using wavelet, ridgelet, and curvelet transforms for medical image segmentation. J Biomed Imaging 2011:136034

3. Ansari RA, Buddhiraju KM (2015) Noise filtering of remotely sensed images using hybrid wavelet and curvelet transform approach. In: IEEE international geoscience and remote sensing symposium (IGARSS), Milan, Italy, 26–31 July 2015. IEEE, Milan, pp 505–508. https://doi.org/10.1109/IGARSS.2015.7325811

4. Ansari RA, Buddhiraju KM (2016) A comparative evaluation of denoising of remotely sensed images using wavelet, curvelet and contourlet transforms. J Indian Soc Remote Sens 44(6):843–853

5. Ansari RA, Mohan BK (2014) Noise filtering of remotely sensed images using iterative thresholding of wavelet and curvelet transforms. Int Arch Photogramm Remote Sens Spat Inf Sci 40(1):57

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