Advanced Topics in Space Situational Awareness
Abstract
This report covers the technical accomplishments of the project entitled "Advanced Concepts in Space Situational Awareness" over the period Feb 15, 2002 - June 30, 2007. The report contains a summary of the activities, accomplishments, and research/technology transitions of the project followed by their detailed technical description. Important original advances were made in the areas of information theoretic image assessment, algorithm development, spectral data mining, polarimetric imaging, and large-scale linear and nonlinear optimization methods. Applications of these advances to a number of areas of interest to the AF community are possible and some demonstrated, including the use of spectral data mining and polarimetric imaging for SOI, information-optimized imaging system design, computationally efficient and powerful processing methods for SSA data. A number of technology transitions that resulted attest to the success of the project, including information theoretic analysis for image evaluation, physically constrained image deconvolution (PCID) algorithms transitioned to MSSS, and spectral unmixing algorithms based on non-negative matrix and tensor factorization for rapid SOI.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 07, 2007
- Accession Number
- ADA474997
Entities
People
- David Tyler
- Sudhakar Prasad
Organizations
- University of New Mexico