Please use this identifier to cite or link to this item:
|Title:||A novel multifractal estimation method and its application to remote image segmentation|
|Authors:||Du, G. |
Synthetic aperture radar
|Citation:||Du, G., Yeo, T.S. (2002-04). A novel multifractal estimation method and its application to remote image segmentation. IEEE Transactions on Geoscience and Remote Sensing 40 (4) : 980-982. ScholarBank@NUS Repository. https://doi.org/10.1109/TGRS.2002.1006395|
|Abstract:||Based on the gliding-box and relative differential box-counting algorithms, a novel method that estimates accurately the multifractal exponents, a distinct characteristics of gray-scale digital images, is proposed. Four natural texture images are used to test the performance of the novel multifractal measure. Comparisons with published methods show that the proposed method can efficiently describe texture images and can provide accurate classification results.|
|Source Title:||IEEE Transactions on Geoscience and Remote Sensing|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Sep 21, 2018
WEB OF SCIENCETM
checked on Sep 11, 2018
checked on Aug 17, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.