{"id":"https://openalex.org/W4392694013","doi":"https://doi.org/10.1109/tgrs.2024.3376456","title":"Exploiting Memory-Based Cross-Image Contexts for Salient Object Detection in Optical Remote Sensing Images","display_name":"Exploiting Memory-Based Cross-Image Contexts for Salient Object Detection in Optical Remote Sensing Images","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392694013","doi":"https://doi.org/10.1109/tgrs.2024.3376456"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3376456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3376456","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/A5045005999","display_name":"Kan Huang","orcid":"https://orcid.org/0000-0003-0814-3121"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kan Huang","raw_affiliation_strings":["School of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0814-3121","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419530","display_name":"Nannan Li","orcid":"https://orcid.org/0000-0003-3688-6766"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Nannan Li","raw_affiliation_strings":["School of Computer Science and Engineering, Macau University of Science and Technology, Macau, China"],"raw_orcid":"https://orcid.org/0000-0003-3688-6766","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Macau University of Science and Technology, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017781527","display_name":"Jiarong Huang","orcid":"https://orcid.org/0009-0007-7507-4601"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiarong Huang","raw_affiliation_strings":["School of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0007-7507-4601","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031213023","display_name":"Chunwei Tian","orcid":"https://orcid.org/0000-0002-5610-8147"},"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":"Chunwei Tian","raw_affiliation_strings":["School of Software, Northwestern Polytechnic University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-5610-8147","affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnic University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4997,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.93703108,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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":1.0,"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":0.9922000169754028,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9911999702453613,"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":0.6857349276542664},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6308079957962036},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6254606246948242},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6158119440078735},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6051949262619019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5946006774902344},{"id":"https://openalex.org/keywords/optical-imaging","display_name":"Optical imaging","score":0.44773122668266296},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42791423201560974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.27885764837265015},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2121427357196808},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11972710490226746}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6857349276542664},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6308079957962036},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6254606246948242},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6158119440078735},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6051949262619019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5946006774902344},{"id":"https://openalex.org/C92630104","wikidata":"https://www.wikidata.org/wiki/Q4115103","display_name":"Optical imaging","level":2,"score":0.44773122668266296},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42791423201560974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27885764837265015},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2121427357196808},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11972710490226746},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3376456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3376456","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":[{"score":0.4300000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2040950132","display_name":null,"funder_award_id":"20ZR1423500","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G3920184056","display_name":null,"funder_award_id":"62101316","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5338284468","display_name":null,"funder_award_id":"62271302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"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":64,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1617990436","https://openalex.org/W1901129140","https://openalex.org/W1982075130","https://openalex.org/W2041719651","https://openalex.org/W2055180303","https://openalex.org/W2098702446","https://openalex.org/W2100470808","https://openalex.org/W2128272608","https://openalex.org/W2130502991","https://openalex.org/W2146103513","https://openalex.org/W2161185676","https://openalex.org/W2169632643","https://openalex.org/W2332175535","https://openalex.org/W2333091651","https://openalex.org/W2412782625","https://openalex.org/W2560468004","https://openalex.org/W2565639579","https://openalex.org/W2569272946","https://openalex.org/W2771328814","https://openalex.org/W2788154928","https://openalex.org/W2800822850","https://openalex.org/W2898455148","https://openalex.org/W2939217524","https://openalex.org/W2945874778","https://openalex.org/W2963529609","https://openalex.org/W2963868681","https://openalex.org/W2967085153","https://openalex.org/W2987701848","https://openalex.org/W2990205821","https://openalex.org/W2990984982","https://openalex.org/W3011156941","https://openalex.org/W3022643044","https://openalex.org/W3035240825","https://openalex.org/W3040987333","https://openalex.org/W3084740725","https://openalex.org/W3104349120","https://openalex.org/W3107944836","https://openalex.org/W3108948422","https://openalex.org/W3113755791","https://openalex.org/W3122006940","https://openalex.org/W3166714471","https://openalex.org/W3179147540","https://openalex.org/W3188023301","https://openalex.org/W3195135988","https://openalex.org/W3208937872","https://openalex.org/W3212645988","https://openalex.org/W3217306379","https://openalex.org/W4206947033","https://openalex.org/W4214561053","https://openalex.org/W4221014685","https://openalex.org/W4221138999","https://openalex.org/W4223896192","https://openalex.org/W4226537900","https://openalex.org/W4239147634","https://openalex.org/W4294068572","https://openalex.org/W4295308514","https://openalex.org/W4312373555","https://openalex.org/W4313399384","https://openalex.org/W4315631877","https://openalex.org/W4319303940","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6680614221"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W4394266730","https://openalex.org/W1990856605","https://openalex.org/W2053783616","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Current":[0],"state-of-the-art":[1,164],"methods":[2,165],"for":[3,43,60,95],"salient":[4,21,182],"object":[5,45,115,183],"detection":[6,184],"in":[7,32,47,113,185],"optical":[8],"remote":[9,186],"sensing":[10,187],"images":[11],"(RSI-SOD)":[12],"primarily":[13],"relies":[14],"on":[15,166],"individual":[16,128],"image":[17],"context":[18,67,125],"to":[19,71,84,91,145,163],"detect":[20],"objects.":[22],"However,":[23],"the":[24,54,96,120,147,155,174],"potential":[25],"of":[26,56,158,176],"cross-image":[27,57,79,177],"contexts":[28,178],"remains":[29],"largely":[30],"unexplored":[31],"existing":[33],"works,":[34],"which":[35],"can":[36,179],"provide":[37],"valuable":[38],"auxiliary":[39],"and":[40,88,108],"complementary":[41],"information":[42,59,87,94,126],"discriminating":[44],"representations":[46,121],"RSIs.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52,118,137],"investigate":[53],"utilization":[55],"contextual":[58,74,93],"RSI-SOD.":[61],"We":[62],"propose":[63],"a":[64,78,139],"novel":[65],"memory-based":[66],"propagation":[68],"network":[69],"(MCP-Net)":[70],"harness":[72],"dataset-level":[73,86],"information.":[75],"MCP-Net":[76],"incorporates":[77],"dual":[80],"memory":[81,110,135],"module":[82,143],"(CDM)":[83],"store":[85],"utilize":[89],"it":[90],"generate":[92],"current":[97],"image.":[98],"CDM":[99],"effectively":[100],"captures":[101],"intra-scene":[102],"variations":[103],"by":[104,122],"leveraging":[105,123],"both":[106],"foreground":[107],"background":[109],"banks,":[111],"resulting":[112],"improved":[114],"representations.":[116],"Additionally,":[117],"enhance":[119],"scale-aware":[124],"within":[127],"images.":[129,188],"To":[130],"preserve":[131],"RSI":[132],"details":[133],"before":[134],"modules,":[136],"introduce":[138],"shared":[140],"attention-guided":[141],"fusion":[142],"(SAF)":[144],"align":[146],"adjacent":[148],"network-level":[149],"features.":[150],"Extensive":[151],"evaluation":[152],"results":[153,171],"demonstrate":[154],"superior":[156],"performance":[157],"our":[159],"proposed":[160],"method":[161],"compared":[162],"three":[167],"public":[168],"benchmarks.":[169],"These":[170],"affirm":[172],"that":[173],"inclusion":[175],"significantly":[180],"benefit":[181]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
