空域红外图像的背景噪声分析及预处理

The Analysis and Preprocessing of Background Noise on Aerial Infrared Image

文中就如何提高空域背景下弱小目标的信噪比问题展开讨论,基于对背景噪声的统计分析提出了自适应滤波和小波分析两种图像预处理算法,达到抑制背景噪声,增强小目标的目的,并将二者进行了性能分析。

The main task of this dissertation aims at how to improve the SNR of weak target from aerial infrared image. The image background noise is analyzed,and the methods of self-adaptive filter and wavelet transform on image preprocessing are introduced. These methods eliminate the background noise and enhance the small targets. Then their performances are discussed.