{"id":"https://openalex.org/W4390241498","doi":"https://doi.org/10.1109/jstars.2023.3347235","title":"Parallel Space and Channel Attention for Stronger Remote Sensing Object Detection","display_name":"Parallel Space and Channel Attention for Stronger Remote Sensing Object Detection","publication_year":2023,"publication_date":"2023-12-26","ids":{"openalex":"https://openalex.org/W4390241498","doi":"https://doi.org/10.1109/jstars.2023.3347235"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3347235","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3347235","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10374208.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10374208.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103020163","display_name":"Yuhui Zhao","orcid":"https://orcid.org/0000-0001-8846-1140"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuhui Zhao","raw_affiliation_strings":["School of Instrument and Electronics, the North University of China, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0001-8846-1140","affiliations":[{"raw_affiliation_string":"School of Instrument and Electronics, the North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007021142","display_name":"Ruifeng Yang","orcid":"https://orcid.org/0000-0002-4636-8084"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruifeng Yang","raw_affiliation_strings":["School of Instrument and Electronics, the North University of China, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-4636-8084","affiliations":[{"raw_affiliation_string":"School of Instrument and Electronics, the North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613958","display_name":"Chenxia Guo","orcid":"https://orcid.org/0000-0002-5347-9890"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxia Guo","raw_affiliation_strings":["School of Instrument and Electronics, the North University of China, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-5347-9890","affiliations":[{"raw_affiliation_string":"School of Instrument and Electronics, the North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073215699","display_name":"Xiaole Chen","orcid":"https://orcid.org/0000-0001-7565-3901"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaole Chen","raw_affiliation_strings":["China North Vehicle Research Institute, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7565-3901","affiliations":[{"raw_affiliation_string":"China North Vehicle Research Institute, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103020163"],"corresponding_institution_ids":["https://openalex.org/I135714990"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":2.0257,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.88607665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"17","issue":null,"first_page":"2610","last_page":"2621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9977999925613403,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9970999956130981,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9969000220298767,"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":0.8223315477371216},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7006468176841736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6193075776100159},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6122820377349854},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5524779558181763},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5192849040031433},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5138362050056458},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4963396191596985},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4724462628364563},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4575151801109314},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4462090730667114},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41588473320007324},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35741353034973145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08522894978523254}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8223315477371216},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7006468176841736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6193075776100159},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6122820377349854},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5524779558181763},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5192849040031433},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5138362050056458},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4963396191596985},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4724462628364563},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4575151801109314},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4462090730667114},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41588473320007324},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35741353034973145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08522894978523254},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2023.3347235","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3347235","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10374208.