Data compression method and apparatus for radar image formation

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

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G01S 1389

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active

048720127

ABSTRACT:
Synthetic aperture radar (SAR) images are formed by storing in electronic memory possible outputs of a lossy data compressor, f.sub.1,1 [m], f.sub.1,2 [m], . . . f.sub.1,P [m], where f.sub.1,i [m] represents a segment of the unprocessed radar return; by storing range-correlated segments of the SAR data, g.sub.1,1 [m], g.sub.1,2 [m], . . . g.sub.1,P [m], where g.sub.1,i [m] is the range-correlated version of f.sub.1,i [m]; by storing all possible outputs of a second lossy data compressor, f.sub.2,1 [n], f.sub.2,2 [n], . . . f.sub.2,Q [n], where f.sub.2,i [n] represents a segment of the range-correlated SAR image; and by storing segments of the range-azimuth focussed SAR image data, g.sub.2,1,m [n],g.sub.2,2,m [n], . . . g.sub.2,Q,m [n], where g.sub.2,i,m [n] represents a segment of the SAR range-azimuth focussed image. Thereafter, a sequence of separate radar pulses are transmitted from an aircraft and the return signal is sampled and placed in an array. Vectors of the array are compared with segments f.sub.1,i [m], and the indices of the segments which most closely match the vectors are stored in an array. An intermediate image is formed by adding together segments, g.sub.1,i [m] whose indices match those in the array, while maintaining a predetermined offset. Vectors of this intermediate image are compared with segments f.sub.2,i [n] and the indices of these segments which most closely match the intermediate range vectors are stored in a second array. The final image is formed by adding together segments, g.sub.2,i,m [n], whose indices match those in the second array, while maintaining a predetermined offset between each segment during the addition.

REFERENCES:
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patent: 4771287 (1988-09-01), Mims
The Effect of Codebook Size on the Vector Quantization of SAR Data, by R. V. Jones, V. D. Vaughn, R. L. Frost and D. M. Chabries.
Reduction of SAR Digital Processing Time Using Vector Quantization, by D. V. Arnold, D. M. Chabries and P. L. Jackson.
Quality Measures for SAR Images, by James E. Harris, Randall S. Ostler, Douglas M. Chabries and Richard W. Christiansen.
A Computation Compression Technique for SAR Based on Vector Quantization, by Christopher J. Read, David V. Arnold, Douglas M. Chabries and Richard W. Christiansen. (All above publications dated 1988).

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