Calculation of measurements has noteworthy inspiration in different applications now a day. The count of sizes from the profundity of satellite pictures is fundamental for better representation, for recognizable proof of ranges, climate gauging, and so on. Fitting grouping strategies will give better yield for profundity calculation of satellite pictures with least time many-sided quality. The utilization of bit plane channel technique produces improved pictures with least epsilon esteem which helps in showing signs of improvement grouping of pictures. In this paper we apply the strategies for bit plane channel strategy with fuzzy c-means (BPFCM) and bit plane unpleasant c means strategy (BPRCM) on satellite pictures and it is watched that both of these systems give upgraded groups for satellite pictures contrasted with traditional techniques. Likewise, we set up that BPRCM gives a superior upgraded grouped picture in contrast with BPFCM. Furthermore we perform the profundity calculation of satellite pictures, which demonstrates that our methodology (BPRCM) needs least time unpredictability and edge esteem as for the customary techniques and in addition BPFCM for the bended satellite pictures. © 2016, Institute of Integrative Omics and Applied Biotechnology. All rights reserved.