SBIR/STTR Research Award

AN EXPERT SYSTEM INTERFACE FOR KNOWLEDGE-BASED IMAGE CLASSIFICATION AND GIS MODELING

Award identifier 278448cabd0ed3fb24a1b36d5aba68893cc9008505444a48c4eb8cc305fe4b02Awarding agency National Aeronautics and Space Administration

Award amount

$487,751

Program and phase

SBIR · Phase II

Award year

1992

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
Erdas Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

THE AIM OF THIS PROJECT IS TO DESIGN A NEW MODULE FOR THE FIRM'S RASTER-BASED IMAGE PROCESSING AND GEOGRAPHIC INFORMATION SYSTEM (GIS) SOFTWARE. THE CONCEPT WILL BE USEDTO ENHANCE STANDARD DIGITAL VECTOR LAND-USE MAPS USING A KNOWLEDGE-BASED EXPERT SYSTEM THAT ACCESSES AVAILABLE GIS DATA SOURCES, SUCH AS SATELLITE IMAGING, TOPOGRAPHIC DATA, SOIL DATA, AND HYDROLOGY. THE FOCUS WILL BE ON AN INTERFACE TO AN EXISTING EXPERT-SYSTEM SHELL. THE INTENTIONIS BUILD ON PREVIOUS STUDIES WITH RULE-BASED LAND-USE CLASSIFICATION. THE KNOWLEDGE-BASED MODULE WILL QUERY THE USER ABOUT THE RULES DECISION, STORE AND MODIFY THE DECISIONRULES, AND WRITE THE MACRO NEEDED TO DECIDE THE FINAL LAND-USE CLASSIFICATION. THE INNOVATION OF THE PROGRAM WILLBE TO ENHANCE TODAY'S IMAGE-PROCESSING TECHNIQUES IN CASES WHERE THE LAND-USE CLASSIFICATION WILL BE DETERMINED BY A POLYGON-SPECIFIC, AND NOT PIXEL-SPECIFIC, CLASSIFIER. THE MODULE WILL RELY ON SPATIAL RASTERS AND AUXILIARY DATA TO DUPLICATE PRODUCTS NOW PRODUCED BY TRADITIONAL AIRPHOTO INTERPRETATION. THE CLASSIFICATION RULES WILL BE DEVELOPED USING THE FIRM'S RASTER-BASED GIS. THE AIM OF THIS PROJECT IS TO DESIGN A NEW MODULE FOR THE FIRM'S RASTER-BASED IMAGE PROCESSING AND GEOGRAPHIC INFORMATION SYSTEM (GIS) SOFTWARE. THE CONCEPT WILL BE USEDTO ENHANCE STANDARD DIGITAL VECTOR LAND-USE MAPS USING A KNOWLEDGE-BASED EXPERT SYSTEM THAT ACCESSES AVAILABLE GIS DATA SOURCES, SUCH AS SATELLITE IMAGING, TOPOGRAPHIC DATA, SOIL DATA, AND HYDROLOGY. THE FOCUS WILL BE ON AN INTERFACE TO AN EXISTING EXPERT-SYSTEM SHELL. THE INTENTIONIS BUILD ON PREVIOUS STUDIES WITH RULE-BASED LAND-USE CLASSIFICATION. THE KNOWLEDGE-BASED MODULE WILL QUERY THE USER ABOUT THE RULES DECISION, STORE AND MODIFY THE DECISIONRULES, AND WRITE THE MACRO NEEDED TO DECIDE THE FINAL LAND-USE CLASSIFICATION. THE INNOVATION OF THE PROGRAM WILLBE TO ENHANCE TODAY'S IMAGE-PROCESSING TECHNIQUES IN CASES WHERE THE LAND-USE CLASSIFICATION WILL BE DETERMINED BY A POLYGON-SPECIFIC, AND NOT PIXEL-SPECIFIC, CLASSIFIER. THE MODULE WILL RELY ON SPATIAL RASTERS AND AUXILIARY DATA TO DUPLICATE PRODUCTS NOW PRODUCED BY TRADITIONAL AIRPHOTO INTERPRETATION. THE CLASSIFICATION RULES WILL BE DEVELOPED USING THE FIRM'S RASTER-BASED GIS.

Technology keywords

Not reported

Agency intelligence

National Aeronautics and Space Administration

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