SBIR/STTR Research Award
AN EXPERT SYSTEM INTERFACE FOR KNOWLEDGE-BASED IMAGE CLASSIFICATION AND GIS MODELING
Award amount
$487,751Program and phase
SBIR · Phase IIAward year
1992Award 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