USA flag logo/image

An Official Website of the United States Government

A HYBRID REVERSIBLE INTEGAR INTER-BAND DECORRELATION TECHNIQUE FOR…

Award Information

Agency:
Department of Defense 		Branch:
Office of the Secretary of Defense 		Award ID:
40687 		Program Year/Program:
1998 / SBIR
Agency Tracking Number:
40687 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
LNK CORP., INC.
6811 Kenilworth Avenue, Suite 306 Riverdale, MD 20737
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1998
Title: A HYBRID REVERSIBLE INTEGAR INTER-BAND DECORRELATION TECHNIQUE FOR LOSSLESS/LOSSY HYPERSPECTRAL IMAGE COMPRESSION
Agency / Branch: DOD / OSD
Contract: N/A
Award Amount: $99,998.00
 

Abstract:

The placement of hyperspectral sensors on future Unmanned Air Vehicles is constrained by a data bottleneck caused by the limited downlink bandwidth. This proposal addresses this problem by developing a lossless compression algorithm that is optimized for hyperspectral imagery. Hyperspectral imagers generate 3-D data whose two axes correspond to spatial directions and the third to spectral response. The proposed solution exploits the latest results in lossless image compression by performing a reversible multiresolution decomposition of the data along the spatial axes. For extracting the redundancies in the spectral axis, one of three choices is proposed. The first is based on the principal component analysis, modified to ensure reversibility of the transformation. The second is based on cross-spectral prediction and the last on an integer multiresolution decomposition in the spectral direction. An experimental setup is proposed to pick the best candidate solution over a range of sample data. The transformed data is efficiently encoded by means of a contextual arithmetic encoder.Lossy compression is possible in a simple extension of the lossless technique. In addition the algorithm permits progressive transmission. The computational requirement of the algorithm is reasonable, and encoding the decoding complexities are nearly symmetric.

Principal Investigator:

Mr Sridhar Srinivasan
3019273223

Business Contact:


0
Small Business Information at Submission:

LNK CORP., INC.
6811 KENILWORTH AVENUE STE 306 Riverdale, MD 20737

EIN/Tax ID: 231704386
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No