Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72461
Title: Adaptive filtering algorithms for SAR speckle reduction
Authors: Lu, Y.H. 
Tan, S.Y.
Yeo, T.S. 
Ng, W.E. 
Lim, I.
Zhang, C.B. 
Issue Date: 1996
Source: Lu, Y.H.,Tan, S.Y.,Yeo, T.S.,Ng, W.E.,Lim, I.,Zhang, C.B. (1996). Adaptive filtering algorithms for SAR speckle reduction. International Geoscience and Remote Sensing Symposium (IGARSS) 1 : 67-69. ScholarBank@NUS Repository.
Abstract: Speckle noise in synthetic aperture radar (SAR) images reduces target feature detection. Two of the better known post-processing speckle suppression filters are the Lee (1986) and Kuan filter (1987). In this paper, we present modifications that have been made to the Lee and Kuan filters, such that there is an improvement in speckle suppression in regions of large back-scattering variations. Improvement over the original algorithms are illustrated using SEASAT images of Flevoland (Netherlands). Quantitative measures of performance for various types simulated terrain will also be presented.
Source Title: International Geoscience and Remote Sensing Symposium (IGARSS)
URI: http://scholarbank.nus.edu.sg/handle/10635/72461
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

21
checked on Dec 9, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.