基于小波变换的弱小目标检测

Small Target Detection Based on Wavelet Transform

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.

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.