Processing, radiometric correction, autofocus and polarimetric classification of circular SAR data.
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Biblioteca Digital de Teses e Dissertações do ITA |
Texto Completo: | http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1083 |
Resumo: | The demand for high resolution SAR systems and also for imaging techniques to retrieve scene information on the third dimension have stimulated the development of new acquisition modes and processing approaches. This work studies one of the newest SAR acquisition modes being used, namely the Circular SAR, in which the platform follows a non-linear circular trajectory. A brief introduction of the acquisition geometry is present along with the advantages of this acquisition mode, such as the volumetric reconstruction capability, higher resolutions and the possibility to retrieve target information from a wider range of observation angles. To deal with the non-linearity of trajectory, a processing approach using the time domain back-projection algorithm is suggested to focus and radiometric correct the images, taking into account the antenna patterns and loss due to propagation. An existing autofocus approach to correct motion errors is validated for the circular SAR context and a new frequency domain approach is proposed. Once the images are processed and calibrated, a polarimetric analysis is presented. In this context, a new polarimetric classification methodology is proposed for the particular geometry under consideration. The method uses the H- plane and the information of the first eigenvalue to classify small sub-apertures of the circular trajectory and finally classify the entire 360 circular aperture. Using information of all sub-apertures it is possible to preserve information of directional targets and diminish the effects caused by topography defocusing on the classification. To obtain speckle reduction improving the classification algorithm a Lee adaptive filter is implemented. The processing calibration approaches and the classification methodology are validated with circular SAR real data acquired with the SAR systems from the German Aerospace Center (DLR). |
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Biblioteca Digital de Teses e Dissertações do ITA |
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Processing, radiometric correction, autofocus and polarimetric classification of circular SAR data.Radar de abertura sintéticaAquisição de dadosPolarização circularProcessamento de imagensCorreção radiométricaPolarimetriaClassificação de padrõesTeoria de filtragemTelecomunicaçõesEngenharia eletrônicaThe demand for high resolution SAR systems and also for imaging techniques to retrieve scene information on the third dimension have stimulated the development of new acquisition modes and processing approaches. This work studies one of the newest SAR acquisition modes being used, namely the Circular SAR, in which the platform follows a non-linear circular trajectory. A brief introduction of the acquisition geometry is present along with the advantages of this acquisition mode, such as the volumetric reconstruction capability, higher resolutions and the possibility to retrieve target information from a wider range of observation angles. To deal with the non-linearity of trajectory, a processing approach using the time domain back-projection algorithm is suggested to focus and radiometric correct the images, taking into account the antenna patterns and loss due to propagation. An existing autofocus approach to correct motion errors is validated for the circular SAR context and a new frequency domain approach is proposed. Once the images are processed and calibrated, a polarimetric analysis is presented. In this context, a new polarimetric classification methodology is proposed for the particular geometry under consideration. The method uses the H- plane and the information of the first eigenvalue to classify small sub-apertures of the circular trajectory and finally classify the entire 360 circular aperture. Using information of all sub-apertures it is possible to preserve information of directional targets and diminish the effects caused by topography defocusing on the classification. To obtain speckle reduction improving the classification algorithm a Lee adaptive filter is implemented. The processing calibration approaches and the classification methodology are validated with circular SAR real data acquired with the SAR systems from the German Aerospace Center (DLR).Instituto Tecnológico de AeronáuticaDavid FernandesMuriel Aline Pinheiro2010-10-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1083reponame:Biblioteca Digital de Teses e Dissertações do ITAinstname:Instituto Tecnológico de Aeronáuticainstacron:ITAenginfo:eu-repo/semantics/openAccessapplication/pdf2019-02-02T14:02:03Zoai:agregador.ibict.br.BDTD_ITA:oai:ita.br:1083http://oai.bdtd.ibict.br/requestopendoar:null2020-05-28 19:35:16.129Biblioteca Digital de Teses e Dissertações do ITA - Instituto Tecnológico de Aeronáuticatrue |
dc.title.none.fl_str_mv |
Processing, radiometric correction, autofocus and polarimetric classification of circular SAR data. |
title |
Processing, radiometric correction, autofocus and polarimetric classification of circular SAR data. |
spellingShingle |
Processing, radiometric correction, autofocus and polarimetric classification of circular SAR data. Muriel Aline Pinheiro Radar de abertura sintética Aquisição de dados Polarização circular Processamento de imagens Correção radiométrica Polarimetria Classificação de padrões Teoria de filtragem Telecomunicações Engenharia eletrônica |
title_short |
Processing, radiometric correction, autofocus and polarimetric classification of circular SAR data. |
title_full |
Processing, radiometric correction, autofocus and polarimetric classification of circular SAR data. |
title_fullStr |
Processing, radiometric correction, autofocus and polarimetric classification of circular SAR data. |
