Most of the times identifying the terrains in some points of some images which are influenced by the others is difficult. So, some algorithms must be developed in such points. the auto selection color constancy algorithms have been indicated as a highly applicable algorithm to improve identifying of dark non metric laboratorial images. This paper is aimed to investigate and assess capability of this algorithms to reconstruct of images of remote sensing. By using a fuzzy logic, these algorithms help to choose an appropriate color selection algorithm of Gray-Edge, Gray-World or White-Patch. These algorithms are considered because of precision movement of light in addition to significantly illustration of color in images. Also, the study area has been divided into 50 equal sections in order to assessing the presented method and then the application of GE, GW and WP has been assessed in each section by two experts. Since the study area has the different shadow positions and objects, the existent information of sections is not integrated and the assessing of the result would be reliable. It is shown in most of the times the presented method has better results in clarifying of shadow terrains and could better clarify the edge of the terrains.