ATDA STRUCTURE AND ARCHITECTURE FOE AUTOMATED IMAGE INTERPRETATION

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N/A
Agency Tracking Number: 20421
Amount: $50,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 1993
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
4561 Sw 34th Street, Orlando, FL, 32811
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Shuwu Song
 (407) 648-9036
Business Contact
Phone: () -
Research Institution
N/A
Abstract
The goal of this project is to develop new approaches and innovative ideas, which are needed to represent oceangraphic satellite imagery using data structures of software architecture that facilitate storage, transmission, processing throughput and accuracy of automated analysis results. Wavelet representation provides a unified framework for techniques including image features analysis, image compression and reconition. Wavelet bases are more attractive than traditional hierarchical bases because they are orthonormal, linear, continuous, and continuously invertible. Choosing wavelets that are simultaneously localized in both space and frequency, and decomposing a signal into a multiscale hierarchical basis with orientation selectivity, can provide a powerful methodology for automated analysis. Neural network will be used in pattern classification for the wavelet representations. The research of this proposal, which takes advantage of the latest image analysis and recognition methods, wavelet transform and neural network, shall lay a solid foundation for the development of an image analysis workstation for oceanographic satellite imagery. The first objective of our investigation is to identify those methods of wavelet representation that perform best in terms of interpretation and automated analysis. The second objective is to develop an image analysis workstation which integrates the most effective image interpretation methods and most advanced image processors for the oceanographic satellite imagery analysis.

* Information listed above is at the time of submission. *

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government