{"id":"https://openalex.org/W4390751375","doi":"https://doi.org/10.3390/rs16020296","title":"PolSAR Image Classification Based on Multi-Modal Contrastive Fully Convolutional Network","display_name":"PolSAR Image Classification Based on Multi-Modal Contrastive Fully Convolutional Network","publication_year":2024,"publication_date":"2024-01-11","ids":{"openalex":"https://openalex.org/W4390751375","doi":"https://doi.org/10.3390/rs16020296"},"language":"en","primary_location":{"id":"doi:10.3390/rs16020296","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020296","pdf_url":"https://www.mdpi.com/2072-4292/16/2/296/pdf?version=1704966713","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/2072-4292/16/2/296/pdf?version=1704966713","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039965985","display_name":"Wenqiang Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenqiang Hua","raw_affiliation_strings":["Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710061, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710061, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012915638","display_name":"Yi Wang","orcid":"https://orcid.org/0009-0005-9019-2169"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710061, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710061, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101583047","display_name":"Sijia Yang","orcid":"https://orcid.org/0009-0000-2721-3952"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijia Yang","raw_affiliation_strings":["Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710061, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710061, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015980295","display_name":"Xiaomin Jin","orcid":"https://orcid.org/0000-0003-4622-8361"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomin Jin","raw_affiliation_strings":["Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710061, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710061, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039965985"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":9.6532,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97019571,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"16","issue":"2","first_page":"296","last_page":"296"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9987999796867371,"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":0.9797999858856201,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8114370107650757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7270340919494629},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6278667449951172},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5922067165374756},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5826118588447571},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5786844491958618},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.44526734948158264},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.4425911009311676},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.211288720369339}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8114370107650757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7270340919494629},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6278667449951172},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5922067165374756},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5826118588447571},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5786844491958618},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.44526734948158264},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.4425911009311676},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.211288720369339}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs16020296","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020296","pdf_url":"https://www.mdpi.com/2072-4292/16/2/296/pdf?version=1704966713","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:727f855a5a0849edae38d3f730310233","is_oa":true,"landing_page_url":"https://doaj.org/article/727f855a5a0849edae38d3f730310233","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 2, p 296 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/16/2/296/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs16020296","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs16020296","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020296","pdf_url":"https://www.mdpi.com/2072-4292/16/2/296/pdf?version=1704966713","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/1","display_name":"No poverty","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1753970398","display_name":null,"funder_award_id":"19JK0798","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3391756025","display_name":null,"funder_award_id":"2019JQ-377","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6950518156","display_name":null,"funder_award_id":"61901368","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7578503073","display_name":null,"funder_award_id":"2019JQ-377","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G8249481150","display_name":null,"funder_award_id":"19JK0798","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G944445941","display_name":null,"funder_award_id":"61901368","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320325627","display_name":"Education Department of Shaanxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390751375.pdf"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1967455454","https://openalex.org/W2002355784","https://openalex.org/W2078985447","https://openalex.org/W2095595743","https://openalex.org/W2097272115","https://openalex.org/W2132012856","https://openalex.org/W2133989913","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2559324447","https://openalex.org/W2786492053","https://openalex.org/W2793189836","https://openalex.org/W2883624990","https://openalex.org/W2886912026","https://openalex.org/W2897760800","https://openalex.org/W2907088929","https://openalex.org/W2973016365","https://openalex.org/W2979476850","https://openalex.org/W2984253982","https://openalex.org/W2990121843","https://openalex.org/W2991257702","https://openalex.org/W2996738528","https://openalex.org/W3012028708","https://openalex.org/W3023371261","https://openalex.org/W3048338795","https://openalex.org/W3096655658","https://openalex.org/W3098740429","https://openalex.org/W3101283671","https://openalex.org/W3110245168","https://openalex.org/W3120259842","https://openalex.org/W3134539849","https://openalex.org/W3165071532","https://openalex.org/W3203407718","https://openalex.org/W4205485472","https://openalex.org/W4226149953","https://openalex.org/W4285136592","https://openalex.org/W4285274933","https://openalex.org/W4285280749","https://openalex.org/W4290043394","https://openalex.org/W4290994887","https://openalex.org/W4322743884","https://openalex.org/W4367281371","https://openalex.org/W4381244723","https://openalex.org/W4385731868","https://openalex.org/W4387587519","https://openalex.org/W6788082928","https://openalex.org/W6839747450","https://openalex.org/W6841561573","https://openalex.org/W6853743030","https://openalex.org/W6855361351"],"related_works":["https://openalex.org/W2952813363","https://openalex.org/W4378678253","https://openalex.org/W2911497689","https://openalex.org/W4360783045","https://openalex.org/W2770149305","https://openalex.org/W2972076240","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W2964843961","https://openalex.org/W3010730661"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"have":[3,210],"achieved":[4],"remarkable":[5],"results":[6,47,200],"in":[7,26,110],"the":[8,41,61,69,118,124,134,152,160,163,177,184,187,198,202],"field":[9],"of":[10,34,45,63,117,142,162,186,201],"polarimetric":[11],"synthetic":[12],"aperture":[13],"radar":[14],"(PolSAR)":[15],"image":[16,64,108],"classification.":[17],"However,":[18,78],"PolSAR":[19,27,107,153,208],"is":[20,104,170],"affected":[21],"by":[22],"speckle":[23,35],"imaging,":[24],"resulting":[25],"images":[28],"usually":[29,38],"containing":[30],"a":[31,95,128,139,165],"large":[32],"amount":[33,141],"noise,":[36],"which":[37,86,113,172],"leads":[39],"to":[40,92,123,150],"poor":[42],"spatial":[43],"consistency":[44],"classification":[46,50,67,76,109,135,168,178,196,199,212],"and":[48,66,74,89,132,158],"insufficient":[49],"accuracy.":[51,213],"Semantic":[52],"segmentation":[53,65],"methods":[54],"based":[55,126],"on":[56,127],"deep":[57],"learning":[58],"can":[59,173],"realize":[60],"task":[62,136],"at":[68],"same":[70,119],"time,":[71],"producing":[72],"fine-grained":[73],"smooth":[75],"maps.":[77],"these":[79,93],"approaches":[80],"require":[81],"enormous":[82],"labeled":[83,143],"data":[84,144],"sets,":[85],"are":[87],"laborious":[88],"time-consuming.":[90],"Due":[91],"issues,":[94],"new":[96],"multi-modal":[97,115],"contrastive":[98,146],"fully":[99,129],"convolutional":[100,130],"network,":[101],"named":[102],"MCFCN,":[103],"proposed":[105,203],"for":[106,205],"this":[111],"paper,":[112],"combines":[114],"features":[116],"pixel":[120,166],"as":[121],"inputs":[122],"model":[125],"network":[131],"accomplishes":[133],"using":[137],"only":[138,175],"small":[140],"through":[145],"learning.":[147],"In":[148],"addition,":[149],"describe":[151],"terrain":[154],"targets":[155],"more":[156],"comprehensively":[157],"enhance":[159,183],"robustness":[161],"classifier,":[164],"overlapping":[167],"strategy":[169],"proposed,":[171],"not":[174],"improve":[176],"accuracy":[179],"effectively":[180],"but":[181],"also":[182],"stability":[185],"method.":[188],"The":[189],"experiments":[190],"demonstrate":[191],"that":[192],"compared":[193],"with":[194],"existing":[195],"methods,":[197],"method":[204],"three":[206],"real":[207],"datasets":[209],"higher":[211]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
