Using Artificial Intelligence Planning to Automate Science Data Analysis for Large Image Databases
نویسندگان
چکیده
This paper describes the use of AI planning techniques to represent scientific, image processing, and software tool knowledge to automate knowledge discovery and data mining (e.g., science data analysis) of large image databases. In particular, we describe two fielded systems. TheMultimission VICAR Planner (MVP) which has been deployed for 2 years and is currently supporting science product generation for the Galileo mission. MVP has ..^rl..“^A G-n l ^ fll ^A..b.: . . -l.T”“^” ^C,,,..^“h” c-n‘GUULGU lullrj LV 1111 I;Ulillll Ui lDSGB “I Hxpwrs ll”lll 4 hours to 15 minutes. The Automated SAR Image Processing system (ASIP) which is currently in use by the Dept. of Geology at ASU supporting aeolian science analysis of synthetic aperture radar images. ASIP reduces the number of manual inputs in science product generation by lo-fold.
منابع مشابه
Using artificial intelligence planning to automate science image data analysis
In recent times, improvements in imaging technology have made available an incredible array of dormation in image format. While powerful and sophisticated image processing software tools are available to prepare and analyze the data, these tools are complex and cumbersome, requiring significant expertise to properly operate. Thus, in order to extract (e.g., mine or analyze) useful information f...
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