Measurement and signature intelligence analysis and...

Communications: directive radio wave systems and devices (e.g. – Synthetic aperture radar

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Reexamination Certificate

active

07084805

ABSTRACT:
Methods and apparatus compress data, comprising an In-phase (I) component and a Quadrature (Q) component. The compressed data may be saved into a memory or may be transmitted to a remote location for subsequent processing or storage. Statistical characteristics of the data are utilized to convert the data into a form that requires a reduced number of bits in accordance with the statistical characteristics. The data may be further compressed by transforming the data, as with a discrete cosine transform, and by modifying the transformed data in accordance with a quantization conversion table that is selected using a data type associated with the data. Additionally, a degree of redundancy may be removed from the processed data with an encoder. Subsequent processing of the compressed data may decompress the compressed data in order to approximate the original data by reversing the process for compressing the data with corresponding inverse operations.

REFERENCES:
patent: 4801939 (1989-01-01), Jones
patent: 5661477 (1997-08-01), Moreira et al.
patent: 6714154 (2004-03-01), Cirillo et al.
NN84056410; Compression Technique for Text Character Streams; IBM Technical Disclosure Bulletin; May 1984; vol. 26, Issue 12, pp. 6410-6412.
S. A. Kuschel, B. Howlett, S. Wei and S. Werness, “ASARS-2 Complex Image Compression Studies Final Report”, ERIM, Mar. 1997.
G. Poggi, A. R. P. Ragozini, and L. Verdoliva, “Compression of SAR Data Through Range Focusing and Variable-Rate Vector Quantization”, IEEE Transactions on Geoscience and Remote Sensing, vol. 38, pp. 1282-1289, May 2000.
I. H. McLeod, I. G. Cumming, and M. S. Seymour, “ENVISAT ASAR Data Reduction: Impact on SAR Interferometry”, IEEE Transactions on Geoscience and Remote Sensing, vol. 36, pp. 589-602, Mar. 1998.
U. Benz, K. Strodl, and A. Moreira, “A Comparison of Several Algorithms for SAR Raw Data Compression”, IEEE Transactions on Geoscience and Remote Sensing, vol. 33, pp. 1266-1276, Sep. 1995.
J. Fischer, U. Benz, A. Moriera, “Efficient SAR Raw Data Compression in Frequency Domain”, IGARSS'99: IEEE International Geoscience and Remote Sensing Symposium Proceedings, vol. 4, pp. 2261-2263, Jun. 28-Jul. 2, 1999.
P. Eichel and R. W. Ives, “Compression of Complex-Valued SAR Images”, IEEE Transactions on Image Processing, vol. 8, pp. 1483-1487, Oct. 1999.
S. Peskova and S. Vnotechenko, “Analysis of Complex SAR Raw Data Compression”, CEOS 1999.
R. Kwok and W. T. K. Johnson, “Block Adaptive Quantization of Magellan SAR Data”, IEEE Transactions on Geoscience and Remote Sensing, vol. 27, pp. 375-383, Jul. 1989.
G. Schirinzi, “SAR Raw Data Compression Techniques”, CEOS, Oct. 1999.
A.V. Oppenheim and J. S. Lim, “The Importance of Phase in Signal”, Proceedings of the IEEE, vol. 29, pp. 529-541, 1981.
Randal C. Reininger and Jerry D. Gibson, “Distributions of the Two-Dimensional DCT Coefficients for Images”, IEEE Transactions on Communications, vol. COM-31, No. 6, pp. 835-839, Jun. 1983.
Julia Minguillon and Jaume Pujol, “JPEG Standard Uniform Quantization Error Modeling with Applications to Sequential and Progressive Operation Modes”, Journal of Electronic Imaging, vol. 10, No. 2, pp. 475-485, Apr. 2001.
Gregory K. Wallace, “The JPEG Still Picture Compression Standard”, IEEE Transaction on Consumer Electronics, Dec. 1991.
G. Mercier, J. Mvogo, M. Mouchot, G. Cazuguel, and J. Rudant, “Compression of Temporal Series of Registered SAR Images”, CEOS, 1999.
Bing Zeng and Anastatios Venetsanopoulous, “A JPEG-Based Interpolative Image Coding Scheme”, IEEE Publication 0-7803-0946-4/93, 1993.
James W. Owens and Michael W. Marcillin, “Rate Allocation for Spotlight SAR Phase History Data Compression”, IEEE Transactions on Image Processing, vol. 8, No. 11, pp. 1527-1533, Nov. 1999.
Norman B. Nill, “A Visual Model Weighted Cosine Transform for Image Compression and Quality Assessment”, IEEE Transactions on Communications, vol. COM-33, No. 6, pp. 551-557, Jun. 1985.
Andreas E. Savakis, “Evaluation of Algorithms for Lossless Compression of Continuous-Tone Images”, Journal of Electronic Imaging, vol. 11, No.: 1, pp. 75-86, Jan. 2002.
Dorian Kermish, “Image Reconstruction from Phase Information Only”, Journal of the Optical Society of America, vol. 60, No. 1, pp. 15-17, Jan. 1970.
John A. Saghri, Andrew G. Tescher, and John T. Reagan, “Spaced-Based Data Compression Issues”, Journal of Electronic Imaging, vol. 3, No. 8, pp. 301-310, Jul. 1999.
N. Beaucoudrey, T. Seren, D. Barba, and X. Morin, “Data Compression for Transmission of Polarimetric SAR Signal by Vector Quantization—Performance Evaluation”, CEOS, 1999.
Hans Marmolin, “Subjective MSE Measures”, IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-16, No. 3, May/Jun. 1986.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Measurement and signature intelligence analysis and... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Measurement and signature intelligence analysis and..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Measurement and signature intelligence analysis and... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3613486

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.