{"id":"https://openalex.org/W4388937518","doi":"https://doi.org/10.1109/icccnt56998.2023.10307576","title":"Automated Ship Classification and Tracking in Satellite Imagery using Advanced Deep Learning Models","display_name":"Automated Ship Classification and Tracking in Satellite Imagery using Advanced Deep Learning Models","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388937518","doi":"https://doi.org/10.1109/icccnt56998.2023.10307576"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10307576","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10307576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5026191902","display_name":"K Sruthi","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sruthi K","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing, Coimbatore,Department of Computer Science and Engineering,India","Department of Computer Science and Engineering, Amrita School of Computing, Coimbatore, Amrita Vishwa Vidyapeetham, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing, Coimbatore,Department of Computer Science and Engineering,India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Coimbatore, Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035118701","display_name":"Anupa Vijai","orcid":"https://orcid.org/0000-0002-0502-6467"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anupa Vijai","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing, Coimbatore,Department of Computer Science and Engineering,India","Department of Computer Science and Engineering, Amrita School of Computing, Coimbatore, Amrita Vishwa Vidyapeetham, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing, Coimbatore,Department of Computer Science and Engineering,India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Coimbatore, Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082945868","display_name":"R. Sujee","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sujee R","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing, Coimbatore,Department of Computer Science and Engineering,India","Department of Computer Science and Engineering, Amrita School of Computing, Coimbatore, Amrita Vishwa Vidyapeetham, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing, Coimbatore,Department of Computer Science and Engineering,India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Coimbatore, Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12316","display_name":"Oil Spill Detection and Mitigation","score":0.9488999843597412,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9472000002861023,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/computer-science","display_name":"Computer science","score":0.8090790510177612},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7196105122566223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6765483021736145},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5821537971496582},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5737348198890686},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4988081455230713},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.4564128518104553},{"id":"https://openalex.org/keywords/automatic-identification-system","display_name":"Automatic Identification System","score":0.4551435112953186},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.4396421015262604},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41432851552963257},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3046489953994751},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2337406873703003},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.20640718936920166},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11164301633834839},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10963946580886841}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8090790510177612},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7196105122566223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6765483021736145},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5821537971496582},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5737348198890686},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4988081455230713},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.4564128518104553},{"id":"https://openalex.org/C146997752","wikidata":"https://www.wikidata.org/wiki/Q787197","display_name":"Automatic Identification System","level":2,"score":0.4551435112953186},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.4396421015262604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41432851552963257},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3046489953994751},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2337406873703003},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.20640718936920166},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11164301633834839},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10963946580886841},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10307576","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10307576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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":7,"referenced_works":["https://openalex.org/W2889371659","https://openalex.org/W2990714382","https://openalex.org/W3048988946","https://openalex.org/W3093651856","https://openalex.org/W3095532436","https://openalex.org/W3162620147","https://openalex.org/W6785079544"],"related_works":["https://openalex.org/W2788604587","https://openalex.org/W4321456424","https://openalex.org/W2599472179","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W4254103348","https://openalex.org/W3210378990","https://openalex.org/W3034745255","https://openalex.org/W4285161415"],"abstract_inverted_index":{"The":[0],"identification":[1,76],"of":[2,11,38,59,123,173,190,197],"ships":[3,29,54,165],"using":[4,68],"satellite":[5,31,94,167],"imagery":[6],"has":[7],"been":[8],"a":[9,50,73,120,130,146],"subject":[10],"continuous":[12],"research":[13],"due":[14,33],"to":[15,27,34,85,110,204],"its":[16,108,153],"vital":[17],"importance":[18],"in":[19,30,93,166],"maritime":[20,208],"surveillance":[21,209],"and":[22,41,64,114,176,179,186,200,210],"navigation.":[23,211],"It":[24],"is":[25,72,83,105],"challenging":[26],"recognize":[28,86],"photographs":[32],"the":[35,42,57,171,195,201],"wide":[36],"range":[37],"ship":[39],"sizes":[40],"complex":[43],"backgrounds.":[44],"In":[45],"this":[46,99,139],"study,":[47],"we":[48,79,101,141],"propose":[49],"system":[51],"for":[52,107,125,152],"classifying":[53],"that":[55,81],"combines":[56],"benefits":[58],"two":[60],"deep-learning":[61],"models,":[62],"YOLOv3":[63,69,82],"DenseNet.":[65],"We":[66],"began":[67],"because":[70],"it":[71],"well-liked":[74],"object":[75],"model.":[77],"However,":[78,117],"discovered":[80],"unable":[84],"small":[87,115],"objects,":[88],"such":[89],"as":[90],"miniature":[91],"ships,":[92],"photographs.":[95],"To":[96,136],"get":[97,137],"around":[98,138],"problem,":[100],"employed":[102],"DenseNet,":[103,145,175],"which":[104,127,162],"known":[106],"ability":[109],"distinguish":[111],"both":[112],"large":[113],"objects.":[116],"DenseNet":[118,180],"requires":[119],"significant":[121],"amount":[122],"RAM":[124],"computations,":[126],"might":[128],"be":[129],"disadvantage":[131],"when":[132],"resources":[133],"are":[134],"few.":[135],"limitation,":[140],"coupled":[142],"ResNet":[143,178],"with":[144],"popular":[147],"deep":[148],"learning":[149],"model":[150],"recognized":[151],"processing":[154],"efficiency.":[155],"As":[156],"demonstrated":[157],"by":[158,169],"our":[159,198],"recommended":[160],"solution,":[161],"effectively":[163],"recognizes":[164],"data":[168],"combining":[170],"advantages":[172],"YOLOv3,":[174],"ResNet,":[177],"working":[181],"together":[182],"achieved":[183],"greater":[184],"accuracy":[185],"more":[187],"efficient":[188],"use":[189],"memory.":[191],"Our":[192],"results":[193],"demonstrate":[194],"efficacy":[196],"approach":[199],"potential":[202],"applications":[203],"real-world":[205],"issues":[206],"like":[207]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}