{"id":"https://openalex.org/W2897760800","doi":"https://doi.org/10.1109/tgrs.2018.2871504","title":"A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification","display_name":"A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification","publication_year":2018,"publication_date":"2018-10-09","ids":{"openalex":"https://openalex.org/W2897760800","doi":"https://doi.org/10.1109/tgrs.2018.2871504","mag":"2897760800"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2871504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2871504","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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":null,"display_name":"Haixia Bi","orcid":"https://orcid.org/0000-0002-3629-0332"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixia Bi","raw_affiliation_strings":["Institute for Information and System Sciences and the National Engineering Laboratory for Big Data Algorithm and Analysis Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China","Institute for Information and System Sciences and the National Engineering Laboratory for Big Data Algorithm and Analysis Technology, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-3629-0332","affiliations":[{"raw_affiliation_string":"Institute for Information and System Sciences and the National Engineering Laboratory for Big Data Algorithm and Analysis Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute for Information and System Sciences and the National Engineering Laboratory for Big Data Algorithm and Analysis Technology, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037419606","display_name":"Jian Sun","orcid":"https://orcid.org/0000-0001-7206-0641"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Sun","raw_affiliation_strings":["Institute for Information and System Sciences and the National Engineering Laboratory for Big Data Algorithm and Analysis Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China","Institute for Information and System Sciences and the National Engineering Laboratory for Big Data Algorithm and Analysis Technology, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-7206-0641","affiliations":[{"raw_affiliation_string":"Institute for Information and System Sciences and the National Engineering Laboratory for Big Data Algorithm and Analysis Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute for Information and System Sciences and the National Engineering Laboratory for Big Data Algorithm and Analysis Technology, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109280540","display_name":"Zongben Xu","orcid":"https://orcid.org/0000-0002-4066-2338"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongben Xu","raw_affiliation_strings":["Institute for Information and System Sciences and the National Engineering Laboratory for Big Data Algorithm and Analysis Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China","Institute for Information and System Sciences and the National Engineering Laboratory for Big Data Algorithm and Analysis Technology, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Information and System Sciences and the National Engineering Laboratory for Big Data Algorithm and Analysis Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute for Information and System Sciences and the National Engineering Laboratory for Big Data Algorithm and Analysis Technology, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":164.7924,"has_fulltext":false,"cited_by_count":159,"citation_normalized_percentile":{"value":0.9996421,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"57","issue":"4","first_page":"2116","last_page":"2132"},"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":0.9972000122070312,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.988099992275238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.752900242805481},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7285197973251343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6543720960617065},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6211742758750916},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5746752023696899},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5007805824279785},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4890323579311371},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.48715755343437195},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.45369696617126465},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4334254264831543},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.42389488220214844},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4062296748161316},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3600773811340332}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.752900242805481},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7285197973251343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6543720960617065},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6211742758750916},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5746752023696899},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5007805824279785},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4890323579311371},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.48715755343437195},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45369696617126465},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4334254264831543},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.42389488220214844},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4062296748161316},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3600773811