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- Title
SAR image despeckling using quadratic–linear approximated ℓ<sub>1</sub>-norm.
- Authors
Nar, Fatih
- Abstract
Speckle noise, inherent in synthetic aperture radar (SAR) images, degrades the performance of the various SAR image analysis tasks. Thus, speckle noise reduction is a critical preprocessing step for smoothing homogeneous regions while preserving details. This Letter proposes a variational despeckling approach where ℓ1-norm total variation regularisation term is approximated in a quadratic and linear manner to increase accuracy while decreasing the computation time. Despeckling performance and computational efficiency of the proposed method are shown using synthetic and real-world SAR images.
- Subjects
IMAGE quality in synthetic aperture radar; IMAGE analysis; SPECKLE interference; QUADRATIC equations; LINEAR statistical models
- Publication
Electronics Letters (Wiley-Blackwell), 2018, Vol 54, Issue 6, p387
- ISSN
0013-5194
- Publication type
Article
- DOI
10.1049/el.2017.3873