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- Title
Polarimetric SAR image despeckling using bandelet transform based on additive--multiplicative speckle model.
- Authors
Roy, T.; Sethunadh, R.; Ameer, P. M.
- Abstract
Efficient speckle filtering algorithms are required for the effective use of polarimetric synthetic aperture radar (SAR) technology in remote sensing and surveillance applications. Nevertheless many techniques have been proposed over the past two decades to decrease the speckle noise in polarimetric SAR images, they are all based on the multiplicative speckle noise model. In order to fully utilise the advantages of polarimetry of these images, an additive--multiplicative noise model is explored. Coupled with this, bandelet based Bayesian thresholding is used to tap the advantages of transform domain filtering. Here the elements of the covariance matrix are processed differently for diagonal and off-diagonal elements to achieve maximum benefits. The proposed filtering scheme is evaluated using airborne and spaceborne polarimetric images and compared against state-of- the-art techniques. Results indicate that the proposed method reduces the speckle content while retaining the geometrical features in these images.
- Subjects
POLARIMETRY; SPECKLE interference; SYNTHETIC aperture radar; COVARIANCE matrices; REMOTE sensing
- Publication
Electronics Letters (Wiley-Blackwell), 2020, Vol 56, Issue 6, p293
- ISSN
0013-5194
- Publication type
Article
- DOI
10.1049/el.2019.2983