基于小波变换方法的红外动目标检测

Infrared Target Detection Based on Wavelet Transform

红外目标的成像跟踪是一种新的制导技术，它是以人工智能、图像识别、计算机技术和高分辨率传感技术为基础的。图像识别，或称为目标识别的关键是目标边缘的准确提取即目标检测。本文介绍一种基于小波变换方法的目标检测。小波分析技术近几年来取得了突破性进展，它可以把信号分解成基本的建筑块，对不同频率成分的时域取样步长可调，是一种多尺度描述信号的方法，在空域和频域都便于定位，因此小波变换可以表征信号的局部奇异性。

infrared target tracking is a new technology in controling and guiding missile. It is based on artificial intellgence. image recognition. Computer and high resolution sensor. For image recognition,or target recognition,the edge detection is the main problem. In this paper we study target detection method based on wavelet. Wavelet transform decompose a signal into basic block. It can present the signal in multiscale and have a good definition both in space domain and in frequence domain. So that,wavelet transform can present the singularity of the singnal in local part..