基于多尺度背景纹理分析的红外小目标检测

Multi Scale Background Texture Analysis Based on Small Target Detection in Infrared Image

提出了一种基于多尺度背景纹理分析的目标检测方法．通过小波多尺度分解来提取背景纹理的能量特征，并计算这些特征向量与中心向量之间的距离，目标检测在所得的距离像上完成．利用红外小目标的特性，根据距离像统计直方图来实现门限的自适应选取．

A new small target detection approach is presented which is based on multi scale background texture analysis. Through multi scale wavelet decomposition of background textures and local energy calculation, feature vectors of each point is obtained. According to these feature vectors, a distance map corresponding to these features can be derived and the target detection is performed on this distance map. The histogram of distance map is employed for the automatic selection of threshold value. The experiments show that this approach can give quite satisfactory results.