{"id":"https://openalex.org/W4395009820","doi":"https://doi.org/10.3390/rs16081464","title":"Integrating Optical and SAR Time Series Images for Unsupervised Domain Adaptive Crop Mapping","display_name":"Integrating Optical and SAR Time Series Images for Unsupervised Domain Adaptive Crop Mapping","publication_year":2024,"publication_date":"2024-04-20","ids":{"openalex":"https://openalex.org/W4395009820","doi":"https://doi.org/10.3390/rs16081464"},"language":"en","primary_location":{"id":"doi:10.3390/rs16081464","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16081464","pdf_url":"https://www.mdpi.com/2072-4292/16/8/1464/pdf?version=1713611554","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/8/1464/pdf?version=1713611554","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108702022","display_name":"Luwei Feng","orcid":"https://orcid.org/0009-0004-3181-6018"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luwei Feng","raw_affiliation_strings":["Key Laboratory of Digital Mapping and Land Information Application, Ministry of Natural Resources, Wuhan 430079, China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Mapping and Land Information Application, Ministry of Natural Resources, Wuhan 430079, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020855570","display_name":"Dawei Gui","orcid":"https://orcid.org/0000-0002-9176-8415"},"institutions":[{"id":"https://openalex.org/I4210126705","display_name":"Guangzhou Urban Planning Survey & Design Institute","ror":"https://ror.org/02crg7060","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210126705"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Gui","raw_affiliation_strings":["Guangdong Enterprise Key Laboratory for Urban Sensing, Monitoring and Early Warning, Guangzhou 510060, China","Guangzhou Urban Planning & Design Survey Research Institute Co., Ltd., Guangzhou 510060, China","Guangzhou Urban Planning & Design Survey Research Institute Co., Ltd., Guangzhou 510060, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Enterprise Key Laboratory for Urban Sensing, Monitoring and Early Warning, Guangzhou 510060, China","institution_ids":[]},{"raw_affiliation_string":"Guangzhou Urban Planning & Design Survey Research Institute Co., Ltd., Guangzhou 510060, China","institution_ids":["https://openalex.org/I4210126705"]},{"raw_affiliation_string":"Guangzhou Urban Planning & Design Survey Research Institute Co., Ltd., Guangzhou 510060, China;","institution_ids":["https://openalex.org/I4210126705"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048425880","display_name":"Shanshan Han","orcid":"https://orcid.org/0000-0002-1133-3295"},"institutions":[{"id":"https://openalex.org/I4210126705","display_name":"Guangzhou Urban Planning Survey & Design Institute","ror":"https://ror.org/02crg7060","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210126705"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Han","raw_affiliation_strings":["Guangdong Enterprise Key Laboratory for Urban Sensing, Monitoring and Early Warning, Guangzhou 510060, China","Guangzhou Urban Planning & Design Survey Research Institute Co., Ltd., Guangzhou 510060, China","Guangzhou Urban Planning & Design Survey Research Institute Co., Ltd., Guangzhou 510060, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Enterprise Key Laboratory for Urban Sensing, Monitoring and Early Warning, Guangzhou 510060, China","institution_ids":[]},{"raw_affiliation_string":"Guangzhou Urban Planning & Design Survey Research Institute Co., Ltd., Guangzhou 510060, China","institution_ids":["https://openalex.org/I4210126705"]},{"raw_affiliation_string":"Guangzhou Urban Planning & Design Survey Research Institute Co., Ltd., Guangzhou 510060, China;","institution_ids":["https://openalex.org/I4210126705"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088106179","display_name":"Tianqi Qiu","orcid":"https://orcid.org/0000-0003-2124-9983"},"institutions":[{"id":"https://openalex.org/I4210126705","display_name":"Guangzhou Urban Planning Survey & Design Institute","ror":"https://ror.org/02crg7060","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210126705"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianqi Qiu","raw_affiliation_strings":["Guangdong Enterprise Key Laboratory for Urban Sensing, Monitoring and Early Warning, Guangzhou 510060, China","Guangzhou Urban Planning & Design Survey Research Institute Co., Ltd., Guangzhou 510060, China","Guangzhou Urban Planning & Design Survey Research Institute Co., Ltd., Guangzhou 510060, China;"],"raw_orcid":"https://orcid.org/0000-0003-2124-9983","affiliations":[{"raw_affiliation_string":"Guangdong Enterprise Key Laboratory for Urban Sensing, Monitoring and Early Warning, Guangzhou 510060, China","institution_ids":[]},{"raw_affiliation_string":"Guangzhou Urban Planning & Design Survey Research Institute Co., Ltd., Guangzhou 510060, China","institution_ids":["https://openalex.org/I4210126705"]},{"raw_affiliation_string":"Guangzhou Urban Planning & Design Survey Research Institute Co., Ltd., Guangzhou 510060, China;","institution_ids":["https://openalex.org/I4210126705"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061527815","display_name":"Yumiao Wang","orcid":"https://orcid.org/0000-0002-0980-5353"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yumiao