Development of Efficient Algorithm on Satellite Imagery for Detection of Topographical Features

Abstract

Computer vision systems leading a transformation in the prediction oriented results are set to newlinerule the software world in future. The effect of the radical changes in information and newlinehardware technologies is reflected in all areas along with incorporation of information newlinetechnology with space technology. The commercial satellite broadband market is growing at newlinea strong pace, with an anticipated compound annual growth rate (CAGR) of 6.80% from newline2015 to 2022. The space sector is one of the fastest growing in the world along with newlineinformation technology, the space assets serve as economic multiplier for many other sectors. newlineDuring the last decades, the imaging satellite sensors have acquired huge quantities of data newlinewith satellites collecting and transmitting to Earth receiving stations in excess of 3TB of data newlinea day. This information is often less relevant to the content of the scene, including image newlinestructures, patterns, objects, and radiation properties. It was estimated that less than 10% of newlinethese data have been effectively utilized. This research focuses on decreasing the payload and newlineoptimizing the time complexity. New optimal methodologies are contributed for optimal newlinefeature extractions techniques in object detection and classification which gives an idealpayload. newline