Satellite

Biography

Biography: Amit Patel

Abstract

In Remote sensing satellites, information is transmitted in store and forward mode, which acquired by sensors (camera) imagery stored on board till ground stations come not within view. Satellite imaging sensors generate mass volumes of data at very high speeds. On the other hand, storage capacity and communication bandwidth are crucial parameters for satellite resources and that decided cost and power requirements. By processing on the data in terms of compression and detection of objects which are required based on applications at onboard and only those data are transmitted at ground level is create an efficient utilization of resource. Here, we have proposed an algorithm based on ratio and threshold method which work on color images that work very efficiently for discriminating different objects of earth as well as clouds. Accuracy of algorithm is more than 97% and gives better PSNR (peak signal to noise ratio). Reconfigurable computing technology, which combines the flexibility of traditional microprocessors with the performance of ASIC devices, is very promising for space applications. FPGA is used for verification and testing of the proposed algorithm, the results are accurate and matched with the simulation results.