基于小波域扩散滤波的弱小目标检测

Dim target detection based on wavelet field diffusion filter

分析了基于小波变换进行弱小目标检测的基本思想,利用小波变换的多尺度多分辨率特性,结合小波变换系数的方向特性和扩散滤波扩散方向的可选择性,提出了基于小波域扩散滤波的弱小目标检测算法。采用该算法对不同尺度、不同方向的小波系数分别进行扩散滤波,取得了较好的效果。仿真试验结果表明:该算法能在Gaussian噪声背景和不均匀背景下实现对对比度为2%的微弱目标的检测。

Basic principles of dim target detection based on the wavelet transform is analyzed.According to the multi-scale and multi-direction in the wavelet coefficients and combining with the selectable diffusion direction characters,a new method is designed to denoise and detect small targets by the diffusion filter in different directions and different scales of wavelet coefficients,respectively.Combined a anisotropic filter,the algorithm is used to a diffusion filtering experiment for wavelet coefficients.Results show that the algorithm can detect the dim target with a contrast of 2%,and has better performance in the detection of dim target,robustness to Gaussian noise and uneven backgrounds.