{"id":"https://openalex.org/W2941646539","doi":"https://doi.org/10.1109/lgrs.2019.2909312","title":"High-Order Generalized Orderless Pooling Networks for Synthetic-Aperture Radar Scene Classification","display_name":"High-Order Generalized Orderless Pooling Networks for Synthetic-Aperture Radar Scene Classification","publication_year":2019,"publication_date":"2019-04-25","ids":{"openalex":"https://openalex.org/W2941646539","doi":"https://doi.org/10.1109/lgrs.2019.2909312","mag":"2941646539"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2909312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2909312","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":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005788398","display_name":"Kang Ni","orcid":"https://orcid.org/0000-0003-1026-2074"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Ni","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108049097","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0002-5223-7515"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5223-7515","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101615576","display_name":"Yiquan Wu","orcid":"https://orcid.org/0000-0002-0194-8042"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiquan Wu","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0194-8042","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":0.5955,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7110739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"16","issue":"11","first_page":"1716","last_page":"1720"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9901000261306763,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7171385884284973},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.699394166469574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6495441198348999},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5457531809806824},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5359194278717041},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5310958623886108},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5058348178863525},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.48916295170783997},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4877086579799652},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.4575958847999573},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.45567402243614197},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.4315505027770996},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4221230745315552},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12215733528137207}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7171385884284973},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.699394166469574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6495441198348999},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5457531809806824},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5359194278717041},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5310958623886108},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5058348178863525},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.48916295170783997},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4877086579799652},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.4575958847999573},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.45567402243614197},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.4315505027770996},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4221230745315552},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12215733528137207},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2019.2909312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2909312","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2744459430","display_name":null,"funder_award_id":"61573183","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4695680925","display_name":null,"funder_award_id":"61801211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8397543063","display_name":null,"funder_award_id":"201900029","funder_id":"https://openalex.org/F4320326873","funder_display_name":"National Laboratory of Pattern Recognition"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326873","display_name":"National Laboratory of Pattern Recognition","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1524680991","https://openalex.org/W1625255723","https://openalex.org/W1849277567","https://openalex.org/W1897953826","https://openalex.org/W1966385142","https://openalex.org/W2012592962","https://openalex.org/W2076063813","https://openalex.org/W2085625911","https://openalex.org/W2104657103","https://openalex.org/W2151103935","https://openalex.org/W2204257188","https://openalex.org/W2620629206","https://openalex.org/W2715220489","https://openalex.org/W2727875856","https://openalex.org/W2744582969","https://openalex.org/W2767866800","https://openalex.org/W2771635595","https://openalex.org/W2789784903","https://openalex.org/W2790754721","https://openalex.org/W2792261129","https://openalex.org/W2951019013","https://openalex.org/W3103410140","https://openalex.org/W6636494156","https://openalex.org/W6639854271"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W147410782","https://openalex.org/W2799042817","https://openalex.org/W2748667022","https://openalex.org/W3211770882","https://openalex.org/W2010629964","https://openalex.org/W2983135586"],"abstract_inverted_index":{"Fixed":[0],"coding":[1,69,76,84],"style":[2],"in":[3,14],"bag":[4],"of":[5,33,59],"visual":[6],"words":[7],"(BOVW)":[8],"model":[9],"and":[10,64,112],"strong":[11],"spatial":[12],"information":[13],"convolutional":[15],"neural":[16],"network":[17,48,80],"(CNN)":[18],"feature":[19,23,38,75,94],"representation":[20,95],"make":[21],"the":[22,31,35,43,56,73,78,93,98,118,124,134,141],"vector":[24,58],"less":[25],"adaptable":[26],"for":[27,39,54,91],"scene":[28,41,126],"classification.":[29],"With":[30],"purpose":[32],"extracting":[34],"learnable":[36],"orderless":[37,46],"SAR":[40,125],"classification,":[42],"high-order":[44,57,83],"generalized":[45],"pooling":[47],"trained":[49],"by":[50,86],"backpropagation":[51],"is":[52],"proposed":[53,79,119,135],"learning":[55],"locally":[60],"aggregated":[61],"descriptors":[62],"(VLADs)":[63],"locality":[65],"constrained":[66],"affine":[67],"subspace":[68],"(LASC),":[70],"compared":[71],"with":[72],"first-order":[74],"style,":[77],"could":[81],"learn":[82],"features":[85],"outer":[87],"product":[88],"automatically.":[89],"Subsequently,":[90],"making":[92],"more":[96],"powerful,":[97],"matrix":[99],"normalization":[100,114],"(square":[101],"root)":[102],"whose":[103],"gradients":[104],"are":[105,115],"computed":[106],"via":[107],"singular":[108],"value":[109],"decomposition":[110],"(SVD)":[111],"elementwise":[113],"introduced":[116],"into":[117],"network.":[120],"Finally,":[121],"experiments":[122],"on":[123],"classification":[127],"data":[128],"set":[129],"from":[130],"TerraSAR-X":[131],"image":[132],"show":[133],"networks":[136],"achieve":[137],"better":[138],"performance":[139],"than":[140],"state-of-the-art":[142],"approaches.":[143]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