title_full_unstemmed |
Processing, radiometric correction, autofocus and polarimetric classification of circular SAR data. |
title_sort |
Processing, radiometric correction, autofocus and polarimetric classification of circular SAR data. |
author |
Muriel Aline Pinheiro |
author_facet |
Muriel Aline Pinheiro |
author_role |
author |
dc.contributor.none.fl_str_mv |
David Fernandes |
dc.contributor.author.fl_str_mv |
Muriel Aline Pinheiro |
dc.subject.por.fl_str_mv |
Radar de abertura sintética Aquisição de dados Polarização circular Processamento de imagens Correção radiométrica Polarimetria Classificação de padrões Teoria de filtragem Telecomunicações Engenharia eletrônica |
topic |
Radar de abertura sintética Aquisição de dados Polarização circular Processamento de imagens Correção radiométrica Polarimetria Classificação de padrões Teoria de filtragem Telecomunicações Engenharia eletrônica |
dc.description.none.fl_txt_mv |
The demand for high resolution SAR systems and also for imaging techniques to retrieve scene information on the third dimension have stimulated the development of new acquisition modes and processing approaches. This work studies one of the newest SAR acquisition modes being used, namely the Circular SAR, in which the platform follows a non-linear circular trajectory. A brief introduction of the acquisition geometry is present along with the advantages of this acquisition mode, such as the volumetric reconstruction capability, higher resolutions and the possibility to retrieve target information from a wider range of observation angles. To deal with the non-linearity of trajectory, a processing approach using the time domain back-projection algorithm is suggested to focus and radiometric correct the images, taking into account the antenna patterns and loss due to propagation. An existing autofocus approach to correct motion errors is validated for the circular SAR context and a new frequency domain approach is proposed. Once the images are processed and calibrated, a polarimetric analysis is presented. In this context, a new polarimetric classification methodology is proposed for the particular geometry under consideration. The method uses the H- plane and the information of the first eigenvalue to classify small sub-apertures of the circular trajectory and finally classify the entire 360 circular aperture. Using information of all sub-apertures it is possible to preserve information of directional targets and diminish the effects caused by topography defocusing on the classification. To obtain speckle reduction improving the classification algorithm a Lee adaptive filter is implemented. The processing calibration approaches and the classification methodology are validated with circular SAR real data acquired with the SAR systems from the German Aerospace Center (DLR). |
description |
The demand for high resolution SAR systems and also for imaging techniques to retrieve scene information on the third dimension have stimulated the development of new acquisition modes and processing approaches. This work studies one of the newest SAR acquisition modes being used, namely the Circular SAR, in which the platform follows a non-linear circular trajectory. A brief introduction of the acquisition geometry is present along with the advantages of this acquisition mode, such as the volumetric reconstruction capability, higher resolutions and the possibility to retrieve target information from a wider range of observation angles. To deal with the non-linearity of trajectory, a processing approach using the time domain back-projection algorithm is suggested to focus and radiometric correct the images, taking into account the antenna patterns and loss due to propagation. An existing autofocus approach to correct motion errors is validated for the circular SAR context and a new frequency domain approach is proposed. Once the images are processed and calibrated, a polarimetric analysis is presented. In this context, a new polarimetric classification methodology is proposed for the particular geometry under consideration. The method uses the H- plane and the information of the first eigenvalue to classify small sub-apertures of the circular trajectory and finally classify the entire 360 circular aperture. Using information of all sub-apertures it is possible to preserve information of directional targets and diminish the effects caused by topography defocusing on the classification. To obtain speckle reduction improving the classification algorithm a Lee adaptive filter is implemented. The processing calibration approaches and the classification methodology are validated with circular SAR real data acquired with the SAR systems from the German Aerospace Center (DLR). |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-10-28 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/masterThesis |
status_str |
publishedVersion |
format |
masterThesis |
dc.identifier.uri.fl_str_mv |
http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1083 |
url |
http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1083 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Instituto Tecnológico de Aeronáutica |
publisher.none.fl_str_mv |
Instituto Tecnológico de Aeronáutica |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Teses e Dissertações do ITA instname:Instituto Tecnológico de Aeronáutica instacron:ITA |
reponame_str |
Biblioteca Digital de Teses e Dissertações do ITA |
collection |
Biblioteca Digital de Teses e Dissertações do ITA |
instname_str |
Instituto Tecnológico de Aeronáutica |
instacron_str |
ITA |
institution |
ITA |
repository.name.fl_str_mv |
Biblioteca Digital de Teses e Dissertações do ITA - Instituto Tecnológico de Aeronáutica |
repository.mail.fl_str_mv |
|
subject_por_txtF_mv |
Radar de abertura sintética Aquisição de dados Polarização circular Processamento de imagens Correção radiométrica Polarimetria Classificação de padrões Teoria de filtragem Telecomunicações Engenharia eletrônica |
_version_ |
1706809265833902080 |