A despeckling algorithm for synthetic aperture radar images using region subdivision

No Thumbnail Available
File version
Author(s)
Zhu, L
Shui, P
Zhang, W
Zhou, Z
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2012
Size
File type(s)
Location
License
Abstract

A new despeckling algorithm based on region subdivision (DABRS) is presented to effectively preserve edge characteristics and to improve the performance of reducing multiplicative speckle noise in synthetic aperture radar (SAR). Gaussian-Gamma-shaped bi-windows with different orientations are used to obtain the edge strength map (ESM) by ratio operations. Then, the threshold-processing ESM is used to divide a SAR image into different regions. Two improved filters, the Kuan filter with variable-size windows and the Sigma filter, are used to reduce speckle in homogeneous and edge regions, respectively. Iteration filtering strategy is adopted by the two improved filters to smooth speckle better, and the window size of improved Kuan filter increases with iteration progressing. Experimental results and comparisons with most existing despeckling algorithms show that the DABRS has advantages in the speckle suppression and edge preservation, improves the equivalent number of looks by more than 30%, increases the edge keep index by more than 8%, and has more smooth visual effects in the homogeneous regions of despeckling images.

Journal Title

Journal of Xi'an Jiaotong University (Xi'an Jiaotong Daxue Xuebao)

Conference Title
Book Title
Edition
Volume

46

Issue

10

Thesis Type
Degree Program
School
DOI
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject
Persistent link to this record
Citation

Zhu, L; Shui, P; Zhang, W; Zhou, Z, A despeckling algorithm for synthetic aperture radar images using region subdivision, Journal of Xi'an Jiaotong University (Xi'an Jiaotong Daxue Xuebao), 2012, 46 (10), pp. 83-88

Collections