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NEURAL NETWORK FEATURE CLASSIFICATION

Award Information

Agency:
Department of Commerce
Branch:
N/A
Award ID:
17463
Program Year/Program:
1992 / SBIR
Agency Tracking Number:
17463
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
PLANNING SYSTEMS, INC.
12030 Sunrise Valley Drive Suite 400, Reston Plaza Reston, VA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1992
Title: NEURAL NETWORK FEATURE CLASSIFICATION
Agency: DOC
Contract: N/A
Award Amount: $34,937.00
 

Abstract:

GIVEN A SET OF IMAGES OF SEA SURFACE PARAMETERS, IT IS POSSIBLE TO CLASSIFY LAND AND OCEAN AREAS. HIGH CHLOROPHYLLCONCENTRATIONS IN ESTUARIES CAN INDICATE PLANKTON BLOOM CONDITIONS. BY EXAMINING SUCH IMAGES, WETLAND, ESTUARY, AND COASTAL RESOURCES CAN BE MONITORED. HOWEVER, THE OPERATIONAL USE OF THIS INFORMATION IS HINDERED BY THE OBSCURING EFFECTS OF CLOUDS AND BY THE MASSIVE AMOUNT OF DATA TO BE REVIEWED BY A HUMAN ANALYST. ARTIFICIAL INTELLIGENCE CAN MITIGATE THESE EFFECTS. WE ENVISION A SYSTEM WHICH WILL USE AN INITIAL TRAINING SET TO BOTH COMPUTE PRINCIPAL COMPONENTS OF IMAGE VARIABILITY AND TRAIN A NEURAL NETWORK. THE NEURAL NETWORK WILL THEN OPERATE ON IMAGERY AVAILABLE FROM THE EARTH OBSERVING SYSTEM. AN EXPERT SYSTEM WILL MODIFY AND/OR COMBINE THOSE CLASSIFICATIONS AND THE RESULTS STORED AS OCEAN FEATURE OBJECTS WITHIN A GIS. THE MODIFIED CLASSIFICATION WILL BE ADDED TO THE NEURAL NETWORK TRAINING SET. THEN THE NETWORK WILL BE RETRAINED, THUS ADAPTING THE NETWORK TO THE LESSONS LEARNED BY EXPERIENCE. THE WORK PROPOSED DURING PHASE I WILL TEST THE FEASIBILITY OF THE RISKIEST PART OF SUCH A SYSTEM, NAMELY, THE ABILITY OF A NEURAL NETWORK TO GENERATE USEFUL CLASSIFICATION IN THEPRESENCE OF CLOUDS AND NOISE.

Principal Investigator:

Dr. Eugene Molinelli
0

Business Contact:

Small Business Information at Submission:

Planning Systems Inc
7923 Jones Branch Dr Mclean, VA 22102

EIN/Tax ID:
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No