本文選題：合成孔徑雷達影像　切入點：斑點噪聲　出處：《西安電子科技大學(xué)學(xué)報》2017年05期

【摘要】：合成孔徑雷達成像過程中產(chǎn)生的固有隨機相干斑噪聲嚴重影響圖像質(zhì)量,因此對相干斑噪聲的抑制研究具有重要意義.針對傳統(tǒng)相干斑噪聲的抑制方法不能兼顧去除斑點噪聲和保護圖像紋理信息的問題,筆者提出一種柔性形態(tài)學(xué)參數(shù)對稱對數(shù)圖像處理新算法.該算法結(jié)合柔性形態(tài)學(xué)順序統(tǒng)計量的靈活性與參數(shù)對稱的對數(shù)圖像處理模型自適應(yīng)處理圖像負值部分的特性,抑制合成孔徑雷達影像斑點噪聲,并且能夠較好地保護圖像紋理及細節(jié)信息.為驗證新算法的去噪性能,將其與已有的一些濾波算法的濾波效果比較,并利用抑斑圖像質(zhì)量評價指標,評價新算法濾波性能.實驗結(jié)果表明,該算法在抑制斑點噪聲的同時很好地保留了圖像細節(jié)信息,且其濾波效果優(yōu)于現(xiàn)有的合成孔徑雷達影像斑點噪聲抑制算法.
[Abstract]:The inherent random speckle noise produced in synthetic Aperture Radar (SAR) imaging seriously affects the image quality, so it is of great significance to study the suppression of speckle noise.Aiming at the problem that the traditional method of speckle noise suppression can not be used to remove speckle noise and protect the texture information of image, a new algorithm of symmetrical logarithmic image processing with flexible morphological parameters is proposed in this paper.This algorithm combines the flexibility of flexible morphological sequence statistics and the characteristic of logarithmic image processing model with parameter symmetry to adaptively process the negative part of the image to suppress the speckle noise of synthetic aperture radar (SAR) images.And can better protect the image texture and detail information.In order to verify the denoising performance of the new algorithm, the filtering performance of the new algorithm is compared with that of some existing filtering algorithms, and the filtering performance of the new algorithm is evaluated by using the quality evaluation index of the speckle suppression image.The experimental results show that the algorithm not only can suppress speckle noise but also retain the image detail information, and its filtering effect is better than that of the existing SAR image speckle suppression algorithm.
【作者單位】： 西安電子科技大學(xué)通信工程學(xué)院;
【基金】：國家自然科學(xué)基金資助項目(61173088) 西安市高技術(shù)創(chuàng)新資助項目(CX1248(5)) 高等學(xué)校學(xué)科創(chuàng)新引智計劃(“111計劃”)資助項目(B08038)
【分類號】：TN957.52

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本文編號：1726843