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APPLICATION OF EOFS TO MULTISPECTRAL IMAGERY COMPRESSION

Award Information

Agency:
National Aeronautics and Space Administration
Branch:
N/A
Award ID:
16981
Program Year/Program:
1991 / SBIR
Agency Tracking Number:
16981
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
ATMOSPHERIC & ENVIRONMENTAL RESEARCH, INC.
131 Hartwell Avenue Lexington, MA 02421 3126
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1991
Title: APPLICATION OF EOFS TO MULTISPECTRAL IMAGERY COMPRESSION
Agency: NASA
Contract: N/A
Award Amount: $49,948.00
 

Abstract:

INCREASES IN INFORMATION BANDWIDTH USING COMMUNICATION CHANNELS OF FIXED PHYSICAL BANDWIDTH ARE MADE POSSIBLE BY ELIMINATING REDUNDANT INFORMATION IN THE INFORMATION STREAM USING DATA COMPRESSION-DECOMPRESSION ALGORITHMS. IMAGES--ESPECIALLY MULTISPECTRAL OR COLOR IMAGES--PUT THE GREATEST STRAIN ON COMMUNICATIONS CHANNELS. A VARIETY OF EXISTING TECHNIQUES, OF VARYING MATURITY, MAY BE APPLIED TO THE PROBLEM OF IMAGE COMPRESSION. SEVERAL OF THESE TECHNIQUES MAY BE APPLIED TO MULTISPECTRAL IMAGES, BUT THEY ARE LESS THAN OPTIMAL. THE APPROACH IN THIS PROJECT FIRST COMPRESSES THE DATA SPECTRALLY TO DERIVE ORTHOGONAL IMAGES WITH MINIMUM BIT DEPTH. THIS TECHNIQUE IS ADAPTIVE AND MAKES USE OF EMPIRICAL ORTHOGONAL FUNCTIONS. AFTER BEING SPECTRALLY COMPRESSED, THE DATA ARE FURTHER COMPRESSED USING STANDARD TECHNIQUES, SUCH AS TRANSFORM CODING, VECTOR QUANTIZATION, AND DCPM. THE EFFICIENCY OF THE LOSS SCHEMES STUDIED WILL BE ASSESSED BY STANDARD STATISTICAL MEASURES, AS WELL AS BY CONSIDERING THE EFFECT OF THE COMPRESSION ON END-USER ALGORITHMS, SUCH AS CLOUD PARAMETER EXTRACTION AND SPECTRAL FEATURE IDENTIFICATION. INCREASES IN INFORMATION BANDWIDTH USING COMMUNICATION CHANNELS OF FIXED PHYSICAL BANDWIDTH ARE MADE POSSIBLE BY ELIMINATING REDUNDANT INFORMATION IN THE INFORMATION STREAM USING DATA COMPRESSION-DECOMPRESSION ALGORITHMS. IMAGES--ESPECIALLY MULTISPECTRAL OR COLOR IMAGES--PUT THE GREATEST STRAIN ON COMMUNICATIONS CHANNELS. A VARIETY OF EXISTING TECHNIQUES, OF VARYING MATURITY, MAY BE APPLIED TO THE PROBLEM OF IMAGE COMPRESSION. SEVERAL OF THESE TECHNIQUES MAY BE APPLIED TO MULTISPECTRAL IMAGES, BUT THEY ARE LESS THAN OPTIMAL. THE APPROACH IN THIS PROJECT FIRST COMPRESSES THE DATA SPECTRALLY TO DERIVE ORTHOGONAL IMAGES WITH MINIMUM BIT DEPTH. THIS TECHNIQUE IS ADAPTIVE AND MAKES USE OF EMPIRICAL ORTHOGONAL FUNCTIONS. AFTER BEING SPECTRALLY COMPRESSED, THE DATA ARE FURTHER COMPRESSED USING STANDARD TECHNIQUES, SUCH AS TRANSFORM CODING, VECTOR QUANTIZATION, AND DCPM. THE EFFICIENCY OF THE LOSS SCHEMES STUDIED WILL BE ASSESSED BY STANDARD STATISTICAL MEASURES, AS WELL AS BY CONSIDERING THE EFFECT OF THE COMPRESSION ON END-USER ALGORITHMS, SUCH AS CLOUD PARAMETER EXTRACTION AND SPECTRAL FEATURE IDENTIFICATION.

Principal Investigator:


0

Business Contact:

Small Business Information at Submission:

Atmospheric & Env Rsch Inc
840 Memorial Dr Cambridge, MA 02139

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