Polarimetric radar covariance matrix algorithms and applications to meteorological radar data
Characterization of backscatter from complex or nonstationary targets, which is partially polarized, is considered first. The possibility of constructing the covariance matrix from coherency matrix measurements is investigated, and examples using practical polarization diversity radar data from mete...
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Published in | IEEE transactions on geoscience and remote sensing Vol. 37; no. 2; pp. 1128 - 1137 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York, NY
IEEE
01.03.1999
Institute of Electrical and Electronics Engineers |
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Abstract | Characterization of backscatter from complex or nonstationary targets, which is partially polarized, is considered first. The possibility of constructing the covariance matrix from coherency matrix measurements is investigated, and examples using practical polarization diversity radar data from meteorological targets are given. From examining the practical data, it is found that, for this type of target, reflection symmetry exists, thus giving indication about the physical properties of the medium. In particular, this shows that models, in which symmetrical distributions of both canting angle and shapes are assumed, are sufficient. Using the obtained matrix, propagation effects are examined under that assumption. Since the theory developed is amenable to implementation using a unique microwave circuit, results should have direct practical applications. |
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AbstractList | Characterization of backscatter from complex or nonstationary targets, which is partially polarized, is considered first. The possibility of constructing the covariance matrix from coherency matrix measurements is investigated, and examples using practical polarization diversity radar data from meteorological targets are given. From examining the practical data, it is found that, for this type of target, reflection symmetry exists, thus giving indication about the physical properties of the medium. In particular, this shows that models, in which symmetrical distributions of both canting angle and shapes are assumed, are sufficient. Using the obtained matrix, propagation effects are examined under that assumption. Since the theory developed is amenable to implementation using a unique microwave circuit, results should have direct practical applications Characterization of backscatter from complex or nonstationary targets, which is partially polarized, is considered first. The possibility of constructing the covariance matrix from coherency matrix measurements is investigated, and examples using practical polarization diversity radar data from meteorological targets are given. From examining the practical data, it is found that, for this type of target, reflection symmetry exists, thus giving an indication of the physical properties of the medium. In particular, this shows that models in which symmetrical distributions of both canting angle and shapes are assumed are sufficient. Using the obtained matrix, propagation effects are examined under that assumption. Since the theory developed is amenable to implementation using a unique microwave circuit, results should have direct practical applications. (Author) Characterization of backscatter from complex or nonstationary targets, which is partially polarized, is considered first. The possibility of constructing the covariance matrix from coherency matrix measurements is investigated, and examples using practical polarization diversity radar data from meteorological targets are given. From examining the practical data, it is found that, for this type of target, reflection symmetry exists, thus giving indication about the physical properties of the medium. In particular, this shows that models, in which symmetrical distributions of both canting angle and shapes are assumed, are sufficient. Using the obtained matrix, propagation effects are examined under that assumption. Since the theory developed is amenable to implementation using a unique microwave circuit, results should have direct practical applications. |
Author | Antar, Y.M.M. Pino, A.G. Santalla, V. |
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Cites_doi | 10.1175/1520-0450(1991)030<1053:RATPRM>2.0.CO;2 10.1029/RS013i002p00271 10.1029/RS024i004p00511 10.1029/RS022i001p00037 10.1175/1520-0426(1991)008<0790:ERRFXB>2.0.CO;2 10.1029/92RS01230 10.1109/74.180633 10.1109/36.58973 10.1029/JB093iB12p15252 10.1109/8.489293 10.1109/TAP.1975.1141052 10.1098/rspa.1995.0059 10.1109/36.298003 10.1029/RS010i004p00421 10.1029/RS019i005p01399 10.1109/PROC.1983.12724 10.1080/02726348708908162 10.1109/36.508403 10.1029/RS014i006p01027 |
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Keywords | microwaves rainfall propagation atmospheric precipitation Space remote sensing covariance polarization radar methods backscattering |
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References | ref13 ref12 ref15 ref14 ref10 ref1 ref16 ref19 ref18 beckmann (ref24) 1968 santalla (ref11) 0 ref25 ref20 ref22 ref21 ref8 ref7 luneburg (ref2) 1991 hendry (ref17) 1995 ref4 ref3 ref6 ref5 mcguinness (ref23) 1987; 134 santalla (ref9) 1996 |
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SubjectTerms | Applied geophysics Backscatter Backscattering Coherence Covariance matrix Earth sciences Earth, ocean, space Exact sciences and technology Filing Internal geophysics Meteorological radar Meteorology Microwave circuits Physical properties Polarization Radar applications Radar measurements Radar polarimetry Reflection Shape |
Title | Polarimetric radar covariance matrix algorithms and applications to meteorological radar data |
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