{"id":"https://openalex.org/W4312705335","doi":"https://doi.org/10.1109/igarss46834.2022.9883634","title":"Attention-Based Deep Sequential Network for Polsar Image Classification","display_name":"Attention-Based Deep Sequential Network for Polsar Image Classification","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312705335","doi":"https://doi.org/10.1109/igarss46834.2022.9883634"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883634","doi":"https://doi.org/10.1109/igarss46834.2022.9883634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883634","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W4312705335"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"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/A5064029002","display_name":"Wenqiang Hua","orcid":"https://orcid.org/0000-0003-2611-6194","observed_orcids":["https://orcid.org/0000-0003-2611-6194","https://orcid.org/0000-0002-1987-8222"]},"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":"Wenqiang Hua","raw_affiliation_strings":["School of Computer Science and Technology, Xi'an University of Posts and Telecommunications,The Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi'an Key Laboratory of Big Data and Intelligent Computing,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an University of Posts and Telecommunications,The Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi'an Key Laboratory of Big Data and Intelligent Computing,Xi'an,China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinlei Wang","orcid":null,"observed_orcids":[]},"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":"Xinlei Wang","raw_affiliation_strings":["School of Computer Science and Technology, Xi'an University of Posts and Telecommunications,The Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi'an Key Laboratory of Big Data and Intelligent Computing,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an University of Posts and Telecommunications,The Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi'an Key Laboratory of Big Data and Intelligent Computing,Xi'an,China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101776528","display_name":"Cong Zhang","orcid":"https://orcid.org/0000-0003-2745-1656","observed_orcids":["https://orcid.org/0000-0003-2745-1656"]},"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":["School of Computer Science and Technology, Xi'an University of Posts and Telecommunications,The Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi'an Key Laboratory of Big Data and Intelligent Computing,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an University of Posts and Telecommunications,The Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi'an Key Laboratory of Big Data and Intelligent Computing,Xi'an,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","observed_orcids":["https://orcid.org/0000-0003-4622-8361","https://orcid.org/0000-0001-7051-5489"]},"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":["School of Computer Science and Technology, Xi'an University of Posts and Telecommunications,The Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi'an Key Laboratory of Big Data and Intelligent Computing,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an University of Posts and Telecommunications,The Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi'an Key Laboratory of Big Data and Intelligent Computing,Xi'an,China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.5651,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75175446,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1500","last_page":"1503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9315999746322632,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9315999746322632,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.04439999908208847,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.009700000286102295,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/polsar-image-classification","display_name":"PolSAR image classification","score":0.9390000104904175},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.9440000057220459},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"long short-term memory","score":0.7620000243186951},{"id":"https://openalex.org/keywords/spatial-feature-extraction","display_name":"spatial feature extraction","score":0.7059999704360962},{"id":"https://openalex.org/keywords/spatial-sequence","display_name":"spatial sequence","score":0.5740000009536743},{"id":"https://openalex.org/keywords/sar-image-classification","display_name":"SAR image classification","score":0.38999998569488525}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8167259693145752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6967558264732361},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6368294358253479},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6338315606117249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5999473333358765},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5467159152030945},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5043147802352905},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43694040179252625},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4131987392902374},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3302161693572998},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.09267908334732056},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883634","doi":"https://doi.org/10.1109/igarss46834.2022.9883634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883634","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1950788856","https://openalex.org/W2345055757","https://openalex.org/W2984890934","https://openalex.org/W2991108209","https://openalex.org/W2999830968","https://openalex.org/W3032837604","https://openalex.org/W3100144085","https://openalex.org/W3108297506","https://openalex.org/W3111112559"],"related_works":["https://openalex.org/W4225749773","https://openalex.org/W4387802914","https://openalex.org/W4408915330","https://openalex.org/W4365148109","https://openalex.org/W4225145356","https://openalex.org/W4394624445","https://openalex.org/W2900677911","https://openalex.org/W4393864403","https://openalex.org/W4409502798","https://openalex.org/W3131779266"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"proposed":[4,101],"an":[5],"attention-based":[6],"deep":[7],"sequential":[8],"network":[9,32,80],"(ADSN)":[10],"for":[11],"PolSAR":[12],"images":[13],"classification":[14,89],"increasing":[15],"the":[16,27,37,45,58,73,83,88,100],"spatial":[17,24,41,46,50,62],"information":[18,63,85],"between":[19,60],"pixels":[20],"by":[21],"way":[22],"of":[23],"sequence.":[25],"Specifically,":[26],"long":[28],"short-term":[29],"memory":[30],"(LSTM)":[31],"is":[33,53,76],"introduced":[34,77],"to":[35,43,56,68,81],"convert":[36],"time":[38],"sequence":[39,42],"into":[40],"extract":[44],"features.":[47],"Then,":[48],"a":[49,105],"enhanced":[51],"strategy":[52],"carried":[54],"out":[55],"enhance":[57],"relationship":[59],"pixel":[61],"based":[64],"on":[65],"LSTM.":[66],"Finally,":[67],"avoid":[69],"feature":[70],"selection":[71],"procedures,":[72],"attention":[74],"mechanism":[75],"in":[78],"LSTM":[79],"select":[82],"important":[84],"and":[86,109],"improve":[87],"performance.":[90],"The":[91],"experiments":[92],"clearly":[93],"demonstrate":[94],"that":[95],"compared":[96],"with":[97],"state-of-art":[98],"methods,":[99],"method":[102],"can":[103],"achieve":[104],"much":[106],"better":[107],"performance":[108],"overall":[110],"Classification":[111],"accuracy.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2023-01-05T00:00:00"}
