SAR圖像非線性分布目標檢測方法研究
Non-Linear Distribution Target Detection Method for SAR Images
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摘要: 在一定條件下,遙感圖像上可以觀測到艦船的尾跡或自然界的內(nèi)波現(xiàn)象。目前對艦船尾跡的檢測多集中在線性尾跡的檢測上,該文提出一種基于生理視覺的靜態(tài)邊界輪廓系統(tǒng)和移動窗口形態(tài)濾波非線性分布目標檢測方法,并且轉換成二值圖像后,運用二值形態(tài)濾波對線狀要素進行分類,將非線性特征進行區(qū)分,以便進一步的處理。文中仿真和實際SAR圖像試驗的結果表明該算法是有效的。Abstract: In some condition the present most of the methods are wake of ship or the natural interwave can be observed in remote sensing imagery. In used to detect linear features. This paper puts forward a method, which uses static boundary contour system based on biological vision and image morphological filter based on mathematical morphology to process images. And after conversion into binary image, the non-linear features are classified using binary morphological filter. The effectiveness of this algorithm is demonstrated by the test results of simulating wake images and actual SAR images of ship wakes
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