Please use this identifier to cite or link to this item:
|Title:||A novel lacunarity estimation method applied to SAR image segmentation||Authors:||Du, G.
Synthetic aperture radar (SAR)
|Issue Date:||Dec-2002||Citation:||Du, G., Yeo, T.S. (2002-12). A novel lacunarity estimation method applied to SAR image segmentation. IEEE Transactions on Geoscience and Remote Sensing 40 (12) : 2687-2691. ScholarBank@NUS Repository. https://doi.org/10.1109/TGRS.2002.807001||Abstract:||Based on the relative differential box-counting algorithm and the gliding-box algorithm, a novel method for estimating the lacunarity features of grayscale digital images is proposed in this paper. Four nature texture images are used to test the performance of the novel lacunarity measure. Comparisons with published methods show that the proposed method can efficiently describe texture images, and provide accurate classification results. Real synthetic aperture radar (SAR) images analyses are found to have different lacunarity values for different regions. We show that good result can be obtained with appropriate lacunarity parameters applied to SAR images segmentation.||Source Title:||IEEE Transactions on Geoscience and Remote Sensing||URI:||http://scholarbank.nus.edu.sg/handle/10635/54618||ISSN:||01962892||DOI:||10.1109/TGRS.2002.807001|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 17, 2020
WEB OF SCIENCETM
checked on Jan 10, 2020
checked on Dec 30, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.