{"id":"https://openalex.org/W4403305041","doi":"https://doi.org/10.3390/rs16203753","title":"A Novel Pre-Processing Approach and Benchmarking Analysis for Faster, Robust, and Improved Small Object Detection Methods","display_name":"A Novel Pre-Processing Approach and Benchmarking Analysis for Faster, Robust, and Improved Small Object Detection Methods","publication_year":2024,"publication_date":"2024-10-10","ids":{"openalex":"https://openalex.org/W4403305041","doi":"https://doi.org/10.3390/rs16203753"},"language":"en","primary_location":{"id":"doi:10.3390/rs16203753","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16203753","pdf_url":"https://www.mdpi.com/2072-4292/16/20/3753/pdf?version=1728543115","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/2072-4292/16/20/3753/pdf?version=1728543115","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036950717","display_name":"Mohammed Ali Mohammed Al-Hababi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mohammed Ali Mohammed Al-Hababi","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 101408, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109016193","display_name":"Ahsan Habib","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahsan Habib","raw_affiliation_strings":["Technovative Solutions LTD (TVS), Manchester M15 6JJ, UK"],"affiliations":[{"raw_affiliation_string":"Technovative Solutions LTD (TVS), Manchester M15 6JJ, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077011503","display_name":"Fursan Thabit","orcid":"https://orcid.org/0000-0001-8021-1294"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fursan Thabit","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 101408, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112116986","display_name":"Ying Liu","orcid":"https://orcid.org/0000-0003-3987-0954"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Liu","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 101408, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112116986"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.4449,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63817756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"16","issue":"20","first_page":"3753","last_page":"3753"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9984999895095825,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9965999722480774,"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":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6930924654006958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6675915718078613}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6930924654006958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6675915718078613},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16203753","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16203753","pdf_url":"https://www.mdpi.com/2072-4292/16/20/3753/pdf?version=1728543115","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:e0556c7a35dd4f9d80ca77446c46e9b7","is_oa":true,"landing_page_url":"https://doaj.org/article/e0556c7a35dd4f9d80ca77446c46e9b7","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 20, p 3753 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16203753","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16203753","pdf_url":"https://www.mdpi.com/2072-4292/16/20/3753/pdf?version=1728543115","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":[{"display_name":"Industry, innovation and infrastructure","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403305041.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W2883996939","https://openalex.org/W2944659700","https://openalex.org/W2995801068","https://openalex.org/W3012438347","https://openalex.org/W3012573144","https://openalex.org/W3015146731","https://openalex.org/W3018105153","https://openalex.org/W3022917557","https://openalex.org/W3023821242","https://openalex.org/W3033131612","https://openalex.org/W3084133296","https://openalex.org/W3113769242","https://openalex.org/W3118695918","https://openalex.org/W3119027652","https://openalex.org/W3122050197","https://openalex.org/W3124539583","https://openalex.org/W3135934332","https://openalex.org/W3151904266","https://openalex.org/W3202632960","https://openalex.org/W3203608457","https://openalex.org/W3217445779","https://openalex.org/W4210598935","https://openalex.org/W4214648418","https://openalex.org/W4285233972","https://openalex.org/W4289205732","https://openalex.org/W4294691383","https://openalex.org/W4311535266","https://openalex.org/W4317433887","https://openalex.org/W4318483458","https://openalex.org/W4323566612","https://openalex.org/W4324116440","https://openalex.org/W4366578460","https://openalex.org/W4382059335","https://openalex.org/W6761108903","https://openalex.org/W6792152673","https://openalex.org/W6801830353","https://openalex.org/W6850507181"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687"],"abstract_inverted_index":{"Detecting":[0],"tiny":[1],"objects":[2,126],"in":[3,80,118,144,188],"aerial":[4,189],"imagery":[5,190],"presents":[6],"a":[7,46,68,95,159,181],"major":[8],"challenge":[9],"regarding":[10,162],"their":[11,129],"limited":[12],"resolution":[13],"and":[14,39,116,127,165,186,198],"size.":[15],"Existing":[16],"research":[17,185],"predominantly":[18],"focuses":[19],"on":[20,62,133],"evaluating":[21],"average":[22,150],"precision":[23,151],"(AP)":[24],"across":[25],"various":[26],"detection":[27,56,64,101,177,200],"methods,":[28],"often":[29],"neglecting":[30],"computational":[31,163],"efficiency.":[32],"Furthermore,":[33],"state-of-the-art":[34],"techniques":[35],"can":[36],"be":[37],"complex":[38],"difficult":[40],"to":[41,72,120],"understand.":[42],"This":[43,167],"paper":[44],"introduces":[45],"comprehensive":[47],"benchmarking":[48],"analysis":[49],"specifically":[50],"tailored":[51],"for":[52,77,99,183,195],"enhancing":[53],"small":[54,125,175],"object":[55,100,176],"within":[57],"the":[58,74,81,85,91,122,134,138,172,193],"DOTA":[59],"dataset,":[60],"focusing":[61],"one-stage":[63],"methods.":[65],"We":[66],"propose":[67],"novel":[69],"data-processing":[70],"approach":[71,89,143],"enhance":[73],"overall":[75,147],"AP":[76],"all":[78],"classes":[79],"DOTA-v1.5":[82,135],"dataset":[83,136],"using":[84],"YOLOv8":[86],"framework.":[87],"Our":[88],"utilizes":[90],"YOLOv8\u2019s":[92],"darknet":[93],"architecture,":[94],"proven":[96],"effective":[97,199],"backbone":[98],"tasks.":[102],"To":[103],"optimize":[104],"performance,":[105],"we":[106],"introduce":[107],"innovative":[108],"pre-processing":[109],"techniques,":[110],"including":[111],"data":[112],"formatting,":[113],"noise":[114],"handling,":[115],"normalization,":[117],"order":[119],"improve":[121,128],"representation":[123],"of":[124,140,146,174],"detectability.":[130],"Extensive":[131],"experiments":[132],"demonstrate":[137],"superiority":[139],"our":[141,156],"proposed":[142],"terms":[145],"class":[148],"mean":[149],"(mAP),":[152],"achieving":[153],"66.7%.":[154],"Additionally,":[155],"method":[157],"establishes":[158],"new":[160],"benchmark":[161],"efficiency":[164],"speed.":[166],"advancement":[168],"not":[169],"only":[170],"enhances":[171],"performance":[173],"but":[178],"also":[179],"sets":[180],"foundation":[182],"future":[184],"applications":[187],"analysis,":[191],"paving":[192],"way":[194],"more":[196],"efficient":[197],"techniques.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
