Yahya, N. and Kamel, N.S. and Malik, A.S. (2014) Subspace-based technique for speckle noise reduction in SAR images. IEEE Transactions on Geoscience and Remote Sensing, 52 (10). pp. 6257-6271. ISSN 01962892
Full text not available from this repository.Abstract
Image-subspace-based approach for speckle noise removal from synthetic aperture radar (SAR) images is proposed. The underlying principle is to apply homomorphic framework in order to convert multiplicative speckle noise into additive and then to decompose the vector space of the noisy image into signal and noise subspaces. Enhancement is performed by nulling the noise subspace and estimating the clean image from the remaining signal subspace. Linear estimator minimizing image distortion while maintaining the residual noise energy below some given threshold is used to estimate the clean image. Experiments are carried out using synthetically generated data set with controlled statistics and real SAR image of Selangor area in Malaysia. The performance of the proposed technique is compared with Lee and homomorphic wavelet in terms of noise variance reduction and preservation of radiometric edges. The results indicate moderate noise reduction by the proposed filter in comparison to Lee but with a significantly less blurry effect and a comparable performance in terms of noise reduction to wavelet but with less artifacts. The results also show better preservation of edges, texture, and point targets by the proposed filter than both Lee and wavelet and less required computational time. © 2014 IEEE.
Item Type: | Article |
---|---|
Additional Information: | cited By 36 |
Uncontrolled Keywords: | Image denoising; Noise abatement; Principal component analysis; Random processes; Speckle; Speech enhancement, Computational time; Linear estimators; Multiplicative speckle noise; Spatial filters; Speckle noise reduction; Speckle noise removal; Synthetic aperture radar (SAR) images; Underlying principles, Synthetic aperture radar, computer simulation; estimation method; noise; performance assessment; principal component analysis; signal; stochasticity; synthetic aperture radar; wavelet analysis, Malaysia; Selangor; West Malaysia |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 16:17 |
Last Modified: | 09 Nov 2023 16:17 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/5322 |