{"id":"https://openalex.org/W2984690414","doi":"https://doi.org/10.1109/igarss.2019.8897906","title":"Bitemporal Fully Polarimetric Sar Images Change Detection Via Nearest Regularized Joint Sparse and Transfer Dictionary Learning","display_name":"Bitemporal Fully Polarimetric Sar Images Change Detection Via Nearest Regularized Joint Sparse and Transfer Dictionary Learning","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2984690414","doi":"https://doi.org/10.1109/igarss.2019.8897906","mag":"2984690414"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8897906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8897906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100976740","display_name":"Yao Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Tan","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100782349","display_name":"Jichao Li","orcid":"https://orcid.org/0000-0003-0473-7643"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jichao Li","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102282895","display_name":"Peiyang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiyang Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017247607","display_name":"Shuiping Gou","orcid":"https://orcid.org/0000-0002-2619-6481"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuiping Gou","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396024","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0002-3825-6365"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101504770","display_name":"Yuanbo Chen","orcid":"https://orcid.org/0000-0002-7006-2229"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuanbo Chen","raw_affiliation_strings":["Beijing Huahang Radio Measurement and Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Huahang Radio Measurement and Research Institute, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362822","display_name":"Jiawei Chen","orcid":"https://orcid.org/0000-0002-8195-1582"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia-Wei Chen","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101529272","display_name":"Changyan Sun","orcid":"https://orcid.org/0000-0002-3251-4992"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changyan Sun","raw_affiliation_strings":["Beijing Huahang Radio Measurement and Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Huahang Radio Measurement and Research Institute, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.991599977016449,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.745110273361206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7374954223632812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6686140298843384},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6421815752983093},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6204754114151001},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6112446784973145},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5221298336982727},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4693252444267273},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4686068296432495},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4612210690975189},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.4271993041038513},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32001516222953796},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.2736522853374481},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07692566514015198}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.745110273361206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374954223632812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6686140298843384},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6421815752983093},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6204754114151001},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6112446784973145},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5221298336982727},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4693252444267273},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4686068296432495},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4612210690975189},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.4271993041038513},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32001516222953796},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2736522853374481},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07692566514015198},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8897906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8897906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1974024703","https://openalex.org/W2000445122","https://openalex.org/W2015695644","https://openalex.org/W2117853853","https://openalex.org/W2160547390","https://openalex.org/W2164278908","https://openalex.org/W2165698076","https://openalex.org/W2329199628","https://openalex.org/W2563613133","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2026860918","https://openalex.org/W2035593284","https://openalex.org/W2568858292","https://openalex.org/W2225281849","https://openalex.org/W2612145225","https://openalex.org/W2161058488","https://openalex.org/W2059660610","https://openalex.org/W1515964938","https://openalex.org/W2324949438","https://openalex.org/W2389381914"],"abstract_inverted_index":{"Most":[0],"current":[1],"synthetic":[2],"aperture":[3],"radar":[4],"(SAR)":[5],"images":[6,28,70],"change":[7,29],"detection":[8,30],"methods":[9],"are":[10],"developed":[11,47],"based":[12,32],"on":[13,33],"a":[14,22,38,60],"difference":[15],"image.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20],"propose":[21],"novel":[23],"bitemporal":[24,68],"polarmetric":[25],"SAR":[26],"(PolSAR)":[27],"framework":[31],"their":[34],"land-covers":[35],"classifications.":[36,71],"First,":[37],"nearest":[39],"regularized":[40],"joint":[41],"sparse":[42],"representation":[43],"(NRJSR)":[44],"model":[45],"is":[46,65],"to":[48],"exploit":[49],"the":[50,73,91],"correlations":[51],"among":[52],"various":[53],"polarimetric":[54],"information":[55],"and":[56],"spatial":[57],"context.":[58],"Next,":[59],"transfer":[61],"dictionary":[62],"learning":[63],"method":[64],"proposed":[66,92],"for":[67],"PolSAR":[69],"Finally,":[72],"changed":[74],"map":[75],"can":[76],"be":[77],"obtained":[78],"by":[79],"comparing":[80],"these":[81],"two":[82],"classification":[83],"results.":[84],"The":[85],"comparison":[86],"experiment":[87],"results":[88],"show":[89],"that":[90],"algorithm":[93],"obtains":[94],"better":[95],"performance.":[96]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
