弱目标所含信息的相对贫乏，使得基于目标的检测算法往往难以获得满意的效果，另一方面，弱目标的存在常常使其所在局部区域的纹理较之包含该区域的更大区域的纹理发生较大改变；而纹理单元及其函数纹理频谱则分别能有效地捕获这两个区域在微纹理及宏纹理上的差异，从而检测出弱目标。基于这一思想，文中提出了一种基于纹理频谱的弱目标自动检测新方法。实验证明，该方法与其它方法相比，具有定位精确、算法简单、抗噪能力强和运算速度较快的优点。 On the other hand, the existence of weak objects often makes the textures of the local area where they are located appear to be more textured than the textures of the larger area containing the area While the texture unit and its function texture spectrum can effectively capture the differences between the two regions in the micro-texture and the macro-texture, respectively, so as to detect the weak target. Based on this idea, a new method of automatic detection of weak targets based on texture spectrum is proposed in this paper. Experiments show that compared with other methods, this method has the advantages of accurate positioning, simple algorithm, strong anti-noise ability and fast operation speed.