SAR image processing using artificial intelligence planning

Author

Fisher, Forest ; Chien, Steve ; Lo, Edisanter ; Greeley, Ronald

Author_Institution

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

Volume

3

fYear

1999

fDate

1999

Firstpage

273

Abstract

Describes the use of artificial intelligence (AT) planning techniques to represent scientific, image processing, and software tool knowledge to automate elements of science data preparation and analysis of synthetic aperture radar (SAR) imagery for geology. In particular, the authors describe the Automated SAR Image Processing system (ASIP) which is currently in use by the Department of Geology at Arizona State University (ASU) supporting aeolian science analysis of synthetic aperture radar images. ASIP reduces the number of manual inputs in science product generation by 10-fold, decreases the CPU time to produce images by 30%, and allows scientists to directly produce certain science products

Keywords

geology; planning (artificial intelligence); radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; ASIP; SAR image processing; artificial intelligence planning; automated SAR image processing system; geology; software tool knowledge; synthetic aperture radar; Application specific processors; Artificial intelligence; Data analysis; Geology; Image analysis; Image processing; Information analysis; Process planning; Software packages; Software tools;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace Conference, 1999. Proceedings. 1999 IEEE

Conference_Location

Snowmass at Aspen, CO

Print_ISBN

0-7803-5425-7

Type

conf

DOI

10.1109/AERO.1999.789786

Filename

789786