Wang","raw_affiliation_strings":["Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China"],"raw_orcid":"https://orcid.org/0000-0002-0980-5353","affiliations":[{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061527815"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":6.8436,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.96402234,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":"8","first_page":"1464","last_page":"1464"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6382112503051758},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5923274159431458},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.563409149646759},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4475572109222412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32434844970703125},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18229669332504272},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16891855001449585}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6382112503051758},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5923274159431458},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.563409149646759},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4475572109222412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32434844970703125},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18229669332504272},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16891855001449585},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16081464","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16081464","pdf_url":"https://www.mdpi.com/2072-4292/16/8/1464/pdf?version=1713611554","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7b6d7fe6c1d34e71954ab1592761d3c4","is_oa":true,"landing_page_url":"https://doaj.org/article/7b6d7fe6c1d34e71954ab1592761d3c4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 8, p 1464 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16081464","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16081464","pdf_url":"https://www.mdpi.com/2072-4292/16/8/1464/pdf?version=1713611554","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.6100000143051147,"display_name":"Zero hunger"}],"awards":[{"id":"https://openalex.org/G1132303823","display_name":null,"funder_award_id":"2023M742679","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G1283041115","display_name":null,"funder_award_id":"2023S102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1387884760","display_name":null,"funder_award_id":"42201354","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G200445020","display_name":null,"funder_award_id":"42201354","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G2568572531","display_name":null,"funder_award_id":"LQ22D010007","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G2611541230","display_name":null,"funder_award_id":"ZRZYBWD202306","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2749086768","display_name":null,"funder_award_id":"2022J076","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G306367692","display_name":null,"funder_award_id":"2023M742679","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3791251167","display_name":null,"funder_award_id":"ZRZYBWD202306","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3992197166","display_name":null,"funder_award_id":"2022S101","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4170676565","display_name":null,"funder_award_id":"2022J076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4283004715","display_name":null,"funder_award_id":"2021Z107","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G4292173123","display_name":null,"funder_award_id":"LQ22D010007","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4338139693","display_name":null,"funder_award_id":"2023S102","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G5514585164","display_name":null,"funder_award_id":"LQ22D010007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5526634027","display_name":null,"funder_award_id":"2022Z032","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5658660871","display_name":null,"funder_award_id":"2022J076","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G60611400","display_name":null,"funder_award_id":"42201354","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6259197068","display_name":null,"funder_award_id":"2022Z032","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6273247363","display_name":null,"funder_award_id":"2022S101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6437814733","display_name":null,"funder_award_id":"LQ22D010007","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G6446722998","display_name":null,"funder_award_id":"2021Z107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G663354341","display_name":null,"funder_award_id":"2023S102","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6749233689","display_name":null,"funder_award_id":"2022Z032","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G6900760614","display_name":null,"funder_award_id":"2023M742679","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G731215577","display_name":null,"funder_award_id":"ZRZYBWD202306","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G7542163682","display_name":null,"funder_award_id":"2022S101","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G8168167863","display_name":null,"funder_award_id":"2021Z107","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4395009820.pdf"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W1994490949","https://openalex.org/W2008085934","https://openalex.org/W2063623478","https://openalex.org/W2114832532","https://openalex.org/W2115403315","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2514863413","https://openalex.org/W2531789853","https://openalex.org/W2565258258","https://openalex.org/W2604086375","https://openalex.org/W2612601779","https://openalex.org/W2623518586","https://openalex.org/W2725897987","https://openalex.org/W2728388975","