基于頻譜殘留變換的紅外遙感圖像艦船目標(biāo)檢測(cè)方法

張志龍; 楊衛(wèi)平; 張焱; 李吉成

doi:10.11999/JEIT141659

基于頻譜殘留變換的紅外遙感圖像艦船目標(biāo)檢測(cè)方法

doi: 10.11999/JEIT141659

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61101185, 61302145)和國(guó)家專項(xiàng)課題(0404040604)資助課題

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- 文章訪問(wèn)數(shù): 1563
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2014-12-16
- 修回日期: 2015-05-18
- 刊出日期: 2015-09-19

Ship Detection in Infrared Remote Sensing Images Based on Spectral Residual Transform

摘要

摘要: 該文提出一種基于頻譜殘留變換的紅外遙感圖像艦船目標(biāo)檢測(cè)方法。該方法首先根據(jù)海洋紅外圖像中自然背景和干擾的特性設(shè)計(jì)頻譜殘留變換的模型參數(shù)；然后對(duì)海洋紅外圖像實(shí)施頻譜殘留變換；最后在變換圖像上進(jìn)行目標(biāo)檢測(cè)。實(shí)驗(yàn)結(jié)果表明：該方法可以有效消除紅外圖像中的大尺度干擾和圖像噪聲，增強(qiáng)圖像中艦船目標(biāo)的信雜比，提高艦船檢測(cè)的準(zhǔn)確性。
- 紅外遙感圖像 /
- 艦船目標(biāo)檢測(cè) /
- 信雜比 /
- 視覺顯著性 /
- 譜殘留模型
Abstract: A ship detection algorithm based on spectral residual transform is presented to detect ship in infrared remote sensing images. Firstly, the model parameters of spectral residual transform are designed according to the prior knowledge of ship and its natural backgrounds. Secondly, the spectral residual transform of sea infrared image is implemented. Thirdly, ship detection is done on the spectral residual transform image. Experimental results reveal that the new detection algorithm can remove large scale image interference and the image noise and improve the SCR of ship image. The detecting probability of the new algorithm is higher than other conventional methods.
- Infrared remote sensing images /
- Ship target detection /
- Signal Clatter Ratio (SCR) /
- Visual saliency /
- Spectral residual model

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參考文獻(xiàn)(21)

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