本文選題：目標檢測 + 弱小目標��； 參考：《紅外技術(shù)》2017年10期

【摘要】：魯棒有效的弱小目標檢測算法是光電跟蹤系統(tǒng)成功的關(guān)鍵。本文針對空中遠距離紅外弱小目標檢測的實際問題,在人類視覺對比機制基礎(chǔ)上提出了一種檢測率高、誤報率低、處理時間短的紅外小目標檢測方法。首先,利用基于恒虛警率的Top-hat濾波和自適應(yīng)閾值操作對原始圖像進行預(yù)處理,得到疑似目標區(qū)域,該步驟可大大減少計算時間,同時保持恒定的虛警概率和可預(yù)測的檢測概率;然后,定義了一種新穎有效的局部對比度測量算子,并引入圖像局部的自相似性計算局部顯著圖,該過程不僅可以增強圖像目標的視覺顯著性,同時還可以抑制噪聲,提高區(qū)域目標的信噪比;最后,在顯著圖基礎(chǔ)上,利用簡單的閾值操作就可以獲得真實目標。定性定量實驗結(jié)果表明,本文提出的方法與4種現(xiàn)有檢測算法相比,具有更高的檢測率、更低的虛警率和更少的檢測時間,是復(fù)雜背景下紅外弱小目標檢測的有效方法。
[Abstract]:Robust and effective small target detection algorithm is the key to the success of photoelectric tracking system. Aiming at the practical problem of detecting small infrared small targets in the air, a detection method of small infrared targets with high detection rate, low false alarm rate and short processing time is proposed based on the human visual contrast mechanism. Firstly, the original image is preprocessed by using Top-hat filter based on constant false alarm rate and adaptive threshold operation, and the suspected target area is obtained. This step can greatly reduce the computation time and maintain constant false alarm probability and predictable detection probability at the same time. Then, a novel and effective local contrast measurement operator is defined, and local saliency is calculated by introducing local self-similarity. This process can not only enhance the visual significance of the image object, but also suppress the noise. The signal-to-noise ratio (SNR) of the regional target is improved. Finally, the real target can be obtained by using a simple threshold operation based on the salient map. The qualitative and quantitative experimental results show that the proposed method has higher detection rate, lower false alarm rate and less detection time than the four existing detection algorithms. It is an effective method for detecting small and weak infrared targets in complex background.
【作者單位】： 臺州職業(yè)技術(shù)學(xué)院機電工程學(xué)院;西安交通大學(xué)電子與信息工程學(xué)院;
【基金】：民航聯(lián)合研究基金(U13331017) 浙江省科技廳基礎(chǔ)研究項目(016C21045) 高等學(xué)校訪問學(xué)者專業(yè)發(fā)展項目(FX2012121)
【分類號】：TN219;TP391.41

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