{"id":"https://openalex.org/W3103333135","doi":"https://doi.org/10.1109/lgrs.2021.3079925","title":"MP-ResNet: Multipath Residual Network for the Semantic Segmentation of High-Resolution PolSAR Images","display_name":"MP-ResNet: Multipath Residual Network for the Semantic Segmentation of High-Resolution PolSAR Images","publication_year":2021,"publication_date":"2021-05-28","ids":{"openalex":"https://openalex.org/W3103333135","doi":"https://doi.org/10.1109/lgrs.2021.3079925","mag":"3103333135"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3079925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3079925","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2011.05088","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088242752","display_name":"Lei Ding","orcid":"https://orcid.org/0000-0003-0653-8373"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lei Ding","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"raw_orcid":"https://orcid.org/0000-0003-0653-8373","affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603983","display_name":"Kai Zheng","orcid":"https://orcid.org/0000-0003-4983-3604"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zheng","raw_affiliation_strings":["Institute of Surveying and Mapping, PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4983-3604","affiliations":[{"raw_affiliation_string":"Institute of Surveying and Mapping, PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100702458","display_name":"Dong Lin","orcid":"https://orcid.org/0000-0001-6847-4024"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Lin","raw_affiliation_strings":["NCO School, Space Engineering University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NCO School, Space Engineering University, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068816158","display_name":"Yuxing Chen","orcid":"https://orcid.org/0000-0001-9788-3556"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Yuxing Chen","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"raw_orcid":"https://orcid.org/0000-0001-9788-3556","affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039991862","display_name":"Bing Liu","orcid":"https://orcid.org/0000-0003-0848-8453"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Liu","raw_affiliation_strings":["Institute of Surveying and Mapping, PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0848-8453","affiliations":[{"raw_affiliation_string":"Institute of Surveying and Mapping, PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631195","display_name":"Jiansheng Li","orcid":"https://orcid.org/0000-0001-7726-9081"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiansheng Li","raw_affiliation_strings":["Institute of Surveying and Mapping, PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Surveying and Mapping, PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006095323","display_name":"Lorenzo Bruzzone","orcid":"https://orcid.org/0000-0002-6036-459X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Bruzzone","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"raw_orcid":"https://orcid.org/0000-0002-6036-459X","affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":40.7894,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.99581734,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"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":0.9973000288009644,"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":0.9973000288009644,"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":0.9962999820709229,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer 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":0.83127361536026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6563884019851685},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6281338930130005},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5302169919013977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.52540522813797},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.44444137811660767},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4276205599308014}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.83127361536026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6563884019851685},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6281338930130005},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5302169919013977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.52540522813797},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44444137811660767},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4276205599308014},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/lgrs.2021.3079925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3079925","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2011.05088","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.05088","pdf_url":"https://arxiv.org/pdf/2011.05088","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:iris.unitn.it:11572/310687","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9443635","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2011.05088","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.05088","pdf_url":"https://arxiv.org/pdf/2011.05088","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G5510044309","display_name":null,"funder_award_id":"201703170123","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2735039185","https://openalex.org/W2787091153","https://openalex.org/W2789584428","https://openalex.org/W2904891876","https://openalex.org/W2907088929","https://openalex.org/W2917458084","https://openalex.org/W2930359273","https://openalex.org/W2963378109","https://openalex.org/W2963727650","https://openalex.org/W2963881378","https://openalex.org/W2989067579","https://openalex.org/W3003394660","https://openalex.org/W3008156909","https://openalex.org/W3014641072","https://openalex.org/W3046165398","https://openalex.org/W3049670509","https://openalex.org/W3093844393","https://openalex.org/W3103092912","https://openalex.org/W3105636206"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W4321487865","https://openalex.org/W3155418658","https://openalex.org/W4243199227","https://openalex.org/W2379948177"],"abstract_inverted_index":{"There":[0],"are":[1],"limited":[2,161],"studies":[3,178],"on":[4,179],"the":[5,18,24,55,72,91,112,121,133,180],"semantic":[6,40,56,75,181],"segmentation":[7,41,57,182],"of":[8,20,26,58,93,124,148,163,183],"high-resolution":[9,59],"polarimetric":[10],"synthetic":[11],"aperture":[12],"radar":[13],"(PolSAR)":[14],"images":[15],"due":[16],"to":[17,63,109],"scarcity":[19],"training":[21],"data":[22],"and":[23,89],"complexity":[25],"managing":[27],"speckle":[28],"noise.":[29],"The":[30,186],"Gaofen":[31],"contest":[32],"has":[33,135],"provided":[34],"open":[35],"access":[36],"a":[37,48,101,160,173],"high-quality":[38],"PolSAR":[39,60,184],"dataset.":[42],"Taking":[43],"this":[44],"opportunity,":[45],"we":[46],"propose":[47],"multipath":[49],"residual":[50],"network":[51,69,127],"(MP-ResNet)":[52],"architecture":[53,168],"for":[54,176],"images.":[61,185],"Compared":[62],"conventional":[64],"U-shape":[65],"encoder\u2013decoder":[66],"convolutional":[67],"neural":[68],"(CNN)":[70],"architectures,":[71],"MP-ResNet":[73,99,134],"learns":[74],"context":[76],"with":[77,120,129,158],"its":[78,85,107,116],"parallel":[79],"multiscale":[80],"branches,":[81],"which":[82],"greatly":[83],"enlarges":[84],"valid":[86],"receptive":[87],"fields":[88],"improves":[90],"embedding":[92],"local":[94],"discriminative":[95],"features.":[96],"In":[97],"addition,":[98],"adopts":[100],"multilevel":[102],"feature":[103],"fusion":[104],"design":[105],"in":[106,146],"decoder":[108],"effectively":[110],"exploit":[111],"features":[113],"learned":[114],"from":[115],"different":[117],"branches.":[118],"Comparisons":[119],"baseline":[122,174],"method":[123,175],"fully":[125],"connected":[126],"(FCN":[128],"ResNet34)":[130],"show":[131],"that":[132],"achieved":[136],"significant":[137],"accuracy":[138,150],"improvements.":[139],"It":[140],"also":[141],"surpasses":[142],"several":[143],"state-of-the-art":[144],"methods":[145],"terms":[147],"overall":[149],"(OA),$\\text{m}F_{1}$and":[151],"frequency":[152],"weighted":[153],"intersection":[154],"over":[155],"union":[156],"(fwIoU),":[157],"only":[159],"increase":[162],"computational":[164],"costs.":[165],"This":[166],"CNN":[167],"can":[169],"be":[170],"used":[171],"as":[172],"future":[177],"code":[187],"is":[188],"available":[189],"at:https://github.com/ggsDing/SARSeg.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":7}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}