{"id":"https://openalex.org/W4392380324","doi":"https://doi.org/10.3390/rs16050907","title":"Object Detection in Remote Sensing Images Based on Adaptive Multi-Scale Feature Fusion Method","display_name":"Object Detection in Remote Sensing Images Based on Adaptive Multi-Scale Feature Fusion Method","publication_year":2024,"publication_date":"2024-03-04","ids":{"openalex":"https://openalex.org/W4392380324","doi":"https://doi.org/10.3390/rs16050907"},"language":"en","primary_location":{"id":"doi:10.3390/rs16050907","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16050907","pdf_url":"https://www.mdpi.com/2072-4292/16/5/907/pdf?version=1709562887","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/5/907/pdf?version=1709562887","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013806533","display_name":"Chun Liu","orcid":"https://orcid.org/0000-0002-2834-9461"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Liu","raw_affiliation_strings":["Pattern Recognition and Intelligent Vision (PRIV), Beijing University of Posts and Telecommunications, Beijing 100876, China"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition and Intelligent Vision (PRIV), Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070546600","display_name":"Sixuan Zhang","orcid":"https://orcid.org/0009-0009-3124-946X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sixuan Zhang","raw_affiliation_strings":["Pattern Recognition and Intelligent Vision (PRIV), Beijing University of Posts and Telecommunications, Beijing 100876, China"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition and Intelligent Vision (PRIV), Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017033250","display_name":"Mengjie Hu","orcid":"https://orcid.org/0000-0001-7712-3322"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengjie Hu","raw_affiliation_strings":["Pattern Recognition and Intelligent Vision (PRIV), Beijing University of Posts and Telecommunications, Beijing 100876, China"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition and Intelligent Vision (PRIV), Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110115820","display_name":"Qing Song","orcid":"https://orcid.org/0009-0006-7776-8845"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qing Song","raw_affiliation_strings":["Pattern Recognition and Intelligent Vision (PRIV), Beijing University of Posts and Telecommunications, Beijing 100876, China"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition and Intelligent Vision (PRIV), Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110115820"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":8.725,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.98516317,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"16","issue":"5","first_page":"907","last_page":"907"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9919000267982483,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9919000267982483,"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":0.9908999800682068,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/remote-sensing","display_name":"Remote sensing","score":0.6636925935745239},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6112321615219116},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5565122961997986},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5414841175079346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5290089249610901},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.46654343605041504},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.44483160972595215},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44168007373809814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37087512016296387},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2504282593727112},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15925177931785583},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11868324875831604},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09218788146972656}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6636925935745239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6112321615219116},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5565122961997986},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5414841175079346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5290089249610901},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.46654343605041504},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.44483160972595215},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44168007373809814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37087512016296387},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2504282593727112},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15925177931785583},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11868324875831604},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09218788146972656},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16050907","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16050907","pdf_url":"https://www.mdpi.com/2072-4292/16/5/907/pdf?version=1709562887","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8cfba671a0a2479e85890adccf2f281d","is_oa":true,"landing_page_url":"https://doaj.org/article/8cfba671a0a2479e85890adccf2f281d","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":"Remote Sensing, Vol 16, Iss 5, p 907 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16050907","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16050907","pdf_url":"https://www.mdpi.com/2072-4292/16/5/907/pdf?version=1709562887","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392380324.