Photon-limited Sensing and Surveillance
Abstract
The goal of this work was to learn and exploit unknown spatio-temporal structure in online photon-limited sensing and surveillance data. Photon-limited imaging arises in a wide variety of applications of interest to the Air Force, including night vision, space weather, imaging through fog, and spectral imaging. The photon-limited video reconstruction problem is particularly challenging because (a) the limited number of available photons introduces intensity-dependent Poisson statistics which require specialized algorithms and analysis for optimal performance, (b) vast quantities of video data will be collected sequentially, necessitating fast online algorithms, and (c) unknown and changing environmental dynamics preclude classical methods based on known dynamical models. Many current systems sidestep photon limitations by artificially restricting the frame rate and resolution of the video, but sophisticated statistical methods allow dramatic increases in resolution and improved object identification and detection capabilities.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 29, 2015
- Accession Number
- ADA620166
Entities
People
- Rebecca Willett
- Robert Calderbank
Organizations
- Duke University