Title :
Nonlocal Means Filter for Polarimetric SAR Data Despeckling Based on Discriminative Similarity Measure
Author :
Ganchao Liu ; Hua Zhong
Author_Institution :
Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ., Xidian Univ., Xian, China
Abstract :
This letter proposed a new nonlocal polarimetric synthetic aperture radar (PolSAR) filter based on discriminative similarity measure (DSM). The DSM, which is implemented in the form of maximum a posteriori (MAP), deals with the speckle and the underlying speckle-free signal of PolSAR data individually. Due to its MAP form, the DSM achieves good balance between the similarity of the speckle and the similarity of the underlying speckle-free signal. And then this balance can lead to excellent performance on both speckle smoothing and detail preservation. Results are shown to demonstrate its competence when compared with the state-of-the-art methods.
Keywords :
polarimetry; synthetic aperture radar; PolSAR filter; PolSAR speckle-free signal; discriminative similarity measure; nonlocal means filter; nonlocal polarimetric synthetic aperture radar filter; polarimetric SAR data despeckling; speckle-free signal; state-of-the-art methods; Covariance matrices; Estimation; Indexes; Remote sensing; Smoothing methods; Speckle; Synthetic aperture radar; Complex Wishart distribution; nonlocal means (NLM) filter; polarimetric synthetic aperture radar (PolSAR); similarity measure;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2013.2271321