{"id":"https://openalex.org/W4402261479","doi":"https://doi.org/10.1109/igarss53475.2024.10642328","title":"Edge Complementary Multi-Scale Aggregation Network for Salient Object Detection in Optical Remote Sensing Images","display_name":"Edge Complementary Multi-Scale Aggregation Network for Salient Object Detection in Optical Remote Sensing Images","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402261479","doi":"https://doi.org/10.1109/igarss53475.2024.10642328"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10642328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10642328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5038236617","display_name":"Bei Cheng","orcid":"https://orcid.org/0009-0004-9423-9158"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bei Cheng","raw_affiliation_strings":["Kunming University of Science and Technology of China,School of Information Engineering and Automation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology of China,School of Information Engineering and Automation","institution_ids":["https://openalex.org/I10660446","https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017643111","display_name":"Zao Liu","orcid":"https://orcid.org/0000-0003-0164-912X"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zao Liu","raw_affiliation_strings":["Kunming University of Science and Technology of China,School of Information Engineering and Automation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology of China,School of Information Engineering and Automation","institution_ids":["https://openalex.org/I10660446","https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019606366","display_name":"Chengbiao Fu","orcid":"https://orcid.org/0000-0002-4019-1839"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengbiao Fu","raw_affiliation_strings":["Kunming University of Science and Technology of China,School of Information Engineering and Automation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology of China,School of Information Engineering and Automation","institution_ids":["https://openalex.org/I10660446","https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003333516","display_name":"Tao Shen","orcid":"https://orcid.org/0000-0003-1273-7950"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Shen","raw_affiliation_strings":["Kunming University of Science and Technology of China,School of Information Engineering and Automation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology of China,School of Information Engineering and Automation","institution_ids":["https://openalex.org/I10660446","https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6562,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69570301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"6929","last_page":"6932"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998000264167786,"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":0.9998000264167786,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9959999918937683,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.995199978351593,"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/salient","display_name":"Salient","score":0.6960273385047913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.689210832118988},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5946786403656006},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.594012975692749},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5750397443771362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5672203898429871},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.538048267364502},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.49562323093414307},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4952172338962555},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.44849586486816406},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3476385474205017},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2674233317375183},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23397788405418396},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14973387122154236},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08449038863182068}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6960273385047913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.689210832118988},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5946786403656006},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.594012975692749},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5750397443771362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5672203898429871},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.538048267364502},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.49562323093414307},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4952172338962555},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.44849586486816406},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3476385474205017},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2674233317375183},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23397788405418396},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14973387122154236},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08449038863182068}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10642328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10642328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2967085153","https://openalex.org/W2981374717","https://openalex.org/W3108948422","https://openalex.org/W3166714471","https://openalex.org/W3208937872","https://openalex.org/W3217306379","https://openalex.org/W4206947033","https://openalex.org/W4223896192","https://openalex.org/W4226305459","https://openalex.org/W4226537900","https://openalex.org/W4312373555","https://openalex.org/W4315631877","https://openalex.org/W4319663751","https://openalex.org/W4376464584","https://openalex.org/W4385219794","https://openalex.org/W4385444701","https://openalex.org/W4385819971","https://openalex.org/W6767856356"],"related_works":["https://openalex.org/W2028037572","https://openalex.org/W2315652488","https://openalex.org/W2039365229","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W2145843506","https://openalex.org/W2379089757","https://openalex.org/W4293054829","https://openalex.org/W2056407677","https://openalex.org/W2128085731"],"abstract_inverted_index":{"In":[0,73],"recent":[1],"years,":[2],"salient":[3],"object":[4,32],"detection":[5],"(SOD)":[6],"has":[7],"attracted":[8],"more":[9,11],"and":[10,30,64,86,93],"attention.":[12],"However,":[13],"the":[14,66,90,104,118],"SOD":[15],"in":[16,47],"remote":[17],"sensing":[18],"images":[19],"(RSI-SOD)":[20],"faces":[21],"various":[22],"issues,":[23],"including":[24],"large":[25],"scene":[26],"span,":[27],"cluttered":[28],"background":[29,94],"changeable":[31],"scale.":[33],"To":[34],"address":[35],"these":[36],"challenges,":[37],"an":[38],"edge":[39,76,87],"complementary":[40],"multi-scale":[41,52,62],"aggregation":[42,54],"network":[43,106],"(ECMANet)":[44],"is":[45,57,80],"proposed":[46,119],"this":[48],"paper.":[49],"Specifically,":[50],"a":[51],"feature":[53],"module":[55,78,100],"(MFAM)":[56],"designed":[58,81],"to":[59,82,102],"extract":[60],"hierarchical":[61],"information":[63,85],"reduce":[65],"noise":[67],"interference":[68],"of":[69],"different":[70],"scale":[71],"information.":[72,88,107],"addition,":[74],"foreground":[75,84],"guidance":[77],"(FEGM)":[79],"cross-refine":[83],"Finally,":[89],"foreground,":[91],"edge,":[92],"are":[95,110],"generated":[96],"by":[97],"background-foreground":[98],"fusion":[99],"(BFFM)":[101],"complement":[103],"overall":[105],"Extensive":[108],"experiments":[109],"conducted":[111],"on":[112],"two":[113],"popular":[114],"datasets":[115],"demonstrate":[116],"that":[117],"method":[120],"outperforms":[121],"other":[122],"state-of-the-art":[123],"methods.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
