紅外圖像的目標(biāo)檢測(cè)研究

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摘要：紅外搜索與跟蹤系統(tǒng)被廣泛應(yīng)用于現(xiàn)代國(guó)防中針對(duì)遠(yuǎn)距離目標(biāo)的檢測(cè)、跟蹤及預(yù)警。但是，該統(tǒng)檢測(cè)的目標(biāo)一般為尺寸較小且模糊的點(diǎn)狀結(jié)構(gòu)通常難以辨別，一種基于圖像中目標(biāo)與背景局部結(jié)構(gòu)的差異性，采用NRAM模型實(shí)現(xiàn)的方法可以對(duì)單幀紅外圖像中的小目標(biāo)進(jìn)行有效檢測(cè)。

關(guān)鍵詞：紅外小目標(biāo)檢測(cè)；NRAM模型；稀疏性；低秩性

doi：10.3969/J.ISSN.1672-7274.2024.01.012

中圖分類號(hào)：TN 215            文獻(xiàn)標(biāo)志碼：A            文章編碼：1672-7274（2024）01-00-04

Research on Target Detection of Infrared Image

YU Zhiqi

（The University of Hong Kong， Hong Kong 999077， China）

Abstract： Infrared search and tracking system is widely used in modern national defense for long-range target detection， tracking and early warning. However， the target detected by the system is generally a small and blurred dot structure， which is usually difficult to identify. A method based on the difference between the local structure of the target and the background in the image，which is implemented by the NRAM model， can effectively detect small targets in a single frame infrared image.

Key words： infrared small target detection; NRAM model; sparsity; low-rank

1   研究背景

紅外搜索與跟蹤系統(tǒng)被廣泛應(yīng)用于針對(duì)飛機(jī)、船舶等遠(yuǎn)距離目標(biāo)的檢測(cè)、跟蹤及預(yù)警。（剩余5457字）