{"id":"https://openalex.org/W2098704499","doi":"https://doi.org/10.1109/igarss.2004.1368990","title":"Improvement of polarimetric SAR Calibration based on the Quegan algorithm","display_name":"Improvement of polarimetric SAR Calibration based on the Quegan algorithm","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2098704499","doi":"https://doi.org/10.1109/igarss.2004.1368990","mag":"2098704499"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2004.1368990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1368990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036353568","display_name":"Hiroshi Kimura","orcid":"https://orcid.org/0000-0001-8063-5660"},"institutions":[{"id":"https://openalex.org/I42405503","display_name":"Gifu University","ror":"https://ror.org/024exxj48","country_code":"JP","type":"education","lineage":["https://openalex.org/I42405503"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"H. Kimura","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Gifu University, Gifu, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Gifu University, Gifu, Japan","institution_ids":["https://openalex.org/I42405503"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049914036","display_name":"Takahide Mizuno","orcid":"https://orcid.org/0000-0003-2494-5319"},"institutions":[{"id":"https://openalex.org/I42405503","display_name":"Gifu University","ror":"https://ror.org/024exxj48","country_code":"JP","type":"education","lineage":["https://openalex.org/I42405503"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Mizuno","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Gifu University, Gifu, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Gifu University, Gifu, Japan","institution_ids":["https://openalex.org/I42405503"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106764560","display_name":"Kostas Papathanassiou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090867","display_name":"Fraunhofer Institute for High Frequency Physics and Radar Techniques","ror":"https://ror.org/00a6rw165","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210090867","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"K.P. Papathanassiou","raw_affiliation_strings":["DLR, Institute of Radar Frequency Technology and Radar System, Oberpfaffenhofen, Germany"],"affiliations":[{"raw_affiliation_string":"DLR, Institute of Radar Frequency Technology and Radar System, Oberpfaffenhofen, Germany","institution_ids":["https://openalex.org/I4210090867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053177233","display_name":"Irena Hajnsek","orcid":"https://orcid.org/0000-0002-0926-3283"},"institutions":[{"id":"https://openalex.org/I4210090867","display_name":"Fraunhofer Institute for High Frequency Physics and Radar Techniques","ror":"https://ror.org/00a6rw165","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210090867","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"I. Hajnsek","raw_affiliation_strings":["DLR, Institute of Radar Frequency Technology and Radar System, Oberpfaffenhofen, Germany"],"affiliations":[{"raw_affiliation_string":"DLR, Institute of Radar Frequency Technology and Radar System, Oberpfaffenhofen, Germany","institution_ids":["https://openalex.org/I4210090867"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036353568"],"corresponding_institution_ids":["https://openalex.org/I42405503"],"apc_list":null,"apc_paid":null,"fwci":2.3101,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.88633654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"1","issue":null,"first_page":"184","last_page":"187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.8554026484489441},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.7097371816635132},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6461334228515625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5647662281990051},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.485823392868042},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4670153260231018},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4449703097343445},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36958858370780945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3090789020061493},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1752036213874817},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16974270343780518},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.14273130893707275},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13480916619300842},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.0900181233882904},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.05619591474533081},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05151459574699402}],"concepts":[{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.8554026484489441},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.7097371816635132},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6461334228515625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5647662281990051},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.485823392868042},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4670153260231018},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4449703097343445},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36958858370780945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3090789020061493},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1752036213874817},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16974270343780518},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14273130893707275},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13480916619300842},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.0900181233882904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.05619591474533081},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05151459574699402},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2004.1368990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1368990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334900","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1992270258","https://openalex.org/W2075475458","https://openalex.org/W2133989913","https://openalex.org/W2148043654","https://openalex.org/W2171284705","https://openalex.org/W2509614482"],"related_works":["https://openalex.org/W2128375209","https://openalex.org/W2146633455","https://openalex.org/W1997204484","https://openalex.org/W2611496640","https://openalex.org/W2031735985","https://openalex.org/W2012086173","https://openalex.org/W2034408232","https://openalex.org/W2052541749","https://openalex.org/W2118282903","https://openalex.org/W2033298153"],"abstract_inverted_index":{"The":[0,72],"polarimetric":[1,23,27,93],"cross-talk":[2,59,78],"calibration":[3],"algorithm":[4,55],"proposed":[5,15],"by":[6,16,31],"Quegan,":[7],"which":[8],"is":[9,19,84],"more":[10],"general":[11],"than":[12],"the":[13,32,53,58],"one":[14],"van":[17],"Zyl,":[18],"modified":[20],"to":[21],"improve":[22],"SAR":[24,28],"calibration.":[25],"L-band":[26],"data":[29],"acquired":[30],"JAXA/NICT":[33],"airborne":[34],"Pi-SAR,":[35],"including":[36],"a":[37],"variety":[38],"of":[39,49,77,88],"natural":[40],"and":[41,56,68,81,92],"artificial":[42],"targets,":[43],"are":[44],"calibrated":[45],"introducing":[46],"noise":[47],"imbalance":[48],"cross-polarized":[50,69],"channels":[51],"into":[52],"Quegan":[54],"deriving":[57],"parameters":[60],"from":[61],"areas":[62],"with":[63],"low":[64],"correlation":[65],"between":[66],"like":[67],"observed":[70],"echoes.":[71],"achieved":[73],"enhancement":[74],"in":[75,86],"stability":[76],"parameter":[79],"estimation":[80],"removal":[82],"over":[83],"demonstrated":[85],"terms":[87],"CR":[89],"response":[90],"analysis":[91],"classification":[94],"result":[95]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}