transform operator
2.Therefore one of the most common problems encountered in gravity data studies is how to separate each anomaly. The wavelet transform operator has recently been introduced in the domain of potential fields both as a filtering and as a source-analysis tool. Here we study the ability of improving resolution gravity anomaly based on wavelet analysis and power spectrum analysis.
4.Three algorithms of detecting dim target in infrared image with low signal-to-noise ratio according to the differences among dim target, background interference and noise are studied: wavelet transform, mathematical morphology, Top—hat operator. Processed images and corresponding data are also given respectively.

