低信噪比条件下点目标的检测性能在很大程度上依赖于对红外背景杂波的抑制情况。

The effective detection for point target in low SNR IR images is dependent greatly on the suppression of background clutter.

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实验结果表明，该方法能有效检测和分割出低信噪比复杂自然背景红外图像中的目标。

The experimental results show that the method can effectively detect and segment the target in a low SNR infrared image with the complicated nature background.

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针对红外搜索跟踪系统对复杂云层背景条件下红外弱小目标检测问题，提出了一种低虚警率的弱小目标稳健检测算法。

For the infrared dim small target detection in complex cloud background of IRST, a robust algorithm of low false alarm is proposed.

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