【摘要】：合成孔徑雷達(synthetic aperture radar, SAR)相較于傳統(tǒng)的遙感探測方法具有全天時全天候的優(yōu)點，廣泛應用于軍用和民用領域。目標輪廓表征了目標形狀，可用于目標方位角估計、自動目標識別等，因此SAR圖像目標輪廓提取任務受到了人們的廣泛關注。受SAR圖像相干斑噪聲的影響，傳統(tǒng)的目標輪廓提取方法應用在SAR圖像時失效。為此，本文以活動輪廓模型為基礎，充分考慮SAR圖像中相干斑噪聲的影響，研究SAR圖像目標輪廓提取的方法。 本文首先對SAR圖像數據特性進行了分析，在此基礎上介紹了目前經典的SAR圖像目標輪廓提取方法，，并通過實驗證明了經典方法的缺點。 其次，結合SAR圖像特點，對活動輪廓模型進行改造，基于向量場卷積模型與區(qū)域競爭模型進行結合的思路和基于分割后圖像具有最大對比度的思路，提出了兩種適用于SAR圖像的目標輪廓提取方法。 再次，對活動輪廓模型初始輪廓的設置進行了研究，提出了適用于SAR圖像目標輪廓提取的初始輪廓自動選取方法。 最后，基于仿真和實測SAR圖像數據，對本文所研究的方法進行了驗證。實驗結果顯示，本文所研究的兩種目標輪廓提取方法能對SAR圖像中目標輪廓進行準確、快速的提取，性能上明顯優(yōu)于現(xiàn)有的經典方法；本文研究的初始輪廓自動選取方法能顯著減少活動輪廓模型的迭代次數，是一種有效的初始輪廓選取方法。
[Abstract]:The synthetic aperture radar (SAR) phase has the advantages of all-weather, and is widely used in military and civil fields. The target profile is characterized by the target shape, can be used for target azimuth estimation, automatic target recognition and the like, so that the target contour extraction task of the SAR image is widely concerned by the people. Due to the influence of the speckle noise of the SAR image, the traditional target contour extraction method is applied to the SAR image. This paper, based on the active contour model, takes full consideration of the influence of the speckle noise in the SAR image, and studies the method of the SAR image target profile extraction. In this paper, the characteristics of SAR image data are analyzed. On the basis of this, the method of extracting the target contour of SAR image is introduced, and the shortage of the classical method is proved by the experiment. Secondly, combining with the characteristics of SAR image, the active contour model is modified, and based on the combination of the vector field convolution model and the regional competition model and the idea of the maximum contrast based on the divided image, two target profiles suitable for the SAR image are proposed. In this paper, the initial contour of the active contour model is studied, and the initial contour from the target profile of the SAR image is proposed. The dynamic selection method is based on the simulation and the measured SAR image data. The results show that the two target contour extraction methods can be used for accurate and rapid extraction of the target profile in the SAR image, and the performance is obviously superior to that of the target contour. In this paper, the initial contour auto-selection method can significantly reduce the number of iterations of the active contour model, which is an effective method.
【學位授予單位】：南京航空航天大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN957.52

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