A quick anti-camouflage recognition technology based on hyper-spectral image is proposed for resolving the problem that the target is not easy to be extracted accurately and effectively with traditional infrared and visible light single wavelength reconnaissance methods under complex camouflage background. At first, the collected data of multi-spectral image in real time is registered and fused to obtain hyper-spectral images. And then, the fused images are enhanced by digital detail enhancement (DDE) technology and image details are effectively highlighted. At last, the methods of threshold segmenting and connectivity area abstracting of the enhanced image are used to obtain the targets of interest. Experimental results show that the method has better real time and less consumption of central processing unit (CPU) resources. It can quickly and clearly distinguish the targets such as buildings and campus under complex camouflage background, which is difficult to detect for single wavelength methods.