A SAR images despeckling method based on adaptive bandelet thresholding
- Resource Type
- Conference
- Authors
- Hu Fang-fang; Liu Jin-mang; Zhang Jin-cheng
- Source
- 2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT) E-Health Networking, Digital Ecosystems and Technologies (EDT), 2010 International Conference on. 1:406-408 Apr, 2010
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
Speckle
Noise reduction
Discrete wavelet transforms
Geometry
Sampling methods
Wavelet transforms
Image analysis
Wavelet domain
Lagrangian functions
Ecosystems
Despeckling
Adaptive Bandelet Thresholding
SAR images
- Language
In this paper, we have presented an adaptive bandelets based on Bayesshrink soft-thresholding despeckling method for polarimetric SAR images. Experimental results demonstrate that our algorithm has a good despeckling performance in polarimetric SAR images and typically preserves even the minor edges comparing with wavelet transform. Besides, the quantitative analysis of evaluation parameters is not difficult to find that the algorithm proposed in this paper is the optimal speckle reduction.