Four-Component Scattering Power Decomposition Algorithm with Rotation of Covariance Matrix Using ALOS-PALSAR Polarimetric Data
The present study introduces the four-component scattering power decomposition (4-CSPD) algorithm with rotation of covariance matrix, and presents an experimental proof of the equivalence between the 4-CSPD algorithms based on rotation of covariance matrix and coherency matrix. From a theoretical po...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2012-07-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2072-4292/4/8/2199 |
| _version_ | 1818959797554249728 |
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| author | Yasuhiro Nakamura Mitsunobu Sugimoto Kazuo Ouchi |
| author_facet | Yasuhiro Nakamura Mitsunobu Sugimoto Kazuo Ouchi |
| author_sort | Yasuhiro Nakamura |
| collection | DOAJ |
| description | The present study introduces the four-component scattering power decomposition (4-CSPD) algorithm with rotation of covariance matrix, and presents an experimental proof of the equivalence between the 4-CSPD algorithms based on rotation of covariance matrix and coherency matrix. From a theoretical point of view, the 4-CSPD algorithms with rotation of the two matrices are identical. Although it seems obvious, no experimental evidence has yet been presented. In this paper, using polarimetric synthetic aperture radar (POLSAR) data acquired by Phased Array L-band SAR (PALSAR) on board of Advanced Land Observing Satellite (ALOS), an experimental proof is presented to show that both algorithms indeed produce identical results. |
| first_indexed | 2024-12-20T11:47:21Z |
| format | Article |
| id | doaj.art-41ece2945578499d9fbebd9d819ba2d9 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-20T11:47:21Z |
| publishDate | 2012-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-41ece2945578499d9fbebd9d819ba2d92022-12-21T19:41:51ZengMDPI AGRemote Sensing2072-42922012-07-01482199220910.3390/rs4082199Four-Component Scattering Power Decomposition Algorithm with Rotation of Covariance Matrix Using ALOS-PALSAR Polarimetric DataYasuhiro NakamuraMitsunobu SugimotoKazuo OuchiThe present study introduces the four-component scattering power decomposition (4-CSPD) algorithm with rotation of covariance matrix, and presents an experimental proof of the equivalence between the 4-CSPD algorithms based on rotation of covariance matrix and coherency matrix. From a theoretical point of view, the 4-CSPD algorithms with rotation of the two matrices are identical. Although it seems obvious, no experimental evidence has yet been presented. In this paper, using polarimetric synthetic aperture radar (POLSAR) data acquired by Phased Array L-band SAR (PALSAR) on board of Advanced Land Observing Satellite (ALOS), an experimental proof is presented to show that both algorithms indeed produce identical results.http://www.mdpi.com/2072-4292/4/8/2199polarimetric synthetic aperture radar (POLSAR)scattering power decompositionradar polarimetrycovariance matrix rotation |
| spellingShingle | Yasuhiro Nakamura Mitsunobu Sugimoto Kazuo Ouchi Four-Component Scattering Power Decomposition Algorithm with Rotation of Covariance Matrix Using ALOS-PALSAR Polarimetric Data Remote Sensing polarimetric synthetic aperture radar (POLSAR) scattering power decomposition radar polarimetry covariance matrix rotation |
| title | Four-Component Scattering Power Decomposition Algorithm with Rotation of Covariance Matrix Using ALOS-PALSAR Polarimetric Data |
| title_full | Four-Component Scattering Power Decomposition Algorithm with Rotation of Covariance Matrix Using ALOS-PALSAR Polarimetric Data |
| title_fullStr | Four-Component Scattering Power Decomposition Algorithm with Rotation of Covariance Matrix Using ALOS-PALSAR Polarimetric Data |
| title_full_unstemmed | Four-Component Scattering Power Decomposition Algorithm with Rotation of Covariance Matrix Using ALOS-PALSAR Polarimetric Data |
| title_short | Four-Component Scattering Power Decomposition Algorithm with Rotation of Covariance Matrix Using ALOS-PALSAR Polarimetric Data |
| title_sort | four component scattering power decomposition algorithm with rotation of covariance matrix using alos palsar polarimetric data |
| topic | polarimetric synthetic aperture radar (POLSAR) scattering power decomposition radar polarimetry covariance matrix rotation |
| url | http://www.mdpi.com/2072-4292/4/8/2199 |
| work_keys_str_mv | AT yasuhironakamura fourcomponentscatteringpowerdecompositionalgorithmwithrotationofcovariancematrixusingalospalsarpolarimetricdata AT mitsunobusugimoto fourcomponentscatteringpowerdecompositionalgorithmwithrotationofcovariancematrixusingalospalsarpolarimetricdata AT kazuoouchi fourcomponentscatteringpowerdecompositionalgorithmwithrotationofcovariancematrixusingalospalsarpolarimetricdata |