Non-Resolved Satellite Multi-Modal Data Fusion
Abstract
Many different efforts are ongoing in the use of ground-based optical observations for characterization of space objects and space object identification (SOI). However, given the lack of results using single modes, primary questions remain: Is there an optimal number of inputs and can they be combined to increase knowledge of space objects enabling better detection,identification, attribution, and/or intent? Is it a photometric light curve, the magnitude of the reflected light, a spectral signature, polarization information, orbital characteristics, or a combination of these phenomenologies (i.e. modes)? Another question is how to best fuse the different modes to decrease ambiguities in ill-posed space situational awareness (SSA) problems or feed higher data fusion levels. Past efforts have attempted to develop solutions using primarily single modes with some spectral efforts. These efforts have failed to produce broad solutions for general SSA use. New methods to optimally fuse different modes need to be developed in a level zero/level one data fusion framework for SSA support. Development of representations thatdecompose the observed information to schema that can be used in information theoretic approaches is also a significant need.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 09, 2018
- Source ID
- FA95501810018
Entities
People
- Amelia Ramirez
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of La Serena