Radar imaging comparison methods

Descripción del Articulo

Poster presented at the 2021 CEDAR Virtual Workshop, June 20-25.
Detalles Bibliográficos
Autores: Yupanqui, Diego, Milla, Marco, Kuyeng, Karim, Ocaña, Eladio, Oré, Ernesto
Formato: objeto de conferencia
Fecha de Publicación:2021
Institución:Instituto Geofísico del Perú
Repositorio:IGP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.igp.gob.pe:20.500.12816/4966
Enlace del recurso:http://hdl.handle.net/20.500.12816/4966
Nivel de acceso:acceso abierto
Materia:Radar imaging
Inverse problem
Spread-F
Compressed sensing
Wavelets
https://purl.org/pe-repo/ocde/ford#1.05.01
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dc.title.es_ES.fl_str_mv Radar imaging comparison methods
title Radar imaging comparison methods
spellingShingle Radar imaging comparison methods
Yupanqui, Diego
Radar imaging
Inverse problem
Spread-F
Compressed sensing
Wavelets
https://purl.org/pe-repo/ocde/ford#1.05.01
title_short Radar imaging comparison methods
title_full Radar imaging comparison methods
title_fullStr Radar imaging comparison methods
title_full_unstemmed Radar imaging comparison methods
title_sort Radar imaging comparison methods
author Yupanqui, Diego
author_facet Yupanqui, Diego
Milla, Marco
Kuyeng, Karim
Ocaña, Eladio
Oré, Ernesto
author_role author
author2 Milla, Marco
Kuyeng, Karim
Ocaña, Eladio
Oré, Ernesto
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Yupanqui, Diego
Milla, Marco
Kuyeng, Karim
Ocaña, Eladio
Oré, Ernesto
dc.subject.es_ES.fl_str_mv Radar imaging
Inverse problem
Spread-F
Compressed sensing
Wavelets
topic Radar imaging
Inverse problem
Spread-F
Compressed sensing
Wavelets
https://purl.org/pe-repo/ocde/ford#1.05.01
dc.subject.ocde.es_ES.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.05.01
description Poster presented at the 2021 CEDAR Virtual Workshop, June 20-25.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-07-09T14:38:35Z
dc.date.available.none.fl_str_mv 2021-07-09T14:38:35Z
dc.date.issued.fl_str_mv 2021-06
dc.type.es_ES.fl_str_mv info:eu-repo/semantics/conferenceObject
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dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12816/4966
url http://hdl.handle.net/20.500.12816/4966
dc.language.iso.es_ES.fl_str_mv eng
language eng
dc.rights.es_ES.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.es_ES.fl_str_mv application/pdf
dc.publisher.es_ES.fl_str_mv Instituto Geofísico del Perú
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spelling Yupanqui, DiegoMilla, MarcoKuyeng, KarimOcaña, EladioOré, Ernesto2021-07-09T14:38:35Z2021-07-09T14:38:35Z2021-06http://hdl.handle.net/20.500.12816/4966Poster presented at the 2021 CEDAR Virtual Workshop, June 20-25.In this work, we are conducting a comparison of different methods to solve a one-dimensional aperture-synthesis radar imaging problem based on simulations. For this purpose, we are going to consider the geometry of the Jicamarca ionospheric radar. These methods are going to be applied to the generation of images of field-aligned plasma irregularities in the equatorial ionosphere, particularly, to the case of Spread-F phenomena. The methods used in the comparison goes from a direct Fourier inversion and a simple numerical integration, to more elaborated algorithms, such as, Capon’s method and Maximum entropy method. We are also going to include in the comparison, the compressed sensing technique using the Haar and dab4 basis, in this case, we are assuming that the brightness function of the spread-F echoes has a sparse representation. In the simulations of the radar measurements, we are considering Gaussian shape brightness functions. The different methods will be compared based on some metrics of the reconstructed images.application/pdfengInstituto Geofísico del Perúinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/Radar imagingInverse problemSpread-FCompressed sensingWaveletshttps://purl.org/pe-repo/ocde/ford#1.05.01Radar imaging comparison methodsinfo:eu-repo/semantics/conferenceObjectreponame:IGP-Institucionalinstname:Instituto Geofísico del Perúinstacron:IGPORIGINALPoster_Yupanqui_et_al_2021.pdfPoster_Yupanqui_et_al_2021.pdfapplication/pdf864420https://repositorio.igp.gob.pe/bitstreams/89539b6c-8fff-46a4-bf7b-cb4ef2d50ce0/download8ed730cc18d1b99f4047eb35018cfa41MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.igp.gob.pe/bitstreams/a705055c-5f23-4e0f-8cab-e955fc09b148/download8a4605be74aa9ea9d79846c1fba20a33MD52TEXTPoster_Yupanqui_et_al_2021.pdf.txtPoster_Yupanqui_et_al_2021.pdf.txtExtracted texttext/plain9264https://repositorio.igp.gob.pe/bitstreams/cc0390c7-fd8e-42bc-95a7-e0f997c6ed48/download5e31b28e24f286664da93b15eb032c83MD53THUMBNAILPoster_Yupanqui_et_al_2021.pdf.jpgPoster_Yupanqui_et_al_2021.pdf.jpgIM Thumbnailimage/jpeg113397https://repositorio.igp.gob.pe/bitstreams/23559390-c45f-4447-aeee-5b12d7f09130/download01a00bf501539f1b7346c33611800541MD5420.500.12816/4966oai:repositorio.igp.gob.pe:20.500.12816/49662021-07-09 14:43:22.988https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.igp.gob.peRepositorio Geofísico del Perudspace-help@myu.eduTk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo=
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Radar imaging comparison methods
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