MAPSAR Image Simulation Based on L-band Polarimetric Data from the SAR-R99B Airborne Sensor (SIVAM System)

This paper describes the methodology applied to generate simulated multipolarized L-band SAR images of the MAPSAR (Multi-Application Purpose SAR) satellite from the airborne SAR R99B sensor (SIVAM System). MAPSAR is a feasibility study conducted by INPE (National Institute for Space Research) and DL...

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Detalles Bibliográficos
Autores principales: Mura, José Claudio, Paradella, Waldir Renato, Dutra, Luciano Vieira, dos Santos, João Roberto, Rudorff, Bernardo Friedrich Theodor, de Miranda, Fernando Pellon, da Silva, Mario Marcos Quintino, da Silva, Wagner Fernando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280736/
https://www.ncbi.nlm.nih.gov/pubmed/22389590
http://dx.doi.org/10.3390/s90100102
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author Mura, José Claudio
Paradella, Waldir Renato
Dutra, Luciano Vieira
dos Santos, João Roberto
Rudorff, Bernardo Friedrich Theodor
de Miranda, Fernando Pellon
da Silva, Mario Marcos Quintino
da Silva, Wagner Fernando
author_facet Mura, José Claudio
Paradella, Waldir Renato
Dutra, Luciano Vieira
dos Santos, João Roberto
Rudorff, Bernardo Friedrich Theodor
de Miranda, Fernando Pellon
da Silva, Mario Marcos Quintino
da Silva, Wagner Fernando
author_sort Mura, José Claudio
collection PubMed
description This paper describes the methodology applied to generate simulated multipolarized L-band SAR images of the MAPSAR (Multi-Application Purpose SAR) satellite from the airborne SAR R99B sensor (SIVAM System). MAPSAR is a feasibility study conducted by INPE (National Institute for Space Research) and DLR (German Aerospace Center) targeting a satellite L-band SAR innovative mission for assessment, management and monitoring of natural resources. Examples of simulated products and their applications are briefly discussed.
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spelling pubmed-32807362012-03-02 MAPSAR Image Simulation Based on L-band Polarimetric Data from the SAR-R99B Airborne Sensor (SIVAM System) Mura, José Claudio Paradella, Waldir Renato Dutra, Luciano Vieira dos Santos, João Roberto Rudorff, Bernardo Friedrich Theodor de Miranda, Fernando Pellon da Silva, Mario Marcos Quintino da Silva, Wagner Fernando Sensors (Basel) Article This paper describes the methodology applied to generate simulated multipolarized L-band SAR images of the MAPSAR (Multi-Application Purpose SAR) satellite from the airborne SAR R99B sensor (SIVAM System). MAPSAR is a feasibility study conducted by INPE (National Institute for Space Research) and DLR (German Aerospace Center) targeting a satellite L-band SAR innovative mission for assessment, management and monitoring of natural resources. Examples of simulated products and their applications are briefly discussed. Molecular Diversity Preservation International (MDPI) 2009-01-07 /pmc/articles/PMC3280736/ /pubmed/22389590 http://dx.doi.org/10.3390/s90100102 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Mura, José Claudio
Paradella, Waldir Renato
Dutra, Luciano Vieira
dos Santos, João Roberto
Rudorff, Bernardo Friedrich Theodor
de Miranda, Fernando Pellon
da Silva, Mario Marcos Quintino
da Silva, Wagner Fernando
MAPSAR Image Simulation Based on L-band Polarimetric Data from the SAR-R99B Airborne Sensor (SIVAM System)
title MAPSAR Image Simulation Based on L-band Polarimetric Data from the SAR-R99B Airborne Sensor (SIVAM System)
title_full MAPSAR Image Simulation Based on L-band Polarimetric Data from the SAR-R99B Airborne Sensor (SIVAM System)
title_fullStr MAPSAR Image Simulation Based on L-band Polarimetric Data from the SAR-R99B Airborne Sensor (SIVAM System)
title_full_unstemmed MAPSAR Image Simulation Based on L-band Polarimetric Data from the SAR-R99B Airborne Sensor (SIVAM System)
title_short MAPSAR Image Simulation Based on L-band Polarimetric Data from the SAR-R99B Airborne Sensor (SIVAM System)
title_sort mapsar image simulation based on l-band polarimetric data from the sar-r99b airborne sensor (sivam system)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280736/
https://www.ncbi.nlm.nih.gov/pubmed/22389590
http://dx.doi.org/10.3390/s90100102
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