Accession Number:

ADA602545

Title:

Enhancing Ground Based Telescope Performance with Image Processing

Descriptive Note:

Doctoral thesis

Corporate Author:

AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT

Personal Author(s):

Report Date:

2013-11-13

Pagination or Media Count:

142.0

Abstract:

The Space Surveillance Telescope SST is a Defense Advanced Research Projects Agency DARPA program designed to detect objects in space like Near Earth Asteroids NEAs and space debris in the Geosynchronous Earth Orbit GEO belt. Binary hypothesis tests BHTs have historically been used to facilitate the detection of new objects in space. In this dissertation, a multi-hypothesis test MHT detection strategy is introduced to improve the detection performance of the SST. In this context, the MHT determines if an unresolvable point source is in the center, corner or side of a pixel in contrast to a BHT, which only tests whether an object is in the pixel or not. An experiment, recording observations of a known GEO satellite as it enters eclipse, is used to demonstrate improved probability of detection with the MHT by as much as 50 over existing BHT methods. In order to achieve optimal performance of the SST, alignment of the telescope is conducted by retrieving phase information from defocused point sources to determine the telescopes aberrations and then the mirrors are moved for optical correction. A new direct search phase retrieval technique for determining the optical prescription of an imaging system in terms of Zernike coefficients is described. The technique provides coefficient estimates without the need to defocus point source images to generate phase diversity by using electric field estimates in addition to intensity data. Simulated point source data shows the new phase retrieval algorithm avoids getting trapped in local minima over a wide range of random aberrations. Experimental point source data are used to demonstrate the phase retrieval effectiveness.

Subject Categories:

  • Military Intelligence
  • Optical Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE