2013
DOI: 10.1049/el.2012.3160
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Combination of Target Detection and Block‐matching 3D Filter for Despeckling SAR Images

Abstract: This Letter proposes a combination of target detection and blockmatching 3D filter for despeckling SAR images. The proposed method is able to effectively preserve targets, such as the edges and dots of synthetic aperture radar (SAR) images, whilst removing noises. In the first step of our proposed method, based on despekling results of bilateral filtering and edge detection of a canny operator, some targets are detected and removed from an SAR image. The second step uses BM3D for denoising the targets-removed … Show more

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Cited by 6 publications
(1 citation statement)
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“…Despeckling SAR data by applying a filter can remove noise and retain image features, although it may also result in blurring or filtered images, which affects the accuracy of AGB retrieval and image classification. Nonlocal filters for reducing noise in SAR images [168][169][170][171] should be performed cautiously in order to solve the limitations of speckles in future studies.…”
Section: Limitations and Uncertainties In Mangrove Remote Sensingmentioning
confidence: 99%
“…Despeckling SAR data by applying a filter can remove noise and retain image features, although it may also result in blurring or filtered images, which affects the accuracy of AGB retrieval and image classification. Nonlocal filters for reducing noise in SAR images [168][169][170][171] should be performed cautiously in order to solve the limitations of speckles in future studies.…”
Section: Limitations and Uncertainties In Mangrove Remote Sensingmentioning
confidence: 99%