本文選題：SAR圖像 + 目標(biāo)檢測(cè)　； 參考：《電子科技大學(xué)》2015年碩士論文

【摘要】：合成孔徑雷達(dá)(Synthetic Aperture Radar,SAR)的工作不受時(shí)間和天氣的影響,并且具有很強(qiáng)的透射性,憑借這些優(yōu)勢(shì),它在軍事領(lǐng)域占據(jù)重要地位,軍事作戰(zhàn)提供軍事作戰(zhàn)所需要的偵察和目標(biāo)探測(cè)信息,同時(shí)也普遍應(yīng)用于氣象預(yù)告、地形地貌研究、道路檢測(cè)、災(zāi)情監(jiān)控等民用方面。SAR目標(biāo)檢測(cè)是利用目標(biāo)的灰度、紋理、形狀、邊緣和方向等信息在SAR圖像中確定其位置,將目標(biāo)與背景分離的圖像處理技術(shù)。隨著SAR圖像分辨率不斷提高,目標(biāo)信息呈現(xiàn)爆炸性增長(zhǎng),如何快速有效地對(duì)SAR目標(biāo)進(jìn)行檢測(cè),是目前SAR圖像處理領(lǐng)域研究的熱點(diǎn)問(wèn)題。視覺(jué)注意機(jī)制是指人眼對(duì)外界環(huán)境中的海量信息進(jìn)行篩選處理,并只對(duì)有用信息做出響應(yīng)的信息處理機(jī)制。視覺(jué)注意計(jì)算模型是利用數(shù)學(xué)建模的方法,結(jié)合計(jì)算機(jī)提供的仿真環(huán)境,模擬人眼視覺(jué)感知系統(tǒng)對(duì)信息的處理過(guò)程,在圖像分析處理領(lǐng)域,視覺(jué)注意機(jī)制掀起了研究熱潮。本文將視覺(jué)注意機(jī)制引入到SAR目標(biāo)檢測(cè)領(lǐng)域,論文的主要研究?jī)?nèi)容和創(chuàng)新之處如下:(1)研究了海內(nèi)外較為成熟的視覺(jué)注意計(jì)算模型,并與人類(lèi)視覺(jué)感知系統(tǒng)的工作過(guò)程相結(jié)合,對(duì)應(yīng)用較廣的Itti經(jīng)典模型和Hou譜殘差模型進(jìn)行了詳細(xì)的分析。闡述了兩種處理方式在SAR圖像處理方面的不足。(2)研究了一種適用于SAR圖像的視覺(jué)注意模型。該模型建立在Itti經(jīng)典模型框架的基礎(chǔ)之上,提取能夠表征SAR目標(biāo)的特征,通過(guò)特征整合機(jī)制得到SAR圖像的顯著圖。仿真對(duì)比實(shí)驗(yàn)的結(jié)果表明,由該模型得到的顯著圖中目標(biāo)輪廓形狀清晰,定位準(zhǔn)確,且計(jì)算速度較快。(3)研究了一種基于視覺(jué)顯著性的SAR目標(biāo)快速檢測(cè)新算法。該算法首先利用視覺(jué)注意模型得到輸入圖像的顯著圖,然后結(jié)合SAR目標(biāo)的尺寸信息對(duì)顯著區(qū)域進(jìn)行高斯平滑和篩選,然后經(jīng)過(guò)感興趣區(qū)域(Region of Interest,ROI)矩形補(bǔ)齊和配準(zhǔn)處理,完成對(duì)整幅圖像的目標(biāo)檢測(cè)。該方法解決問(wèn)題的思路較為新穎,結(jié)合了視覺(jué)顯著性,仿真實(shí)驗(yàn)結(jié)果表明與傳統(tǒng)的檢測(cè)算法相比,該算法具有快速準(zhǔn)確的優(yōu)點(diǎn)。
[Abstract]:The work of synthetic Aperture radar (SAR) is not affected by time and weather, and it has strong transmissibility. With these advantages, it plays an important role in the military field. Military operations provide reconnaissance and target detection information needed for military operations. At the same time, they are also widely used in civilian aspects such as weather forecasting, terrain and geomorphology research, road detection, disaster monitoring and other civilian aspects. SAR target detection is based on the grayscale and texture of the target. Shape, edge and direction information in the SAR image to determine the location of the image processing technology to separate the target from the background. With the improvement of the resolution of SAR images and the explosive growth of target information, how to detect SAR targets quickly and effectively is a hot issue in the field of SAR image processing. Visual attention mechanism is an information processing mechanism in which the human eye filters and processes massive information in the external environment and only responds to useful information. Visual attention computing model is to simulate the processing process of human visual perception system by using mathematical modeling method and computer simulation environment. In the field of image analysis and processing, visual attention mechanism has aroused a hot research. In this paper, the visual attention mechanism is introduced into the field of SAR target detection. The main contents and innovations of this paper are as follows: 1) the more mature visual attention computing model at home and abroad is studied and combined with the working process of human visual perception system. The classical Itti model and the Hou spectral residual model are analyzed in detail. The deficiency of two processing methods in SAR image processing is discussed. A visual attention model suitable for SAR image is studied. The model is based on the framework of the classical Itti model and extracts the features that can represent the SAR target. The salient map of the SAR image is obtained by the feature integration mechanism. The simulation results show that the contour of the target is clear, the location is accurate, and the computing speed is faster. (3) A new algorithm for fast detection of SAR targets based on visual saliency is studied. Firstly, the saliency map of the input image is obtained by using visual attention model, then the salient region is smoothed and filtered by Gao Si with the size information of the SAR target, and then the region of interest is patched and registered by rectangle. Complete the target detection of the whole image. The method is novel in solving the problem and combines visual salience. The simulation results show that the algorithm has the advantages of fast and accurate compared with the traditional detection algorithm.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：TN957.52

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本文編號(hào)：1841544