https://openalex.org/W2734691593","https://openalex.org/W2745131289","https://openalex.org/W2765739551","https://openalex.org/W2766696621","https://openalex.org/W2785681726","https://openalex.org/W2791592925","https://openalex.org/W2801581493","https://openalex.org/W2869138134","https://openalex.org/W2883102714","https://openalex.org/W2884585870","https://openalex.org/W2903282641","https://openalex.org/W2903917280","https://openalex.org/W2904209271","https://openalex.org/W2912813928","https://openalex.org/W2922412082","https://openalex.org/W2943595298","https://openalex.org/W2945987083","https://openalex.org/W2963391824","https://openalex.org/W2963995737","https://openalex.org/W2968521248","https://openalex.org/W2981830988","https://openalex.org/W2995342911","https://openalex.org/W3008279115","https://openalex.org/W3018158283","https://openalex.org/W3021632667","https://openalex.org/W3026839580","https://openalex.org/W3033405082","https://openalex.org/W3037002701","https://openalex.org/W3045755298","https://openalex.org/W3047260603","https://openalex.org/W3106828477","https://openalex.org/W3125947825","https://openalex.org/W3127347439","https://openalex.org/W3131940572","https://openalex.org/W3137327109","https://openalex.org/W3138000966","https://openalex.org/W3158568413","https://openalex.org/W3165822366","https://openalex.org/W3183668645","https://openalex.org/W3205560526","https://openalex.org/W3215242937","https://openalex.org/W4214866625","https://openalex.org/W4220917101","https://openalex.org/W4286252818","https://openalex.org/W4296363035","https://openalex.org/W4297369021","https://openalex.org/W4313214158","https://openalex.org/W4313419944","https://openalex.org/W6649054543","https://openalex.org/W6757029700","https://openalex.org/W6762054250","https://openalex.org/W6771866686","https://openalex.org/W6778213560","https://openalex.org/W6779637367","https://openalex.org/W6791091864","https://openalex.org/W6797936957"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Accurate":[0],"crop":[1,15,33,42,82,326],"mapping":[2,16],"is":[3,56,117],"crucial":[4],"for":[5],"ensuring":[6],"food":[7],"security.":[8],"Recently,":[9],"many":[10],"studies":[11],"have":[12],"developed":[13],"diverse":[14],"models":[17,24,228,249],"based":[18],"on":[19,27],"deep":[20,80,222],"learning.":[21],"However,":[22],"these":[23],"generally":[25],"rely":[26],"a":[28,77,102,134,136,140,151,164,171,255,290],"large":[29],"amount":[30],"of":[31,44,184,194,259,284,293,311],"labeled":[32,161,332],"samples":[34,46,162,169,183,333],"to":[35,61,65,106,122,150,177,323],"investigate":[36],"the":[37,41,45,48,66,120,155,160,178,185,192,195,201,207,218,238,244,267,272,278,282,294,297,308],"intricate":[38],"relationship":[39],"between":[40,68,128],"types":[43],"and":[47,70,98,124,130,167,210,224,254,262,286,317],"corresponding":[49],"remote":[50,314],"sensing":[51,315],"features.":[52,304],"Moreover,":[53,281],"their":[54],"efficacy":[55],"often":[57],"compromised":[58],"when":[59,148],"applied":[60,149],"other":[62,248],"areas":[63,330],"owing":[64],"disparities":[67],"source":[69,129,141,165,208],"target":[71,131,152,172,186,219,245,298],"data.":[72],"To":[73,190],"address":[74],"this":[75,89],"issue,":[76],"new":[78],"multi-modal":[79,313],"adaptation":[81],"classification":[83,109],"network":[84],"(MDACCN)":[85],"was":[86,204,215],"proposed":[87,196],"in":[88,139,200,213,243,296,329],"study.":[90],"Specifically,":[91],"MDACCN":[92,158,239,273],"synergistically":[93],"exploits":[94],"time":[95],"series":[96],"optical":[97,285],"SAR":[99,287],"images":[100],"using":[101,302],"middle":[103],"fusion":[104],"strategy":[105],"achieve":[107],"good":[108],"capacity.":[110],"Additionally,":[111],"local":[112],"maximum":[113],"mean":[114],"discrepancy":[115],"(LMMD)":[116],"embedded":[118],"into":[119],"model":[121,138,295],"measure":[123],"decrease":[125],"domain":[126,142,166,187,299,320],"discrepancies":[127],"domains.":[132],"As":[133],"result,":[135],"well-trained":[137],"can":[143],"still":[144],"maintain":[145],"satisfactory":[146],"accuracy":[147],"domain.":[153,173,220],"In":[154,265],"training":[156],"process,":[157,180],"incorporates":[159],"from":[163,170],"unlabeled":[168,182],"When":[174],"it":[175],"comes":[176],"inference":[179],"only":[181],"are":[188,334],"required.":[189],"assess":[191],"validity":[193],"model,":[197],"Arkansas":[198],"State":[199],"United":[202],"States":[203],"chosen":[205,230],"as":[206,217,231],"domain,":[209,246],"Heilongjiang":[211],"Province":[212],"China":[214],"selected":[216],"Supervised":[221],"learning":[223,227],"traditional":[225],"machine":[226],"were":[229],"comparison":[232],"models.":[233],"The":[234],"results":[235],"indicated":[236,307],"that":[237],"achieved":[240],"inspiring":[241],"performance":[242],"surpassing":[247],"with":[250,277,301],"overall":[251],"accuracy,":[252],"Kappa,":[253],"macro-averaged":[256],"F1":[257],"score":[258],"0.878,":[260],"0.810,":[261],"0.746,":[263],"respectively.":[264],"addition,":[266],"crop-type":[268],"maps":[269],"produced":[270],"by":[271],"exhibited":[274,289],"greater":[275],"consistency":[276],"reference":[279],"maps.":[280],"integration":[283],"features":[288],"substantial":[291],"improvement":[292],"compared":[300],"single-modal":[303],"This":[305],"study":[306],"considerable":[309],"potential":[310],"combining":[312],"data":[316],"an":[318],"unsupervised":[319],"adaptive":[321],"approach":[322],"provide":[324],"reliable":[325],"distribution":[327],"information":[328],"where":[331],"missing.":[335]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-05T09:01:59.212387","created_date":"2025-10-10T00:00:00"}