电子与信息学报
電子與信息學報
전자여신식학보
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY
2014年
1期
220-227
,共8页
合成孔径雷达图像%相干斑%迭代方向滤波(IDF)%边缘强度映射(ESM)%各向异性高斯核(AGK)
閤成孔徑雷達圖像%相榦斑%迭代方嚮濾波(IDF)%邊緣彊度映射(ESM)%各嚮異性高斯覈(AGK)
합성공경뢰체도상%상간반%질대방향려파(IDF)%변연강도영사(ESM)%각향이성고사핵(AGK)
Synthetic Aperture Radar (SAR) image%Speckle%Iterative Direction Filtering (IDF)%Edge Strength Map (ESM)%Anisotropic Gaussian Kernel (AGK)
为保护SAR图像边缘特征并有效提高对乘性相干斑噪声的抑制性能,该文提出一种基于迭代方向滤波的抑制图像相干斑新算法。该算法先借助高斯-伽马平行窗估计出的比率边缘强度映射(ESM)与方向信息,自适应地控制各向异性高斯核(AGK),生成沿ESM方向分布的具有各向异性支撑区域的局域窗。然后将SAR图像多种局部统计参量联合作为衰减因子,形成与SAR图像区域分布特性相适应的负指数衰减型加权系数,进而将负指数衰减型加权系数与局域窗带方向的各向异性支撑区域结合形成局域加权的方向滤波。最后对SAR图像迭代地进行方向滤波即可实现带边缘保护的相干斑抑制。实验结果表明,与多种抑斑算法相比,该文算法在SAR图像抑斑与边缘保护方面均获得了更好的性能。
為保護SAR圖像邊緣特徵併有效提高對乘性相榦斑譟聲的抑製性能,該文提齣一種基于迭代方嚮濾波的抑製圖像相榦斑新算法。該算法先藉助高斯-伽馬平行窗估計齣的比率邊緣彊度映射(ESM)與方嚮信息,自適應地控製各嚮異性高斯覈(AGK),生成沿ESM方嚮分佈的具有各嚮異性支撐區域的跼域窗。然後將SAR圖像多種跼部統計參量聯閤作為衰減因子,形成與SAR圖像區域分佈特性相適應的負指數衰減型加權繫數,進而將負指數衰減型加權繫數與跼域窗帶方嚮的各嚮異性支撐區域結閤形成跼域加權的方嚮濾波。最後對SAR圖像迭代地進行方嚮濾波即可實現帶邊緣保護的相榦斑抑製。實驗結果錶明,與多種抑斑算法相比,該文算法在SAR圖像抑斑與邊緣保護方麵均穫得瞭更好的性能。
위보호SAR도상변연특정병유효제고대승성상간반조성적억제성능,해문제출일충기우질대방향려파적억제도상상간반신산법。해산법선차조고사-가마평행창고계출적비솔변연강도영사(ESM)여방향신식,자괄응지공제각향이성고사핵(AGK),생성연ESM방향분포적구유각향이성지탱구역적국역창。연후장SAR도상다충국부통계삼량연합작위쇠감인자,형성여SAR도상구역분포특성상괄응적부지수쇠감형가권계수,진이장부지수쇠감형가권계수여국역창대방향적각향이성지탱구역결합형성국역가권적방향려파。최후대SAR도상질대지진행방향려파즉가실현대변연보호적상간반억제。실험결과표명,여다충억반산법상비,해문산법재SAR도상억반여변연보호방면균획득료경호적성능。
In order to preserve the SAR image edge characteristics and improve the suppression performance of multiplicative speckle noise in SAR image, a new despeckling algorithm based on iterative direction filtering is proposed. Firstly, the ratio Edge Strength Map (ESM) and direction information are estimated by Gaussian-Gamma-shaped bi-windows, and anisotropic support domain along the ESM direction is obtained with the ESM and direction information to adaptively control the Anisotropic Gaussian Kernel (AGK) in rectangular local window. Secondly, the decay factor is obtained by combining several local statistics, and the negative-exponential weighting coefficients are produced by the decay factor and are adaptive to the characteristics of regional distribution of SAR image. Thirdly, direction filtering is formed by combining the negative-exponential weighting coefficients and the local window with anisotropic support domain and different directions. Finally, speckle suppression in SAR image with edge protection can be realized by iterative operation of direction filtering. The experimental results show that, compared with most existing despeckling algorithms, the proposed algorithm achieves better performance in the speckle suppression and image edge preservation.