{"id":"https://openalex.org/W4360770866","doi":"https://doi.org/10.1109/tgrs.2023.3260825","title":"Boundary-Aware Network With Two-Stage Partial Decoders for Salient Object Detection in Remote Sensing Images","display_name":"Boundary-Aware Network With Two-Stage Partial Decoders for Salient Object Detection in Remote Sensing Images","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4360770866","doi":"https://doi.org/10.1109/tgrs.2023.3260825"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3260825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3260825","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":"https://openalex.org/A5065043599","display_name":"Qingping Zheng","orcid":"https://orcid.org/0000-0003-1484-3220"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingping Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100758591","display_name":"Ling Zheng","orcid":"https://orcid.org/0000-0003-0174-9972"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ling Zheng","raw_affiliation_strings":["Fuzhou Institute of Data Technology, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0174-9972","affiliations":[{"raw_affiliation_string":"Fuzhou Institute of Data Technology, Fuzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063391988","display_name":"Yunpeng Bai","orcid":"https://orcid.org/0000-0002-6923-672X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunpeng Bai","raw_affiliation_strings":["Department of Computer Science, Aberystwyth University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-6923-672X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aberystwyth University, Xi&#x2019;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119011911","display_name":"Hang Liu","orcid":"https://orcid.org/0009-0001-2928-1040"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073110676","display_name":"Jiankang Deng","orcid":"https://orcid.org/0000-0002-3709-6216"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiankang Deng","raw_affiliation_strings":["Department of Computing, Imperial College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3709-6216","affiliations":[{"raw_affiliation_string":"Department of Computing, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100785617","display_name":"Ying Li","orcid":"https://orcid.org/0000-0001-7370-1754"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Li","raw_affiliation_strings":["School of Computer Science and Engineering, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-7370-1754","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8674,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86246432,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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":0.991599977016449,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9898999929428101,"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/computer-science","display_name":"Computer science","score":0.8035753965377808},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6924752593040466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5960405468940735},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5729122757911682},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5193270444869995},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5009636878967285},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.49101734161376953},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4732040762901306},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.461173415184021},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4448968470096588},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4352649450302124},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4328063130378723},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.41730719804763794},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3981589078903198},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3861624002456665},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37832945585250854},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09470957517623901},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0910530686378479}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8035753965377808},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6924752593040466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5960405468940735},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5729122757911682},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5193270444869995},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5009636878967285},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.49101734161376953},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4732040762901306},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.461173415184021},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4448968470096588},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4352649450302124},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4328063130378723},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.41730719804763794},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3981589078903198},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3861624002456665},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37832945585250854},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09470957517623901},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0910530686378479},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3260825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3260825","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/11","display_name":"Sustainable