結(jié)構(gòu)保持的雙邊濾波極化SAR圖像降噪
doi: 10.11999/JEIT140199
基金項(xiàng)目:
國家自然科學(xué)基金(61371154, 41076120, 61271381, 61102154)，光電控制技術(shù)重點(diǎn)實(shí)驗(yàn)室和航空科學(xué)基金聯(lián)合資助項(xiàng)目(201301P4007)和中央高?；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)(2012HGCX0001)資助課題
Speckle Reduction for PolSAR Image Based on Structure Preserving Bilateral Filtering
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摘要: 針對極化合成孔徑雷達(dá)(Polarimetric Synthetic Aperture Radar, PolSAR)圖像相干斑抑制時(shí)結(jié)構(gòu)保持的難題，該文提出一種PolSAR圖像的雙邊濾波算法：結(jié)構(gòu)保持的雙邊濾波(SPBF)。該算法通過結(jié)合邊緣結(jié)構(gòu)特征和地物散射特性，增強(qiáng)對PolSAR圖像結(jié)構(gòu)信息的描述，減少濾波時(shí)圖像結(jié)構(gòu)信息的損失，實(shí)現(xiàn)濾波性能的提高。該算法首先使用邊緣檢測模板在極化總功率圖像(Span)上提取邊緣方向，實(shí)現(xiàn)自適應(yīng)選擇濾波方向窗；其次，采用Freeman-Durden分解獲取像素的散射機(jī)制，并根據(jù)極化數(shù)據(jù)的統(tǒng)計(jì)分布特性獲取地物散射的聚類標(biāo)記；最終在所選的方向窗中，以聚類標(biāo)記圖為掩膜，利用改進(jìn)的雙邊濾波算法對PolSAR數(shù)據(jù)進(jìn)行相干斑抑制。真實(shí)SAR數(shù)據(jù)的實(shí)驗(yàn)結(jié)果表明，該方法能夠有效抑制相干斑噪聲，同時(shí)提高了對圖像的邊緣、強(qiáng)點(diǎn)目標(biāo)和極化散射特性的保持能力。
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關(guān)鍵詞:
- 極化SAR /
- 相干斑 /
- 雙邊濾波 /
- 散射機(jī)制 /
- 結(jié)構(gòu)保持
Abstract: A Structure Preserving Bilateral Filtering (SPBF) is proposed to address the problem of preserving structural information for reducing speckle in a PolSAR image. The edge structural characteristics and surface scattering features are adopted to measure structural information in PolSAR image, which can reduce loss of structure and improve filtering performance. To begin with, the edge direction is determined by edge templates, and then an adaptive direction window is selected in span image. Furthermore, each scattering mechanism of the pixel is obtained by Freeman-Durden decomposition. And then surface scattering map is obtained by statistical distribution characteristics of polarimetric data. Finally, the filtering mask, which combines the cluster map with adapted direction window, is introduced into an improved bilateral filtering. The experimental results of real SAR images show that the proposed method can efficiently reduce speckle, and further preserve image edge, the strong point target and polarimetric scattering characteristics.-
Key words:
- Polarimetric SAR /
- Speckle /
- Bilateral filtering /
- Scattering mechanism /
- Structure preserving
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