In this paper an efficient method for camouflage assessment in remote sensing images is presented. The proposed method consists of two main parts including template matching algorithm and UR-SIFT (Uniform Robust Scale Invariant Feature Transform) feature extraction algorithm. In the first part, the distinctiveness between target and background based on template matching algorithm is computed and using a Gaussian function a quantitative measure is presented for description of target camouflage. In the second part, the detectability rate of the target is investigated based on UR-SIFT algorithm which is an improved version of well-known SIFT algorithm that has been developed for feature extraction in remote sensing images. If the target would not be extracted using UR-SIFT algorithm then, it can be concluded that target are concealed in the background. Four satellite images included a specific object in four camouflage status are considered to assessment of proposed algorithm. Experimental result indicates the good performance of proposed method in camouflage assessment in remote sensing images.