Name
Title | ||
|---|---|---|
A coding algorithm for the covariance matrix representation of polarimetric radar data |
Abstract | ||
|---|---|---|
A coding algorithm for the covariance matrix representation of polarimetric radar data is presented. The goal is to optimize storage requirements and the throughput of computer applications for radar polarimetry, which rely on this kind of representation. The algorithm uses a 10-b quantizer, with gain balance and a nonlinear compressor expander, and achieves a compression factor of 2.5. Some theoretical considerations on the behavior of the quantizer with respect to the input data distribution are discussed. The algorithm performance is characterized using a data set acquired by the NASA JPL AIRSAR sensor |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1109/36.210469 | Geoscience and Remote Sensing, IEEE Transactions |
Keywords | Field | DocType |
data compression,geophysical techniques,image coding,matrix algebra,remote sensing by radar,synthetic aperture radar,sar,coding algorithm,compression factor,computer applications,computer storage requirement,covariance matrix representation,data processing,land surface,measurement,nonlinear compressor expander,polarimetric radar,polarization,quantizer,remote sensing,technique,covariance matrix,algorithm design and analysis,throughput,quantization | Radar,Computer vision,Data processing,Algorithm design,Polarimetry,Synthetic aperture radar,Remote sensing,Artificial intelligence,Covariance matrix,Quantization (signal processing),Data compression,Mathematics | Journal |
Volume | Issue | ISSN |
31 | 1 | 0196-2892 |
Citations | PageRank | References |
1 | 0.54 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| g de grandi | 1 | 12 | 8.50 |
| Lavalle, C. | 2 | 1 | 0.54 |
| A. J. Sieber | 3 | 144 | 27.71 |