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4fd4c3f27e4449a593388be16004639f","is_oa":true,"landing_page_url":"https://doaj.org/article/4fd4c3f27e4449a593388be16004639f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2610-2621 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3347235","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3347235","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10374208.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390241498.pdf","grobid_xml":"https://content.openalex.org/works/W4390241498.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W2109255472","https://openalex.org/W2176924101","https://openalex.org/W2194775991","https://openalex.org/W2512351403","https://openalex.org/W2570343428","https://openalex.org/W2752782242","https://openalex.org/W2755992512","https://openalex.org/W2769613401","https://openalex.org/W2884585870","https://openalex.org/W2962749812","https://openalex.org/W2963037989","https://openalex.org/W2964979676","https://openalex.org/W3018594696","https://openalex.org/W3018757597","https://openalex.org/W3034993937","https://openalex.org/W3048631361","https://openalex.org/W3093319256","https://openalex.org/W3097353710","https://openalex.org/W3097779785","https://openalex.org/W3102692100","https://openalex.org/W3136761610","https://openalex.org/W3167976421","https://openalex.org/W3172509117","https://openalex.org/W3173658130","https://openalex.org/W3177052299","https://openalex.org/W3184840388","https://openalex.org/W3199979474","https://openalex.org/W3201797941","https://openalex.org/W3208019692","https://openalex.org/W3210586215","https://openalex.org/W3213878243","https://openalex.org/W4214939412","https://openalex.org/W4285195596","https://openalex.org/W4287121814","https://openalex.org/W4296019571","https://openalex.org/W4309026313","https://openalex.org/W4313524854","https://openalex.org/W4318953537","https://openalex.org/W4320713337","https://openalex.org/W4327652243","https://openalex.org/W4378194596","https://openalex.org/W4379984088","https://openalex.org/W4382371057","https://openalex.org/W4384521492","https://openalex.org/W4386065876","https://openalex.org/W4386076325","https://openalex.org/W4388157208","https://openalex.org/W4388685310","https://openalex.org/W6777046832","https://openalex.org/W6796684701","https://openalex.org/W6857839881"],"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/W3022252430","https://openalex.org/W3103989898","https://openalex.org/W4287804464","https://openalex.org/W803346624","https://openalex.org/W2160692033"],"abstract_inverted_index":{"The":[0,230],"object":[1,134],"detection":[2,121,164],"of":[3,55,61,166,188],"natural":[4],"images":[5,26],"tends":[6],"to":[7,65,100,118,216],"obtain":[8],"advanced":[9],"semantic":[10],"information":[11,20,54,76,103,107],"through":[12],"multiple":[13],"convolutions":[14],"and":[15,52,63,81,94,105,136,168,184,199],"pooling,":[16],"ignoring":[17],"the":[18,22,29,50,56,59,67,72,78,82,88,97,111,155,163,213],"detailed":[19],"in":[21,35,77,87,96,158,171,178],"feature":[23,85,98],"map.":[24],"Pixel-level":[25],"may":[27],"be":[28],"target":[30,225],"we":[31],"are":[32],"looking":[33],"for":[34,190,242],"remote":[36,129],"sensing":[37,130],"images.":[38],"This":[39],"article":[40],"designs":[41],"a":[42,175,185],"new":[43],"attention":[44,113],"mechanism":[45,114],"that":[46,154,218],"can":[47,141,161],"fully":[48],"utilize":[49],"spatial":[51,79],"channel":[53,89],"image,":[57],"strengthen":[58],"region":[60],"interest,":[62],"try":[64],"protect":[66],"image's":[68],"original":[69],"information.":[70],"Find":[71],"most":[73,83],"influential":[74,84],"location":[75],"dimension":[80],"map":[86,99],"dimension.":[90],"Strengthen":[91],"important":[92],"channels":[93],"positions":[95],"make":[101],"vital":[102],"stronger":[104],"weak":[106],"not":[108],"lost.":[109],"Combine":[110],"designed":[112],"with":[115,174,223],"existing":[116],"modules":[117],"enhance":[119],"YOLO-V7":[120],"capability.":[122],"We":[123,208],"have":[124,152],"merged":[125],"two":[126],"publicly":[127],"available":[128],"image":[131],"datasets,":[132],"increasing":[133],"types,":[135],"richer":[137],"appearance":[138],"features,":[139],"which":[140,238],"better":[142],"detect":[143],"model":[144,157,232],"performance.":[145],"Experimental":[146],"results":[147],"on":[148,212],"an":[149],"improved":[150,220,231],"dataset":[151,215],"shown":[153],"enhanced":[156],"this":[159],"paper":[160],"improve":[162],"ability":[165],"small":[167],"medium-sized":[169],"targets":[170,194],"complex":[172],"backgrounds,":[173],"1%":[176],"increase":[177,204],"mean":[179],"average":[180],"precision":[181],"(mAP)":[182],"value":[183],"maximum":[186],"improvement":[187],"8.2%":[189],"single-class":[191],"targets.":[192],"Medium":[193],"such":[195],"as":[196],"airports,":[197],"dams,":[198],"soccer":[200],"ball":[201],"fields":[202],"also":[203,209],"by":[205,221,236],"about":[206],"5%.":[207],"conducted":[210],"experiments":[211],"DOTA1.0":[214],"demonstrate":[217],"mAP":[219],"1.1%,":[222],"13":[224],"categories":[226],"having":[227],"higher":[228],"APs.":[229],"reduces":[233],"computational":[234],"complexity":[235],"2.7%,":[237],"is":[239],"very":[240],"user-friendly":[241],"embedded":[243],"devices.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}