An Effective EM Simulation Model To Synthesize Remote Sensing Big Data For Urban Land Use Mapping

Day by day, an abundant number of earth observation spaceborne and airborne sensors from many nations provide an immense volume of remotely sensed data. As humans have infiltrated the age of high-resolution earth surveillance, the remote sensing data are subjected to an explosive rise. Data proliferation also gives upsurge to the ascending complexity of remote sensing data, like the variety and higher bulk characteristic of the data. In the nick of time, we are witnessing the coming technological hurdle. In this paper, we propose an operative tridimensional electromagnetic simulation model exploited to incorporate remote sensing big data for the purpose of mapping the urban areas.