Today, Study of structural fractured and faults using remote sensing techniques have been greatly considered by researchers. Such researches are important for brittle regions and alluviums in covered areas. Nayband fault zone is an area with the above mentioned conditions. With considering morphologies related with faulting, the several image (159-37, 159-38, 159-39, 160-37, 160-38, 160-39) taken by Landsat ETM+ images (Nayband Zone located in the middle of images) were used. then for better observation of lithological cutting caused by fault movement, different RGB color composite were applied and for finding the optimum RGB color composite, the OIF (Optimum Index Factor) was calculate. This image was also merged with Landsat ETM+ Panchromatic band for increasing the spatial resolution. The next used technique was Sunangle and Edges enhancement filters to detect of sharp edges and boundaries related to the fractures and faults. In the next step in order to detect valleys and ridges, the DEM (Digital Elevation Model) images was virtually shined Sun light from the one direction. The final Technique, Band Ratio, was used in two ways. First, using for Grayscale images. Second, on a proper RGB colored image. This technique was used for identifying more faults in understudy area. Finally, The Structural Fractures Map of Nayband Zone was drawn using the fractures detected by the foregoing techniques. In the northern part of Nayband fault system, horsetail structures were determined and studied. The faults have been created along the North West-South East. The results indicate that mainly horsetail have reverse displacement and also important effects in morphological features.