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(12) United States Patent
Gladkova et al.
(io) Patent No.: (45) Date of Patent:
US 7,907,784 B2 Mar. 15, 2011
(54) SELECTIVELY LOSSY, LOSSLESS, AND/OR ERROR ROBUST DATA COMPRESSION METHOD
(75) Inventors: Irina Gladkova, West Nyack, NY (US);
Michael Grossberg, New York, NY
(US); Leonid Roytman, Port
Washington, NY (US)
(73) Assignee: The United States of America as
represented by the Secretary of the
Commerce, Washington, DC (US)
( * ) Notice: Subject to any disclaimer, the term of this patent is extended or adjusted under 35 U.S.C. 154(b) by 917 days.
(21) Appl.No.: 11/774,704
(22) Filed: Jul. 9, 2007
(65) Prior Publication Data
US 2009/0018801 Al Jan. 15, 2009
FOREIGN PATENT DOCUMENTS
EP 1209917 A2 5/2002
EP 1209627 A2 5/2006
WO WO2005022399 A2 3/2005
D. Salomon, Data Compression: The Complete Reference, Springer, New York, 2004 (third edition).
Primary Examiner — Anh Hong Do
(74) Attorney, Agent, or Firm — Robert Piatt Bell
Lossless compression techniques provide efficient compression of hyperspectral satellite data. The present invention combines the advantages of a clustering with linear modeling. A number of visualizations are presented, which help clarify why the approach of the present invention is particularly effective on this dataset. At each stage, the algorithm achieves an efficient grouping of the data points around a relatively small number of lines in a very large dimensional data space. The parametrizafion of these lines is very efficient, which leads to efficient descriptions of data points. The method of the present invention yields compression ratios that compare favorably with what is currently achievable by other approaches.
23 Claims, 23 Drawing Sheets
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* cited by examiner