Edges are prominent features in images and their analysis and detection are an essential goal in computer vision and image processing. Indeed, identifying and localizing edges are a low level task in a variety of applications such as 3-D reconstruction, shape recognition, image compression, enhancement and restoration. In this paper, we considered edge detection as one of the technique and the evaluation metrics such as SSIM (Structural Similarity Index) and VIF(Visual Information Fidelity) has been applied to the images to measure the image quality. In this paper Satellite images with natural-color are considered, which are captured from the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA's Terra satellite. In the present work evaluation metrics are applied to the original image and edge detected image, thus from experimental results it is observed that the proposed algorithm works well for measuring the quality of hyper spectral images. © IDOSI Publications, 2013.