为解决海空复杂背景下红外弱点目标的检测，提出了基于小波变换模极大的检测算法。
The new algorithm based on wavelet transform modulus maxima was presented to resolve the problem of weak infrared point targets detection under the complicated background of sea and sky.
为解决强杂波中红外弱点目标的检测问题，提出了基于小波变换模极值及其位相值的双特征检测算法。
Two features detection algorithm based on the wavelet transform modulus maxima and its phase angle is presented, to resolve the problem of weak infrared point targets detection.
通过对信号与噪声奇异性的分析，得出信号与噪声的小波变换模极大值在各个尺度上的表现截然相反的结论。
The singularities of signals and noises are investigated. A conclusion is drawn that the wavelet modulus maxima of signals have contrary behaviors from that of noises.
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