Iterative algorithm for autonomous star identification PROJECT TITLE :Iterative algorithm for autonomous star identificationABSTRACT:An autonomous star identification algorithm is described during this study. This algorithm iteratively determines a catalog star, the distances of that to its neighbors are like those of a given sensor star and its neighboring stars, till a unique match is found. In every iteration, only the catalog stars that receive sufficient votes are utilized in the next steps. We conjointly develop a helpful probabilistic model for performance prediction and analysis. Analysis indicates that spurious star pairings are decreased exponentially after each iteration. The simulation and real sky image results show that the proposed approach is more robust than typical algorithms and needs fewer resources. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Robust Histogram Shape-Based Method for Image Watermarking New Object Detection, Tracking, and Recognition Approaches for Video Surveillance Over Camera Network