Title :
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
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;
Conference_Titel :
Aerospace Conference, 1999. Proceedings. 1999 IEEE
Conference_Location :
Snowmass at Aspen, CO
Print_ISBN :
0-7803-5425-7
DOI :
10.1109/AERO.1999.789786
