{"id":"https://openalex.org/W4402915998","doi":"https://doi.org/10.1109/icip51287.2024.10647968","title":"Enhanced Detection of Small Objects in Aerial Imagery: A High-Resolution Neural Network Approach With Amplified Feature Pyramid and Sigmoid Re-Weighting","display_name":"Enhanced Detection of Small Objects in Aerial Imagery: A High-Resolution Neural Network Approach With Amplified Feature Pyramid and Sigmoid Re-Weighting","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402915998","doi":"https://doi.org/10.1109/icip51287.2024.10647968"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10647968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip51287.2024.10647968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","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/A5101634735","display_name":"Chanyeong Park","orcid":"https://orcid.org/0009-0008-3537-1959"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Chanyeong Park","raw_affiliation_strings":["Chung-Ang University,Department of Image"],"affiliations":[{"raw_affiliation_string":"Chung-Ang University,Department of Image","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101970254","display_name":"J.S. Jang","orcid":"https://orcid.org/0009-0006-7414-2003"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junbo Jang","raw_affiliation_strings":["Chung-Ang University,Department of Artificial Intelligence"],"affiliations":[{"raw_affiliation_string":"Chung-Ang University,Department of Artificial Intelligence","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013115843","display_name":"Heegwang Kim","orcid":"https://orcid.org/0000-0002-6059-6008"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heegwang Kim","raw_affiliation_strings":["Chung-Ang University,Department of Image"],"affiliations":[{"raw_affiliation_string":"Chung-Ang University,Department of Image","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013926864","display_name":"Joonki Paik","orcid":"https://orcid.org/0000-0002-8593-7155"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joonki Paik","raw_affiliation_strings":["Chung-Ang University,Department of Image"],"affiliations":[{"raw_affiliation_string":"Chung-Ang University,Department of Image","institution_ids":["https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101634735"],"corresponding_institution_ids":["https://openalex.org/I67900169"],"apc_list":null,"apc_paid":null,"fwci":0.7561,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79739642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"970","last_page":"976"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9919000267982483,"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"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9919000267982483,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9556999802589417,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9527000188827515,"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/weighting","display_name":"Weighting","score":0.7791482210159302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7709976434707642},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.765560507774353},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6622925996780396},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6450061202049255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6365013718605042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6023939847946167},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5481463074684143},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49989986419677734},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44955146312713623},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18216624855995178},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06137922406196594}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7791482210159302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7709976434707642},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.765560507774353},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6622925996780396},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6450061202049255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6365013718605042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6023939847946167},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5481463074684143},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49989986419677734},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44955146312713623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18216624855995178},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06137922406196594},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":1,"locations":[{"id":"doi:10.1109/icip51287.2024.10647968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip51287.2024.10647968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2565639579","https://openalex.org/W2883780447","https://openalex.org/W2916798096","https://openalex.org/W2962777203","https://openalex.org/W2962858109","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963857746","https://openalex.org/W2995484963","https://openalex.org/W3096609285","https://openalex.org/W3134194416","https://openalex.org/W3136838953","https://openalex.org/W3138960644","https://openalex.org/W3157042932","https://openalex.org/W3160733999","https://openalex.org/W3176346992","https://openalex.org/W3200549186","https://openalex.org/W3208285567","https://openalex.org/W4206294875","https://openalex.org/W4238732474","https://openalex.org/W4297676427","https://openalex.org/W4310117546","https://openalex.org/W4313561223","https://openalex.org/W4316654761","https://openalex.org/W4372260606","https://openalex.org/W4386076325","https://openalex.org/W6620707391","https://openalex.org/W6798165038","https://openalex.org/W6798838024","https://openalex.org/W6803003410"],"related_works":["https://openalex.org/W4385957115","https://openalex.org/W2061372042","https://openalex.org/W3047779762","https://openalex.org/W1520030019","https://openalex.org/W2071654592","https://openalex.org/W2088157920","https://openalex.org/W2180954594","https://openalex.org/W4283785902","https://openalex.org/W4206776094","https://openalex.org/W3121197456"],"abstract_inverted_index":{"Detecting":[0],"small":[1,25,56],"objects":[2,26],"in":[3,59],"drone-captured":[4],"images":[5,31,39],"or":[6],"aerial":[7],"videos":[8],"is":[9,130],"challenging":[10],"due":[11],"to":[12,110],"their":[13],"minimal":[14],"representation.":[15],"As":[16],"data":[17],"traverses":[18],"deep":[19],"learning":[20],"networks,":[21,113],"the":[22,76,104],"information":[23],"about":[24],"can":[27],"diminish,":[28],"making":[29],"high-resolution":[30,38,60],"essential":[32],"for":[33,55],"enhanced":[34],"detection":[35,58],"performance.":[36],"However,":[37],"increase":[40],"computational":[41,125],"load":[42],"undesirably.":[43],"Leveraging":[44],"this":[45],"fact,":[46],"we":[47],"propose":[48],"a":[49,123],"streamlined":[50],"neural":[51],"network":[52,64],"designed":[53],"specifically":[54],"object":[57],"images.":[61],"The":[62,127],"proposed":[63],"encompasses":[65],"three":[66],"main":[67],"components:":[68],"i)":[69],"Enhanced":[70],"High-Resolution":[71],"Processing":[72],"Module":[73,89,94,100,107],"(EHRPM),":[74],"ii)":[75],"Small":[77],"Object":[78],"Feature":[79,81],"Amplified":[80],"Pyramid":[82],"Network":[83],"(SOFA-FPN)":[84],"with":[85,119],"its":[86],"Edge":[87],"Enhancement":[88],"(EEM),":[90],"Cross":[91],"Lateral":[92],"Connection":[93],"(CLCM),":[95],"and":[96,102,122],"Dual":[97],"Bottom-up":[98],"Convolution":[99],"(DBCM),":[101],"iii)":[103],"Sigmoid":[105],"Re-weighting":[106],"(SRM).":[108],"Compared":[109],"several":[111],"state-of-the-art":[112],"our":[114],"method":[115],"delivers":[116],"superior":[117],"performance":[118],"fewer":[120],"parameters":[121],"lower":[124],"demand.":[126],"source":[128],"code":[129],"available":[131],"at":[132],"https://github.com/datu0615/EHRPM.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}