Dynamic Data Driven Framework for Accurate Tracking and Characterization of Resident Space Objects

Abstract

This proposed effort will develop a dynamic, data driven framework for tracking and characterization of resident space objects (such as debris, active and inactive satellites).

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 06, 2017
Source ID
FA95501710088

Entities

People

  • Puneet Singla

Organizations

  • Air Force Office of Scientific Research
  • Research Foundation for the State University of New York
  • United States Air Force

Tags

Readers

  • Aerospace Engineering.
  • Neural Network Machine Learning.

Technology Areas

  • Space
  • Space - Space Objects