{"id":"https://openalex.org/W4402262792","doi":"https://doi.org/10.1109/igarss53475.2024.10640570","title":"Utilizing Multisource Data: Inversion of Surface Texture Parameters and Generation of Multi-Angle SAR Images Through Physical Models","display_name":"Utilizing Multisource Data: Inversion of Surface Texture Parameters and Generation of Multi-Angle SAR Images Through Physical Models","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402262792","doi":"https://doi.org/10.1109/igarss53475.2024.10640570"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10640570","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10640570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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/A5107905151","display_name":"Rui Li","orcid":"https://orcid.org/0009-0009-8136-4159"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210159154","display_name":"Yiwu Science and Technology Research Institute","ror":"https://ror.org/04kvstc88","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210159154","https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Li","raw_affiliation_strings":["Yiwu Research Institute of Fudan University"],"affiliations":[{"raw_affiliation_string":"Yiwu Research Institute of Fudan University","institution_ids":["https://openalex.org/I4210159154","https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100616522","display_name":"Huiping Lin","orcid":"https://orcid.org/0000-0002-6393-0665"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiping Lin","raw_affiliation_strings":["Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (MoE),China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (MoE),China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102940563","display_name":"Jiangtao Wei","orcid":"https://orcid.org/0009-0000-6421-8859"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Wei","raw_affiliation_strings":["Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (MoE),China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (MoE),China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100616022","display_name":"Feng Xu","orcid":"https://orcid.org/0000-0003-0902-2858"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Xu","raw_affiliation_strings":["Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (MoE),China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (MoE),China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5107905151"],"corresponding_institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210159154"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07162924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3058","last_page":"3061"},"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":0.9757999777793884,"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":0.9757999777793884,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9577000141143799,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9485999941825867,"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/inversion","display_name":"Inversion (geology)","score":0.689979612827301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4720284044742584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4421563446521759},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4360579252243042},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4206281900405884},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4148518443107605},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.36922621726989746},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32595163583755493},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.07988834381103516}],"concepts":[{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.689979612827301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4720284044742584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4421563446521759},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4360579252243042},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4206281900405884},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4148518443107605},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36922621726989746},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32595163583755493},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.07988834381103516},{"id":"https://openalex.org/C77928131","wikidata":"https://www.wikidata.org/wiki/Q193343","display_name":"Tectonics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10640570","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10640570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2002687396","https://openalex.org/W2053937117","https://openalex.org/W2090664287","https://openalex.org/W2167370576","https://openalex.org/W2802827820","https://openalex.org/W3157762795","https://openalex.org/W3208957877","https://openalex.org/W4285203116","https://openalex.org/W4298338318","https://openalex.org/W4387829076"],"related_works":["https://openalex.org/W1980470275","https://openalex.org/W2086322839","https://openalex.org/W2121524756","https://openalex.org/W2344971351","https://openalex.org/W2363509351","https://openalex.org/W2377084220","https://openalex.org/W1990581988","https://openalex.org/W782553550","https://openalex.org/W2384206310","https://openalex.org/W4252699458"],"abstract_inverted_index":{"This":[0],"study":[1],"proposes":[2],"a":[3],"high-dimensional":[4],"characterization":[5],"framework":[6,16],"for":[7,60,74],"multi-scale":[8],"natural":[9],"objects":[10,32],"and":[11,53,76,101,111],"surfaces":[12],"scattering":[13,28,40,64],"properties.":[14,65],"The":[15],"employs":[17],"massive":[18],"multisource":[19],"remote":[20],"sensing":[21],"data":[22,106],"to":[23],"effectively":[24],"extract":[25],"the":[26,44,80,84,102],"polarization":[27],"properties":[29],"of":[30,63,79,83],"different":[31],"at":[33],"multiple":[34,96],"global":[35],"locations.":[36],"In":[37],"this":[38],"research,":[39],"models":[41],"such":[42],"as":[43,70],"Small":[45],"Perturbation":[46],"Method":[47],"(SPM),":[48],"Integral":[49],"Equation":[50],"Model":[51],"(IEM),":[52],"Vector":[54],"Radiative":[55],"Transfer":[56],"(VRT)":[57],"were":[58,99],"used":[59],"precise":[61],"fitting":[62,68],"Utilizing":[66],"these":[67],"results":[69],"initial":[71],"values":[72],"allows":[73],"stable":[75],"efficient":[77],"inversion":[78],"texture":[81,88],"parameters":[82],"scene.":[85],"Based":[86],"on":[87],"parameters,":[89],"Synthetic":[90],"Aperture":[91],"Radar":[92],"(SAR)":[93],"images":[94],"under":[95],"observation":[97],"angles":[98],"generated,":[100],"comparison":[103],"with":[104],"measurement":[105],"demonstrates":[107],"high":[108],"R":[109],"consistency":[110],"Pearson":[112],"correlation.":[113]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
