Ground and Volume Scattering Separation in Compact Polarimentric Interferometric SAR Data
This work presents a methodology to separate the ground and volume contributions from compact polarimetric SAR interferometric (PolInSAR) data over forest areas. One can decompose the PolInSAR data into two covariance matrices from ground and volume in a particular resolution cell, relying on the as...
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ftdlr:oai:elib.dlr.de:188444 2024-05-19T07:46:05+00:00 Ground and Volume Scattering Separation in Compact Polarimentric Interferometric SAR Data Dey, Subhadip Bhogapurapu, Narayanarao Bhattacharya, Avik 2022-12 application/pdf https://elib.dlr.de/188444/ https://elib.dlr.de/188444/1/URSI_RCRS_2022_SD.pdf en eng https://elib.dlr.de/188444/1/URSI_RCRS_2022_SD.pdf Dey, Subhadip und Bhogapurapu, Narayanarao und Bhattacharya, Avik (2022) Ground and Volume Scattering Separation in Compact Polarimentric Interferometric SAR Data. In: 2022 URSI Regional Conference on Radio Science, USRI-RCRS 2022. URSI - RCRS 2022, 2022-12-01 - 2022-12-04, Indian Institute of Technology (IIT), Indore, India. doi:10.23919/URSI-RCRS56822.2022.10118450 <https://doi.org/10.23919/URSI-RCRS56822.2022.10118450>. ISBN 978-946396808-9. Radarkonzepte Konferenzbeitrag PeerReviewed 2022 ftdlr https://doi.org/10.23919/URSI-RCRS56822.2022.10118450 2024-04-25T01:02:02Z This work presents a methodology to separate the ground and volume contributions from compact polarimetric SAR interferometric (PolInSAR) data over forest areas. One can decompose the PolInSAR data into two covariance matrices from ground and volume in a particular resolution cell, relying on the assumptions of the two-layer model. We demonstrate this approach using simulated single baseline compact polarimetric SAR data of the BioSAR-2008 mission over boreal forests in Northern Sweden. Conference Object Northern Sweden German Aerospace Center: elib - DLR electronic library 2022 URSI Regional Conference on Radio Science (USRI-RCRS) 1 4 |
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German Aerospace Center: elib - DLR electronic library |
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English |
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Radarkonzepte Dey, Subhadip Bhogapurapu, Narayanarao Bhattacharya, Avik Ground and Volume Scattering Separation in Compact Polarimentric Interferometric SAR Data |
topic_facet |
Radarkonzepte |
description |
This work presents a methodology to separate the ground and volume contributions from compact polarimetric SAR interferometric (PolInSAR) data over forest areas. One can decompose the PolInSAR data into two covariance matrices from ground and volume in a particular resolution cell, relying on the assumptions of the two-layer model. We demonstrate this approach using simulated single baseline compact polarimetric SAR data of the BioSAR-2008 mission over boreal forests in Northern Sweden. |
format |
Conference Object |
author |
Dey, Subhadip Bhogapurapu, Narayanarao Bhattacharya, Avik |
author_facet |
Dey, Subhadip Bhogapurapu, Narayanarao Bhattacharya, Avik |
author_sort |
Dey, Subhadip |
title |
Ground and Volume Scattering Separation in Compact Polarimentric Interferometric SAR Data |
title_short |
Ground and Volume Scattering Separation in Compact Polarimentric Interferometric SAR Data |
title_full |
Ground and Volume Scattering Separation in Compact Polarimentric Interferometric SAR Data |
title_fullStr |
Ground and Volume Scattering Separation in Compact Polarimentric Interferometric SAR Data |
title_full_unstemmed |
Ground and Volume Scattering Separation in Compact Polarimentric Interferometric SAR Data |
title_sort |
ground and volume scattering separation in compact polarimentric interferometric sar data |
publishDate |
2022 |
url |
https://elib.dlr.de/188444/ https://elib.dlr.de/188444/1/URSI_RCRS_2022_SD.pdf |
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Northern Sweden |
genre_facet |
Northern Sweden |
op_relation |
https://elib.dlr.de/188444/1/URSI_RCRS_2022_SD.pdf Dey, Subhadip und Bhogapurapu, Narayanarao und Bhattacharya, Avik (2022) Ground and Volume Scattering Separation in Compact Polarimentric Interferometric SAR Data. In: 2022 URSI Regional Conference on Radio Science, USRI-RCRS 2022. URSI - RCRS 2022, 2022-12-01 - 2022-12-04, Indian Institute of Technology (IIT), Indore, India. doi:10.23919/URSI-RCRS56822.2022.10118450 <https://doi.org/10.23919/URSI-RCRS56822.2022.10118450>. ISBN 978-946396808-9. |
op_doi |
https://doi.org/10.23919/URSI-RCRS56822.2022.10118450 |
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2022 URSI Regional Conference on Radio Science (USRI-RCRS) |
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