Guidance-Aided Triple-Adaptive Frost Filter for Speckle Suppression in the Synthetic Aperture Radar Image

Li, Jiamu; Yu, Wenbo; Wang, Yi; Wang, Zijian; Xiao, Jiangjian; Yu, Zhongjun; Stankovic, John A.

doi:10.3390/rs15030551

Cited by 4 publications

(3 citation statements)

References 29 publications

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“…In our previous work [18] , a fully size-adaptive sliding window method is proposed to obtain the accurate statistical characteristic for any SAR image application requiring statistics. And the outstanding performance of this method is verified in the SAR image edge detection and speckle suppression [19] . For detail, the size-adaptive sliding window needs to scan the image to be processed first.…”

Section: The Proposed Speckle-robust Feature Mapmentioning

confidence: 80%

A novel speckle-robust feature map and research on rotation invariance of feature maps in the SAR image

Li,

Wang,

et al. 2023

Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023)

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The feature map is often used for describing the characteristics of key points in image registration applications. Due to feature information being sensitive to rotation and noise, the values of calculation methods for various feature maps would change in different rotation or noise conditions. Consequently, it is unfavorable to obtain the stable descriptor for the same feature point in different images. Specifically, speckle noise damages the synthetic aperture radar (SAR) image seriously, which makes SAR image registration more difficult. In this paper, a novel feature map, which is robust to speckle noise, is proposed. A fully size-adaptive sliding window method is embedded into the ratio of exponentially weighted average method for its noise robustness improvement. Then, a series of Monte Carlo experiments compare the rotation and speckle stabilities among various feature map methods comprehensively. The experimental results reflect that the proposed feature map method is stable while speckle noise increases, and it has less mean orientation difference than others. Moreover, the data of experimental results can be used to support many other analyses on feature maps.

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Section: The Proposed Speckle-robust Feature Mapmentioning

confidence: 80%

A novel speckle-robust feature map and research on rotation invariance of feature maps in the SAR image

Li,

Wang,

et al. 2023

Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023)

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“…To solve the problem of SAR image de-speckling, various algorithms are proposed. At present, the mainstream SAR image denoising methods can be divided into three categories: the first category is denoising using spatial domain filters, such as the Lee filter [1,2] and the Frost filter [3]. The second is to de-speckle with transform domain filtering methods, such as the wavelet soft thresholding method [10] and so on.…”

Section: Introductionmentioning

confidence: 99%

A novel Lee filtering algorithm based on adaptive size sliding window

Zhao,

Liu,

Wang

et al. 2024

Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023)

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Lots of speckle noise exists in synthetic aperture radar (SAR) images inherently. The speckle noise causes various difficulties in the subsequent SAR image processing. In this paper, a novel Lee filtering algorithm based on an adaptive size sliding window is proposed. The adaptive sliding window makes the local statistics acquired from the image more accurate, which improves the performance of proposed algorithm on the edge protection and noise filtering. In this paper, a series of comparative experiments for speckle suppression is conducted on both optical simulation images and SAR images. The experimental results show that the performance of the proposed improved Lee filter to suppress speckle noise is better than the traditional Lee filtering algorithm while more details are preserved.

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“…This kind of algorithm has a long development cycle, and many classic and mature algorithms have been proposed, such as the Lee filter [2], Kuan filter [3], Frost filter [4], total variation filter [5], the rolling guidance filter and other local statistical adaptations based on the least mean square error estimation method. In recent advancements, significant enhancements have been made to these filters, including the implementation of a sophisticated triple‐adaptive Frost filter [6]. This filter utilizes scale‐adaptive sliding windows to provide refined image processing capabilities.…”

Section: Introductionmentioning

confidence: 99%

Research on SAR image denoising method based on feature extraction

Wei,

Ma,

et al. 2024

Electronics Letters

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Due to the excellent characteristics of Synthetic Aperture Radar (SAR), it has become an important technical means for land and sea target detection applications worldwide. However, the SAR image imaging process is often accompanied by speckle noise, which affects the accuracy of target detection. For this problem, this paper proposes an SAR image reconstruction model based on image denoising and feature extraction. Given a noisy SAR image, at each pixel of the image, the value of the singularity index of a metric defined by the signal gradient norm density is calculated. Then through a hierarchical decomposition of these singular indices, a set of pixels containing the most informative feature set of the image is extracted, and a denoised image is reconstructed using the extracted features. In comparison to traditional filtering and denoising techniques such as non‐local filtering, this algorithm achieves remarkable local filtering and denoising effects while preserving the image's texture information. The denoising performance of the proposed method is evaluated through a series of quantitative indicators and visual comparisons. The results demonstrate that this method effectively reduces background clutter, resulting in a higher contrast between the target and the background.

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Guidance-Aided Triple-Adaptive Frost Filter for Speckle Suppression in the Synthetic Aperture Radar Image

Cited by 4 publications

References 29 publications

A novel speckle-robust feature map and research on rotation invariance of feature maps in the SAR image

A novel speckle-robust feature map and research on rotation invariance of feature maps in the SAR image

A novel Lee filtering algorithm based on adaptive size sliding window

Research on SAR image denoising method based on feature extraction

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