Innovations in Statistical Image Analysis and Applications to 3D Imaging for Improved SSA
Abstract
This final report on Grant No. FA9550-15-1-0286 documents the accomplishments of the grant effort over its full period of performance, August 14, 2015 - February 14, 2019. They include (i) derivation of physical models and first-principles electromagnetic analyses of ground-based observations to estimate the 3D shape of a roughened reflecting space-object surface under solar illumination; (ii) development of novel extended frozen-flow random-walk based aero-optical turbulence modeling; (iii) derivation of quantum upper bounds on the fidelity of pair super-resolution and experimental proposal to achieve them using projective wavefront measurements; (iv) lab tests of the spiral phase plate that performs image rotation; (v) simulation of data for imaging of point sources (space debris) at varying distances from a space-based rotating PSF imager, and analysis of the numerical optimization problem for the recovery of 3D source locations and fluxes; (vi) development and validation of new computational sparse recovery techniques and algorithms; (vii) development of a three-stage method for using multispectral RPSF images to localize and classify space debris; and (viii) development of a novel hyperspectral classification method inspired by image denoising/segmentation.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 19, 2019
- Accession Number
- AD1086098
Entities
People
- Sukhakar Prasad
Organizations
- University of New Mexico