{"id":"https://openalex.org/W4293144804","doi":"https://doi.org/10.1109/jstars.2022.3162953","title":"Polarimetric SAR Image Classification Based on Ensemble Dual-Branch CNN and Superpixel Algorithm","display_name":"Polarimetric SAR Image Classification Based on Ensemble Dual-Branch CNN and Superpixel Algorithm","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4293144804","doi":"https://doi.org/10.1109/jstars.2022.3162953"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2022.3162953","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3162953","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09744483.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09744483.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Wenqiang Hua","orcid":"https://orcid.org/0000-0003-2611-6194"},"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&#x0027;an University of Posts and Telecommunications, Xi&#x0027;an, China","an University of Posts and Telecommunications, Xi&#x0027","an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"an University of Posts and Telecommunications, Xi&#x0027","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045131011","display_name":"Cong Zhang","orcid":"https://orcid.org/0000-0002-0798-0019"},"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":"Cong Zhang","raw_affiliation_strings":["Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications, Xi&#x0027;an, China","an University of Posts and Telecommunications, Xi&#x0027","an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"an University of Posts and Telecommunications, Xi&#x0027","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066026113","display_name":"Wen Xie","orcid":"https://orcid.org/0000-0002-8111-8195"},"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":"Wen Xie","raw_affiliation_strings":["Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications, Xi&#x0027;an, China","an University of Posts and Telecommunications, Xi&#x0027","an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"an University of Posts and Telecommunications, Xi&#x0027","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"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&#x0027;an University of Posts and Telecommunications, Xi&#x0027;an, China","an University of Posts and Telecommunications, Xi&#x0027","an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"an University of Posts and Telecommunications, Xi&#x0027","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":11.472,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.97798187,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"15","issue":null,"first_page":"2759","last_page":"2772"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9980999827384949,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9825000166893005,"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/computer-science","display_name":"Computer science","score":0.7438380122184753},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7103458046913147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6790440082550049},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5743756294250488},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5615416765213013},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4435116946697235},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40065890550613403},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3739919364452362}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7438380122184753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7103458046913147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6790440082550049},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5743756294250488},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5615416765213013},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4435116946697235},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40065890550613403},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3739919364452362}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2022.3162953","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3162953","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09744483.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2d2b7cb88d044bdeac66ff3a9d12fa56","is_oa":true,"landing_page_url":"https://doaj.org/article/2d2b7cb88d044bdeac66ff3a9d12fa56","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 2759-2772 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2022.3162953","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3162953","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09744483.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"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/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/G2802911279","display_name":null,"funder_award_id":"Young","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/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"}],"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}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293144804.pdf","grobid_xml":"https://content.openalex.org/works/W4293144804.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W16073958","https://openalex.org/W1484290300","https://openalex.org/W1969674753","https://openalex.org/W1988723788","https://openalex.org/W2052190325","https://openalex.org/W2078985447","https://openalex.org/W2090403289","https://openalex.org/W2097272115","https://openalex.org/W2119531662","https://openalex.org/W2130762895","https://openalex.org/W2133989913","https://openalex.org/W2141424348","https://openalex.org/W2164296623","https://openalex.org/W2492018752","https://openalex.org/W2522485430","https://openalex.org/W2559324447","https://openalex.org/W2740687828","https://openalex.org/W2746325398","https://openalex.org/W2773504760","https://openalex.org/W2804363015","https://openalex.org/W2964229061","https://openalex.org/W2969911358","https://openalex.org/W2979476850","https://openalex.org/W2984346297","https://openalex.org/W2989218065","https://openalex.org/W2990397035","https://openalex.org/W2993693427","https://openalex.org/W2996738528","https://openalex.org/W2999830968","https://openalex.org/W3015483809","https://openalex.org/W3024707412","https://openalex.org/W3030342502","https://openalex.org/W3048572146","https://openalex.org/W3081226071","https://openalex.org/W3093685377","https://openalex.org/W3107540033","https://openalex.org/W3111112559","https://openalex.org/W3148133403","https://openalex.org/W3158521717","https://openalex.org/W3158658057","https://openalex.org/W3216960684","https://openalex.org/W6600607092","https://openalex.org/W6628852233"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2911497689","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2952813363","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278"],"abstract_inverted_index":{"Recently,":[0],"convolutional":[1],"neural":[2],"networks":[3],"(CNNs)":[4],"have":[5],"been":[6],"successfully":[7],"utilized":[8,132],"in":[9,68],"polarimetric":[10],"synthetic":[11],"aperture":[12],"radar":[13],"(PolSAR)":[14],"image":[15,54,70],"classification":[16,24,55,192,210,229],"and":[17,33,162,185],"obtained":[18],"promising":[19],"results.":[20,193,211],"However,":[21],"most":[22],"CNN-based":[23],"methods":[25],"require":[26],"a":[27,72,101,150,163,195,223,234],"large":[28],"number":[29,87],"of":[30,64,88,96,146,209],"labeled":[31,40,89,236],"samples":[32,237],"it":[34],"is":[35,50,82,104,116,131,154,167,179,203],"difficult":[36],"to":[37,60,84,92,118,133,156,169,188,205],"obtain":[38,93,189],"sufficient":[39],"samples.":[41,58,90],"For":[42],"this":[43],"reason,":[44],"an":[45],"ensemble":[46,176],"dual-branch":[47],"CNN":[48,111,114,183],"(EDb-CNN)":[49],"proposed":[51,83,204,220],"for":[52,181],"PolSAR":[53,69,99,215],"with":[56],"small":[57,66],"First,":[59],"solve":[61],"the":[62,65,79,86,120,124,135,144,171,175,190,200,207,219],"problem":[63],"sample":[67],"classification,":[71],"new":[73],"data":[74],"enhancement":[75],"method":[76,221],"based":[77,138,198],"on":[78,139,199,213],"superpixel":[80,201],"algorithm":[81,178,197,202],"expand":[85],"Second,":[91],"different":[94],"scales":[95],"features":[97,122,137],"from":[98,123],"images,":[100],"Db-CNN":[102,186],"model":[103,107,153],"proposed.":[105],"This":[106],"contains":[108],"two":[109,148,159,214],"parallel":[110],"structures.":[112],"One":[113],"branch":[115,130,184],"used":[117,180],"extract":[119,134],"polarization":[121],"complex":[125],"coherency":[126],"matrix.":[127],"The":[128],"other":[129,228],"spatial":[136,141],"weighted":[140,164],"neighborhood.":[142],"On":[143],"top":[145],"these":[147,158],"branches,":[149],"feature":[151],"fusion":[152],"adopted":[155],"combine":[157],"deep":[160],"features,":[161],"loss":[165],"function":[166],"employed":[168],"improve":[170,206],"learning":[172,177],"procedure.":[173],"Then,":[174],"each":[182],"network":[187],"better":[191,225],"Finally,":[194],"postprocess":[196],"consistency":[208],"Experiments":[212],"datasets":[216],"show":[217],"that":[218],"achieves":[222],"much":[224],"performance":[226],"than":[227],"methods,":[230],"especially":[231],"when":[232],"only":[233],"few":[235],"are":[238],"available.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