340332},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2018.2871504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2871504","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G2614431373","display_name":"\u56fe\u50cf\u7ec6\u7c92\u5ea6\u8bc6\u522b\u7684\u663e\u8457\u6027\u7279\u5f81\u5b66\u4e60\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61472313","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4297193412","display_name":null,"funder_award_id":"11622106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5234250448","display_name":null,"funder_award_id":"11690011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6387986177","display_name":null,"funder_award_id":"61721002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1585385982","https://openalex.org/W1588783521","https://openalex.org/W1932847118","https://openalex.org/W1951111310","https://openalex.org/W1967455454","https://openalex.org/W1972691633","https://openalex.org/W1987110781","https://openalex.org/W2004935438","https://openalex.org/W2005126631","https://openalex.org/W2018775529","https://openalex.org/W2030180421","https://openalex.org/W2048578702","https://openalex.org/W2048679005","https://openalex.org/W2078985447","https://openalex.org/W2097089247","https://openalex.org/W2097272115","https://openalex.org/W2100495367","https://openalex.org/W2101210369","https://openalex.org/W2102605133","https://openalex.org/W2110798204","https://openalex.org/W2112130876","https://openalex.org/W2112796928","https://openalex.org/W2116246092","https://openalex.org/W2118246710","https://openalex.org/W2127193590","https://openalex.org/W2130762895","https://openalex.org/W2132012856","https://openalex.org/W2133989913","https://openalex.org/W2135279741","https://openalex.org/W2135725275","https://openalex.org/W2141424348","https://openalex.org/W2144554203","https://openalex.org/W2145882662","https://openalex.org/W2147864631","https://openalex.org/W2152214791","https://openalex.org/W2154642048","https://openalex.org/W2158400785","https://openalex.org/W2164296623","https://openalex.org/W2167309519","https://openalex.org/W2169282664","https://openalex.org/W2169544485","https://openalex.org/W2169551590","https://openalex.org/W2198260271","https://openalex.org/W2244824390","https://openalex.org/W2248623186","https://openalex.org/W2288628559","https://openalex.org/W2313573380","https://openalex.org/W2337429362","https://openalex.org/W2345055757","https://openalex.org/W2370317051","https://openalex.org/W2412588858","https://openalex.org/W2492018752","https://openalex.org/W2559324447","https://openalex.org/W2595144186","https://openalex.org/W2619662254","https://openalex.org/W2739695347","https://openalex.org/W2764034829","https://openalex.org/W2771450566","https://openalex.org/W2782522152","https://openalex.org/W2963183385","https://openalex.org/W4285719527","https://openalex.org/W6635184699","https://openalex.org/W6635188891","https://openalex.org/W6640090378","https://openalex.org/W6676481782","https://openalex.org/W6687476509"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2942366970","https://openalex.org/W2807634898","https://openalex.org/W1692008701","https://openalex.org/W4210966920","https://openalex.org/W2156233651","https://openalex.org/W2550009779"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"improving":[2],"the":[3,36,44,48,54,60,63,100,107,112,124,131,158,182],"classification":[4,19],"accuracy":[5],"with":[6,130],"limited":[7],"numbers":[8],"of":[9,126,150],"labeled":[10,49],"pixels":[11],"in":[12],"polarimetric":[13,92],"synthetic":[14],"aperture":[15],"radar":[16],"(PolSAR)":[17],"image":[18,32,38,132,187],"task,":[20],"this":[21],"paper":[22],"presents":[23],"a":[24,71,74,81],"graph-based":[25],"semisupervised":[26],"deep":[27],"learning":[28],"model":[29],"for":[30,185],"PolSAR":[31,37,172,186],"classification.":[33,188],"It":[34],"models":[35],"as":[39],"an":[40,67,136],"undirected":[41],"graph,":[42,64],"where":[43],"nodes":[45],"correspond":[46],"to":[47,99],"and":[50,53,80,90,94,123,155,174],"unlabeled":[51],"pixels,":[52],"weighted":[55],"edges":[56],"represent":[57],"similarities":[58],"between":[59],"pixels.":[61,114],"Upon":[62],"we":[65,153],"design":[66],"energy":[68,160],"function":[69,161],"incorporating":[70],"semisupervision":[72,104],"term,":[73,79],"convolutional":[75],"neural":[76],"network":[77],"(CNN)":[78],"pairwise":[82,116],"smoothness":[83,117,122],"term.":[84],"The":[85,103,115],"employed":[86],"CNN":[87],"extracts":[88],"abstract":[89],"data-driven":[91],"features":[93],"outputs":[95],"class":[96,120,127,138],"label":[97,109,121,128,139],"predictions":[98],"graph":[101],"model.":[102],"term":[105,118],"enforces":[106],"category":[108],"constraints":[110],"on":[111,143,168],"human-labeled":[113],"encourages":[119],"alignment":[125],"boundaries":[129],"edges.":[133],"Starting":[134],"from":[135],"initialized":[137],"map":[140],"generated":[141],"based":[142],"K-Wishart":[144],"distribution":[145],"hypothesis":[146],"or":[147],"superpixel":[148],"segmentation":[149],"PauliRGB":[151],"images,":[152,173],"iteratively":[154],"alternately":[156],"optimize":[157],"defined":[159],"until":[162],"it":[163],"converges.":[164],"We":[165],"conducted":[166],"experiments":[167,176],"two":[169],"real":[170],"benchmark":[171],"extensive":[175],"demonstrated":[177],"that":[178],"our":[179],"approach":[180],"achieved":[181],"state-of-the-art":[183],"results":[184]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":31},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":20}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
