Automating image processing for scientific data analysis of a large image database

Author

Chien, Steve A. ; Mortensen, Helen B.

Author_Institution

Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA

Volume

18

Issue

8

fYear

1996

fDate

8/1/1996 12:00:00 AM

Firstpage

854

Lastpage

859

Abstract

Describes the Multimission VICAR Planner (MVP): an AI planning system which uses knowledge about image processing steps and their requirements to construct executable image processing scripts to support high-level science requests made to the Jet Propulsion Laboratory (JPL) Multimission Image Processing Subsystem (MIPS). This article describes a general AI planning approach to automation and application of the approach to a specific area of image processing for planetary science applications involving radiometric correction, color triplet reconstruction, and mosaicing in which the MVP system significantly reduces the amount of effort required by image processing experts to fill a typical request

Keywords

astronomical techniques; image processing; planets; planning (artificial intelligence); scientific information systems; very large databases; video signal processing; visual databases; AI planning system; Jet Propulsion Laboratory; Multimission Image Processing Subsystem; Multimission VICAR Planner; color triplet reconstruction; high-level science requests; image processing; large image database; mosaicing; planetary science; radiometric correction; scientific data analysis; Artificial intelligence; Automation; Color; Data analysis; Image processing; Image reconstruction; Laboratories; Process planning; Propulsion; Radiometry;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.531806

Filename

531806