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篇名 |
Improved Fisher MAP Filter for Despeckling of High-Resolution SAR Images Based on Structural Information Detection
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並列篇名 | Improved Fisher MAP Filter for Despeckling of High-Resolution SAR Images Based on Structural Information Detection |
作者 | Wei Wei、Zeng-Guo Sun、Zhi-Hua Zhang、Rafal Scherer、Robertas Damaševičius |
英文摘要 | Fisher distribution is a popular model for highresolution (HR) synthetic aperture radar (SAR) images due to its high-peaked and heavy-tailed characteristics as well as its theoretical justification and mathematical tractability. Based on the Fisher modeling of SAR images, the maximum a posteriori (MAP) filter is suggested. In the Fisher model, the parameter of image looks is thought to be fixed to correspond to the formation mechanism of multi-look intensity images, and the other two parameters are accur ately assessed from the SAR image based on second-kind statistics. To improve the Fisher MAP filter especially in the aspect of speckle suppression, the Fisher MAP filter based on recognition of structural information is created using point target detection, the adaptive windowing method, homogeneous region detection, and selection of most homogeneous sub-window. The experiments on despeckling of HR SAR images demonstrate that the improved Fisher MAP filter based on structural information detection can suppress speckle in homogenous and edge regions, and effectively preserve fine details, edges, and point targets. |
起訖頁 | 413-421 |
關鍵詞 | Fisher filter、High-resolution synthetic aperture radar image、Structural information detection、Second-kind statistics |
刊名 | 網際網路技術學刊 |
期數 | 202103 (22:2期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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