基于小波变换的弱小目标检测

研究了天空、海面或野外地面背景下运动弱小目标的检测，对图像进行了小波分析，使用小波反变换将背景中低频分量和杂散噪声去除，并采用自适应阈值处理，用最大非零像素数分割方法进行分割，最后经过插值、填充得出检测结果.实验结果表明，该方法能有效地检测和定位弱小目标，并具有较强的抗噪声性.

Small Target Detection Based on Wavelet Transform

This paper studies the small moving target detection in the background of the sky,the ground surface or field.Wavelet analysis and inverted transform to image can remove the low-frequency components and speckle noise.We can obtain good results by adopting adaptive thresholding and using the maximum non-zero pixels segmentation,interpolation and region filling. Experimental results show that this method can effectively detect and locate small target and has high anti-noise performance.