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2102605133","https://openalex.org/W2183341477","https://openalex.org/W2565639579","https://openalex.org/W2593539516","https://openalex.org/W2594177559","https://openalex.org/W2752782242","https://openalex.org/W2800388963","https://openalex.org/W2855340099","https://openalex.org/W2884585870","https://openalex.org/W2903141337","https://openalex.org/W2922509574","https://openalex.org/W2925359305","https://openalex.org/W2962749812","https://openalex.org/W2963857746","https://openalex.org/W2964350391","https://openalex.org/W2964444661","https://openalex.org/W2964979676","https://openalex.org/W2966307781","https://openalex.org/W2967487473","https://openalex.org/W2991363140","https://openalex.org/W3034971973","https://openalex.org/W3035316790","https://openalex.org/W3046174881","https://openalex.org/W3106228955","https://openalex.org/W3109055651","https://openalex.org/W3112736773","https://openalex.org/W3166285241","https://openalex.org/W3174389852","https://openalex.org/W4214648418","https://openalex.org/W4225125774","https://openalex.org/W4307726783","https://openalex.org/W4312804579","https://openalex.org/W4366204749","https://openalex.org/W4384519088","https://openalex.org/W4386065355","https://openalex.org/W4387918004","https://openalex.org/W4389117222","https://openalex.org/W6618372016","https://openalex.org/W6620707391","https://openalex.org/W6694260854"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W2139939267","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W1974511032","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872"],"abstract_inverted_index":{"Multi-scale":[0],"object":[1,53,86,137,230],"detection":[2,87,231],"is":[3,144],"critical":[4,167],"for":[5,157],"analyzing":[6],"remote":[7,38,83,228],"sensing":[8,39,84,229],"images.":[9,40],"Traditional":[10],"feature":[11,25,75,91,99,111,158,177],"pyramid":[12,100],"networks,":[13],"which":[14,81,128,169],"are":[15],"aimed":[16],"at":[17,114],"accommodating":[18],"objects":[19],"of":[20,52,149,166,174,192,203,217],"varying":[21],"sizes":[22],"through":[23,88],"multi-level":[24],"extraction,":[26],"face":[27],"significant":[28,223],"challenges":[29],"due":[30],"to":[31,47,101,124,146],"the":[32,131,147,164,172,181,197,207,213],"diverse":[33],"scale":[34],"variations":[35],"present":[36],"in":[37,226],"This":[41,160],"situation":[42],"often":[43],"forces":[44],"single-level":[45],"features":[46,148,165],"span":[48],"a":[49,98,109],"broad":[50],"spectrum":[51],"sizes,":[54],"complicating":[55],"accurate":[56],"localization":[57],"and":[58,77,200,215,220],"classification.":[59],"To":[60],"tackle":[61],"these":[62],"challenges,":[63],"this":[64],"paper":[65],"proposes":[66],"an":[67,72,140,154,190,201],"innovative":[68],"algorithm":[69],"that":[70],"incorporates":[71],"adaptive":[73,141],"multi-scale":[74,90,104,126,227],"enhancement":[76,142],"fusion":[78],"module":[79,113,143],"(ASEM),":[80],"enhances":[82],"image":[85],"sophisticated":[89],"fusion.":[92,159],"Our":[93],"method":[94,188,219],"begins":[95],"by":[96,152],"employing":[97,153],"gather":[102],"coarse":[103],"features.":[105],"Subsequently,":[106],"it":[107],"integrates":[108],"fine-grained":[110],"extraction":[112],"each":[115,150],"level,":[116],"utilizing":[117],"atrous":[118],"convolutions":[119],"with":[120,180],"varied":[121,136],"dilation":[122],"rates":[123],"refine":[125],"features,":[127],"markedly":[129],"improves":[130],"information":[132],"capture":[133],"from":[134],"widely":[135],"scales.":[138],"Furthermore,":[139],"applied":[145],"level":[151],"attention":[155],"mechanism":[156],"strategy":[161],"concentrates":[162],"on":[163,196,206],"scale,":[168],"significantly":[170],"enhance":[171],"effectiveness":[173,214],"capturing":[175],"essential":[176],"information.":[178],"Compared":[179],"baseline":[182],"method,":[183],"namely,":[184],"Rotated":[185],"FasterRCNN,":[186],"our":[187,218],"achieved":[189],"mAP":[191,202],"74.21%":[193],"(":[194],"0.81%)":[195],"DOTA-v1.0":[198],"dataset":[199],"84.90%":[204],"(+9.2%)":[205],"HRSC2016":[208],"dataset.":[209],"These":[210],"results":[211],"validated":[212],"practicality":[216],"demonstrated":[221],"its":[222],"application":[224],"value":[225],"tasks.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":12}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}