利用窄波段像素色比的红外弱小目标检测方法

doi:10.3969/j.issn.1001-2400.2014.04.011

Abstract

Abstract:

The aim of this paper is to solve the target detection after the background suppression in infrared small target detection. A method based on the color ratio of different narrow wavebands is proposed to fuse the residual images. There are four main procedures in the whole detection: first, the background for residual images is suppressed; second, the fused residual images with improved SNR are obtained by color ratio calculation; third, the concentrated target energy in the images is obtained by employing the target volume detection method bringing a higher SNR of the image; finally, threshold segmentation would find the targets more precisely compared with traditional segmentation. The proposed method has advantages of being unacted on the clutter and reducing the false alarm rate.

Key words: small target detection, narrow waveband, color ratio, volume detection, threshold segmentation

CLC Number:

TN215

LIN Tao;HAN Pingli;LIU Fei. Small target detection utilizing the narrow wavebands[J].J4, 2014, 41(4): 58-63+157.

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Small target detection utilizing the narrow wavebands

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