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

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$487,751.00
Award Year:
1992
Program:
SBIR
Phase:
Phase II
Contract:
n/a
Agency Tracking Number:
17155
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Erdas Inc.
2801 Buford Highway Suite 300, Atlanta, GA, 30329
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Stephen L Sperry
(404) 248-9000
Business Contact:
() -
Research Institution:
n/a
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.

* information listed above is at the time of submission.

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