Solid Angle Geometry-Based Modeling of Volume Scattering with Application in the Adaptive Decomposition of GF-3 Data of Sea Ice in Antarctica
Over the last two decades, spaceborne polarimetric synthetic aperture radar (PolSAR) has been widely used to penetrate sea ice surfaces to achieve fully polarimetric high-resolution imaging at all times of day and in a range of weather conditions. Model-based polarimetric decomposition is a powerful...
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ftmdpi:oai:mdpi.com:/2072-4292/15/12/3208/ 2023-08-20T04:01:54+02:00 Solid Angle Geometry-Based Modeling of Volume Scattering with Application in the Adaptive Decomposition of GF-3 Data of Sea Ice in Antarctica Dong Li He Lu Yunhua Zhang agris 2023-06-20 application/pdf https://doi.org/10.3390/rs15123208 EN eng Multidisciplinary Digital Publishing Institute Atmospheric Remote Sensing https://dx.doi.org/10.3390/rs15123208 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 15; Issue 12; Pages: 3208 polarimetric decomposition radar polarimetry synthetic aperture radar sea ice volume scattering model Text 2023 ftmdpi https://doi.org/10.3390/rs15123208 2023-08-01T10:33:13Z Over the last two decades, spaceborne polarimetric synthetic aperture radar (PolSAR) has been widely used to penetrate sea ice surfaces to achieve fully polarimetric high-resolution imaging at all times of day and in a range of weather conditions. Model-based polarimetric decomposition is a powerful tool used to extract useful physical and geometric information about sea ice from the matrix datasets acquired by PolSAR. The volume scattering of sea ice is usually modeled as the incoherent average of scatterings of a large volume of oriented ellipsoid particles that are uniformly distributed in 3D space. This uniform spatial distribution is often approximated as a uniform orientation distribution (UOD), i.e., the particles are uniformly oriented in all directions. This is achieved in the existing literature by ensuring the canting angle ϕ and tilt angle τ of particles uniformly distributed in their respective ranges and introducing a factor cosτ in the ensemble average. However, we find this implementation of UOD is not always effective, while a real UOD can be realized by distributing the solid angles of particles uniformly in 3D space. By deriving the total solid angle of the canting-tilt cell spanned by particles and combining the differential relationship between solid angle and Euler angles ϕ and τ, a complete expression of the joint probability density function pϕ,τ that can always ensure the uniform orientation of particles of sea ice is realized. By ensemble integrating the coherency matrix of ϕ,τ-oriented particle with pϕ,τ, a generalized modeling of the volume coherency matrix of 3D uniformly oriented spheroid particles is obtained, which covers factors such as radar observation geometry, particle shape, canting geometry, tilt geometry and transmission effect in a multiplicative way. The existing volume scattering models of sea ice constitute special cases. The performance of the model in the characterization of the volume behaviors was investigated via simulations on a volume of oblate and prolate ... Text Antarc* Antarctica Sea ice MDPI Open Access Publishing Remote Sensing 15 12 3208 |
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Open Polar |
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MDPI Open Access Publishing |
op_collection_id |
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language |
English |
topic |
polarimetric decomposition radar polarimetry synthetic aperture radar sea ice volume scattering model |
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polarimetric decomposition radar polarimetry synthetic aperture radar sea ice volume scattering model Dong Li He Lu Yunhua Zhang Solid Angle Geometry-Based Modeling of Volume Scattering with Application in the Adaptive Decomposition of GF-3 Data of Sea Ice in Antarctica |
topic_facet |
polarimetric decomposition radar polarimetry synthetic aperture radar sea ice volume scattering model |
description |
Over the last two decades, spaceborne polarimetric synthetic aperture radar (PolSAR) has been widely used to penetrate sea ice surfaces to achieve fully polarimetric high-resolution imaging at all times of day and in a range of weather conditions. Model-based polarimetric decomposition is a powerful tool used to extract useful physical and geometric information about sea ice from the matrix datasets acquired by PolSAR. The volume scattering of sea ice is usually modeled as the incoherent average of scatterings of a large volume of oriented ellipsoid particles that are uniformly distributed in 3D space. This uniform spatial distribution is often approximated as a uniform orientation distribution (UOD), i.e., the particles are uniformly oriented in all directions. This is achieved in the existing literature by ensuring the canting angle ϕ and tilt angle τ of particles uniformly distributed in their respective ranges and introducing a factor cosτ in the ensemble average. However, we find this implementation of UOD is not always effective, while a real UOD can be realized by distributing the solid angles of particles uniformly in 3D space. By deriving the total solid angle of the canting-tilt cell spanned by particles and combining the differential relationship between solid angle and Euler angles ϕ and τ, a complete expression of the joint probability density function pϕ,τ that can always ensure the uniform orientation of particles of sea ice is realized. By ensemble integrating the coherency matrix of ϕ,τ-oriented particle with pϕ,τ, a generalized modeling of the volume coherency matrix of 3D uniformly oriented spheroid particles is obtained, which covers factors such as radar observation geometry, particle shape, canting geometry, tilt geometry and transmission effect in a multiplicative way. The existing volume scattering models of sea ice constitute special cases. The performance of the model in the characterization of the volume behaviors was investigated via simulations on a volume of oblate and prolate ... |
format |
Text |
author |
Dong Li He Lu Yunhua Zhang |
author_facet |
Dong Li He Lu Yunhua Zhang |
author_sort |
Dong Li |
title |
Solid Angle Geometry-Based Modeling of Volume Scattering with Application in the Adaptive Decomposition of GF-3 Data of Sea Ice in Antarctica |
title_short |
Solid Angle Geometry-Based Modeling of Volume Scattering with Application in the Adaptive Decomposition of GF-3 Data of Sea Ice in Antarctica |
title_full |
Solid Angle Geometry-Based Modeling of Volume Scattering with Application in the Adaptive Decomposition of GF-3 Data of Sea Ice in Antarctica |
title_fullStr |
Solid Angle Geometry-Based Modeling of Volume Scattering with Application in the Adaptive Decomposition of GF-3 Data of Sea Ice in Antarctica |
title_full_unstemmed |
Solid Angle Geometry-Based Modeling of Volume Scattering with Application in the Adaptive Decomposition of GF-3 Data of Sea Ice in Antarctica |
title_sort |
solid angle geometry-based modeling of volume scattering with application in the adaptive decomposition of gf-3 data of sea ice in antarctica |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2023 |
url |
https://doi.org/10.3390/rs15123208 |
op_coverage |
agris |
genre |
Antarc* Antarctica Sea ice |
genre_facet |
Antarc* Antarctica Sea ice |
op_source |
Remote Sensing; Volume 15; Issue 12; Pages: 3208 |
op_relation |
Atmospheric Remote Sensing https://dx.doi.org/10.3390/rs15123208 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs15123208 |
container_title |
Remote Sensing |
container_volume |
15 |
container_issue |
12 |
container_start_page |
3208 |
_version_ |
1774712283790835712 |