本文選題：SAR圖像 + 去噪　； 參考：《合肥工業(yè)大學(xué)》2014年碩士論文

【摘要】：合成孔徑雷達(dá)(SAR, Synthetic Aperture Rader)是一種高分辨率成像雷達(dá),具有全天時(shí)、全天候的偵查特點(diǎn),在民用和軍事領(lǐng)域都有著廣闊的發(fā)展前景和實(shí)用價(jià)值,SAR圖像處理技術(shù)也成為國(guó)內(nèi)外的研究熱點(diǎn)。因此,對(duì)SAR圖像處理技術(shù)進(jìn)行研究具有重要的理論和實(shí)際意義。本文主要對(duì)SAR圖像目標(biāo)識(shí)別系統(tǒng)中幾個(gè)重要問題進(jìn)行了研究,主要工作如下：(1)研究了SAR圖像的相關(guān)去噪算法,并提出了一種增強(qiáng)型Shearlet域SAR圖像去噪算法,實(shí)驗(yàn)結(jié)果驗(yàn)證了該算法在去噪的同時(shí)能夠很好的保持圖像的邊緣細(xì)節(jié)信息。(2)研究了SAR圖像分割算法,運(yùn)用改進(jìn)型PCNN網(wǎng)絡(luò)模型實(shí)現(xiàn)高分辨率SAR圖像分割,實(shí)驗(yàn)表明,該方法取得了有效的分割,并且在運(yùn)算時(shí)間少的同時(shí)取得了很好地分割結(jié)果。(3)分析了SAR圖像上一般目標(biāo)的特征并分析了道路的特征模型,提出了一種SAR圖像道路目標(biāo)識(shí)別的方法,實(shí)驗(yàn)結(jié)果表明,本文方法能夠有效的檢測(cè)出道路邊緣,實(shí)現(xiàn)道路目標(biāo)的識(shí)別。
[Abstract]:Synthetic Aperture radar (SAR) is a kind of high-resolution imaging radar, which has the characteristics of all-day, all-weather investigation. The SAR image processing technology has become a hot research field at home and abroad, which has a broad development prospect and practical value in both civil and military fields. Therefore, the research of SAR image processing technology has important theoretical and practical significance. In this paper, several important problems in SAR image target recognition system are studied. The main work is as follows: 1) the correlation denoising algorithm of SAR image is studied, and an enhanced Shearlet domain SAR image denoising algorithm is proposed. The experimental results show that the proposed algorithm can keep the edge detail information of the image well while de-noising. (2) the SAR image segmentation algorithm is studied, and the improved PCNN network model is used to realize the high resolution SAR image segmentation. The experimental results show that the proposed algorithm can be used in SAR image segmentation. This method has achieved effective segmentation, and achieved a good segmentation result at the same time of less computation time.) the features of general targets in SAR images are analyzed and the road feature model is analyzed. A road target recognition method based on SAR images is proposed. The experimental results show that the proposed method can effectively detect road edges and realize road target recognition.
【學(xué)位授予單位】：合肥工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN957.52

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 景曉軍,蔡安妮,孫景鰲;一種基于二維最大類間方差的圖像分割算法[J];通信學(xué)報(bào);2001年04期

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本文編號(hào)：2012906