cities and communities","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G6556306731","display_name":null,"funder_award_id":"62271400","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":48,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1617990436","https://openalex.org/W1903029394","https://openalex.org/W2070083314","https://openalex.org/W2132083787","https://openalex.org/W2135206865","https://openalex.org/W2161236525","https://openalex.org/W2512351403","https://openalex.org/W2592962403","https://openalex.org/W2769613401","https://openalex.org/W2793668851","https://openalex.org/W2889992972","https://openalex.org/W2890853604","https://openalex.org/W2944053494","https://openalex.org/W2945874778","https://openalex.org/W2963112696","https://openalex.org/W2963868681","https://openalex.org/W2964159923","https://openalex.org/W2967085153","https://openalex.org/W3022643044","https://openalex.org/W3047443805","https://openalex.org/W3048631361","https://openalex.org/W3102692100","https://openalex.org/W3103695279","https://openalex.org/W3104349120","https://openalex.org/W3107091603","https://openalex.org/W3108948422","https://openalex.org/W3120524049","https://openalex.org/W3166714471","https://openalex.org/W3173058980","https://openalex.org/W3179147540","https://openalex.org/W3188023301","https://openalex.org/W3208937872","https://openalex.org/W3214821343","https://openalex.org/W3216142429","https://openalex.org/W3217306379","https://openalex.org/W4206144626","https://openalex.org/W4206947033","https://openalex.org/W4221014685","https://openalex.org/W4221138999","https://openalex.org/W4223896192","https://openalex.org/W4226537900","https://openalex.org/W4246446144","https://openalex.org/W4297426812","https://openalex.org/W4312298142","https://openalex.org/W6637373629","https://openalex.org/W6729983426","https://openalex.org/W6786209368"],"related_works":["https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644","https://openalex.org/W4220682630","https://openalex.org/W3181622257","https://openalex.org/W4389832810","https://openalex.org/W3133533225"],"abstract_inverted_index":{"Salient":[0],"object":[1,78,239],"detection":[2,79,240],"is":[3,88,115,141,167],"a":[4,64,83,177,205,210,233],"binary":[5],"pixel-wise":[6],"classification":[7],"to":[8,37,94,117,131,148,170,197],"distinguish":[9],"objects":[10,40,185],"in":[11,21,41,59,80,129,241],"an":[12,112],"image,":[13],"and":[14,52,110,189,215,260],"also":[15,231],"have":[16],"attracted":[17],"many":[18],"research":[19],"interests":[20],"the":[22,33,42,47,73,91,105,120,136,145,150,158,163,173,198,216],"optical":[23,43,221],"Remote":[24],"Sensing":[25],"Images":[26],"(RSIs).":[27],"The":[28,123],"existing":[29,257],"state-of-the-art":[30],"method":[31],"exploits":[32],"full":[34],"encoder-decoder":[35],"architecture":[36],"predict":[38,183],"salient":[39,77,101,154,184,238],"RSIs,":[44],"suffering":[45],"from":[46],"problem":[48,107,159],"of":[49,100,153,160,200,213],"unsmooth":[50],"edges":[51,99,188],"incomplete":[53,161],"structures.":[54],"To":[55,103,156],"address":[56],"these":[57],"problems,":[58],"this":[60],"paper,":[61],"we":[62,230],"propose":[63],"Boundary-Aware":[65,84],"Network":[66],"(BANet)":[67],"with":[68,186],"two-stage":[69],"partial":[70],"decoders":[71],"sharing":[72],"same":[74],"encoders":[75],"for":[76,220,237],"RSIs.":[81,242],"Specifically,":[82],"Partial":[85,138],"Decoder":[86,139],"(BAD)":[87],"introduced":[89,143],"at":[90,144,266],"first":[92],"stage":[93,147],"focus":[95],"on":[96,255],"learning":[97,119,172],"clear":[98,187],"objects.":[102,155],"solve":[104],"pixel-imbalance":[106],"between":[108],"boundary":[109],"background,":[111],"edge-aware":[113],"loss":[114,166],"proposed":[116,169,180,248],"guide":[118],"BAD":[121],"network.":[122,175],"resulting":[124],"features":[125],"are":[126,225],"then":[127],"employed":[128],"turn":[130],"enhance":[132],"high-level":[133],"features.":[134,202],"Afterwards,":[135],"Structure-Aware":[137],"(SAD)":[140],"further":[142,168],"second":[146],"improve":[149],"structure":[151],"integrity":[152],"alleviate":[157],"structures,":[162],"structural":[164],"similarity":[165],"supervise":[171],"SAD":[174],"In":[176],"consequence,":[178],"our":[179,247,261],"BANet":[181,249],"can":[182],"complete":[190],"structure,":[191],"while":[192],"reducing":[193],"model":[194],"parameters":[195],"due":[196],"discardment":[199],"low-level":[201],"Besides,":[203],"training":[204],"deep":[206],"neural":[207],"network":[208],"requires":[209],"large":[211,227],"amount":[212],"images,":[214],"current":[217],"benchmark":[218,258],"datasets":[219,259],"remote":[222],"sensing":[223],"images":[224],"not":[226],"enough.":[228],"Therefore,":[229],"create":[232],"large-scale":[234],"challenging":[235],"dataset":[236,264],"Extensive":[243],"experiments":[244],"demonstrate":[245],"that":[246],"outperforms":[250],"previous":[251],"RSI":[252],"SOD":[253],"models":[254],"all":[256],"new":[262],"presented":[263],"available":[265],"https://github.com/QingpingZheng/RSISOD.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
