Analysis of IR Celestial Survey Experiment.

A new computer efficient, entropy-based filter for spatial resolution improvement in images has been developed. The method, Filtered Entropy Restoration, has been applied to images constructed from IRAS telescope data. The restored images typically exhibit a factor of four improvement in spatial res...

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Bibliographic Details
Main Authors: Korte, R. M., Kennealy, J. P., Gonsalves, R. A., Wong, C.
Other Authors: MISSION RESEARCH CORP SANTA BARBARA CA
Format: Text
Language:English
Published: 1989
Subjects:
SKY
Online Access:http://www.dtic.mil/docs/citations/ADA235997
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA235997
Description
Summary:A new computer efficient, entropy-based filter for spatial resolution improvement in images has been developed. The method, Filtered Entropy Restoration, has been applied to images constructed from IRAS telescope data. The restored images typically exhibit a factor of four improvement in spatial resolution. This work required development of a compute-efficient image construction algorithm, as the IRAS data is not in image format. Image construction required several important preprocessing steps. Development of FIER, image construction, and pre-processing algorithms are all described. IRAS is an acronym for the Infra-Red Astronomical Satellite, and the IRAS mission, a joint undertaking of the United States (50%), the Netherlands (40%), and Great Britain (10%). IRAS was launched on 26 January 1983 and collected IR sky data continuously from 9 February 1983 through 23 November 1983, at which time the cryogen had been depleted. The primary IRAS objective was to perform a complete, very sensitive survey of the entire sky in four wavelength bands centered at 12, 25, 60, and 100 micron (also referred to as IRAS Bands 1, 2, 3, and 4 respectively). Completeness of the IRAS survey was limited only by interruptions during passages through the South Atlantic Anomaly and a lunar avoidance strategy which was necessary to minimize thermal loading.