A Survey Paper on Satellite Image Using OpenCV Library over Hadoop Framework

Mr. Chaitanya Shrikant Kulkarni


In this survey paper, we tend to study land classification from two-dimensional high resolution satellite pictures victimization Hadoop framework. Propelled picture process calculations that need higher system control with monstrous scale inputs is prepared with productivity exploitation the parallel and dispersed procedure of HadoopMapReduce Framework. HadoopMapReduce could be a climbable model that is fit for process petabytes information with enhanced adaptation to non-critical failure and information closeness. During this paper we tend to gift a MapReduce framework for acting parallel remote sensing satellite processing victimization Hadoop and storing the output in HBase. The speed and performance show that by utilizing Hadoop, we are able to distribute our employment across completely different clusters to require advantage of combined process power on goods hardware.

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