Title :
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
fDate :
8/1/1996 12:00:00 AM
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
