{"id":"https://openalex.org/W3149022835","doi":"https://doi.org/10.3390/rs13071327","title":"Image Enhancement Driven by Object Characteristics and Dense Feature Reuse Network for Ship Target Detection in Remote Sensing Imagery","display_name":"Image Enhancement Driven by Object Characteristics and Dense Feature Reuse Network for Ship Target Detection in Remote Sensing Imagery","publication_year":2021,"publication_date":"2021-03-31","ids":{"openalex":"https://openalex.org/W3149022835","doi":"https://doi.org/10.3390/rs13071327","mag":"3149022835"},"language":"en","primary_location":{"id":"doi:10.3390/rs13071327","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13071327","pdf_url":"https://www.mdpi.com/2072-4292/13/7/1327/pdf?version=1617938592","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/2072-4292/13/7/1327/pdf?version=1617938592","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019111542","display_name":"Ling Tian","orcid":"https://orcid.org/0000-0002-8475-9203"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Tian","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066499031","display_name":"Yu Cao","orcid":"https://orcid.org/0000-0002-3486-5518"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Cao","raw_affiliation_strings":["Beijing System Design Institute of Electro-Mechanical Engineering, Beijing 100854, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing System Design Institute of Electro-Mechanical Engineering, Beijing 100854, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022618579","display_name":"Bokun He","orcid":"https://orcid.org/0000-0002-5585-1019"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bokun He","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376972","display_name":"Yifan Zhang","orcid":"https://orcid.org/0000-0003-4533-3880"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Zhang","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749866","display_name":"Chu He","orcid":"https://orcid.org/0000-0003-3662-5769"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chu He","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China","State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0003-3662-5769","affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057131605","display_name":"Deshi Li","orcid":"https://orcid.org/0000-0002-8188-9379"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Deshi Li","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5057131605"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":4.558,"has_fulltext":true,"cited_by_count":55,"citation_normalized_percentile":{"value":0.95836023,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"13","issue":"7","first_page":"1327","last_page":"1327"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9972000122070312,"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":0.8357006311416626},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.565325915813446},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.5209978222846985},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.5185271501541138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5179014205932617},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4852011501789093},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4846782982349396},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4820212125778198},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35775530338287354},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3317359685897827},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3019072711467743},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.23912250995635986}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8357006311416626},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.565325915813446},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.5209978222846985},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.5185271501541138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5179014205932617},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4852011501789093},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4846782982349396},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4820212125778198},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35775530338287354},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3317359685897827},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3019072711467743},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.23912250995635986},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13071327","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13071327","pdf_url":"https://www.mdpi.com/2072-4292/13/7/1327/pdf?version=1617938592","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:5f5fb1f61378457bb33cdb7cd56ade10","is_oa":true,"landing_page_url":"https://doaj.org/article/5f5fb1f61378457bb33cdb7cd56ade10","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 7, p 1327 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/7/1327/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13071327","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 13; Issue 7; Pages: 1327","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13071327","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13071327","pdf_url":"https://www.mdpi.com/2072-4292/13/7/1327/pdf?version=1617938592","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":[{"id":"https://openalex.org/G1630473016","display_name":null,"funder_award_id":"No. 41371342 and No. 61331016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2572706730","display_name":null,"funder_award_id":"No. 61331016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5158444115","display_name":null,"funder_award_id":"No. 41371342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6187398417","display_name":null,"funder_award_id":"41371342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8376165696","display_name":null,"funder_award_id":"61331016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3149022835.pdf","grobid_xml":"https://content.openalex.org/works/W3149022835.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1836465849","https://openalex.org/W1998943389","https://openalex.org/W2058333183","https://openalex.org/W2102605133","https://openalex.org/W2139616920","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2308318555","https://openalex.org/W2331143823","https://openalex.org/W2565639579","https://openalex.org/W2565950292","https://openalex.org/W2570343428","https://openalex.org/W2587248218","https://openalex.org/W2598581049","https://openalex.org/W2605995529","https://openalex.org/W2607202125","https://openalex.org/W2774244034","https://openalex.org/W2787630273","https://openalex.org/W2788202095","https://openalex.org/W2798844427","https://openalex.org/W2804436788","https://openalex.org/W2884367402","https://openalex.org/W2887463361","https://openalex.org/W2897898606","https://openalex.org/W2928870406","https://openalex.org/W2962793481","https://openalex.org/W2963037989","https://openalex.org/W2963068450","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963444790","https://openalex.org/W2963474687","https://openalex.org/W2963604034","https://openalex.org/W2963684405","https://openalex.org/W2963786238","https://openalex.org/W2968261142","https://openalex.org/W2988389512","https://openalex.org/W2992240579","https://openalex.org/W3096831136","https://openalex.org/W3099008583","https://openalex.org/W3106250896","https://openalex.org/W4239426534","https://openalex.org/W6682889407"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W2281134365","https://openalex.org/W4310746709","https://openalex.org/W4385574037","https://openalex.org/W4386075645","https://openalex.org/W2969228573"],"abstract_inverted_index":{"As":[0],"the":[1,11,28,38,53,57,66,73,82,88,91,111,138,141,158,161,165,169,173,194,199,205,210,226,277,280],"application":[2],"scenarios":[3],"of":[4,13,21,30,63,84,107,113,140,160,189,201,220,231,244,279],"remote":[5],"sensing":[6],"imagery":[7],"(RSI)":[8],"become":[9],"richer,":[10],"task":[12],"ship":[14,114,162,245],"detection":[15,50,70,122,262],"from":[16],"an":[17,125,148],"overhead":[18],"perspective":[19],"is":[20],"great":[22],"significance.":[23],"Compared":[24],"with":[25,93,129],"traditional":[26],"methods,":[27],"use":[29],"deep":[31,221],"learning":[32],"ideas":[33,139],"has":[34,43],"more":[35],"prospects.":[36],"However,":[37],"Convolutional":[39],"Neural":[40],"Network":[41],"(CNN)":[42],"poor":[44],"resistance":[45],"to":[46,180,215,228],"sample":[47],"differences":[48,55],"in":[49,56,81,87,116,164,204],"tasks,":[51],"and":[52,61,90,103,185,224,249,271],"huge":[54],"image":[58,126,149],"environment,":[59],"background,":[60],"quality":[62,159],"RSIs":[64],"affect":[65],"performance":[67],"for":[68],"target":[69,163],"tasks;":[71],"on":[72,137,241,260],"other":[74],"hand,":[75],"upsampling":[76],"or":[77],"pooling":[78],"operations":[79],"result":[80],"loss":[83],"detailed":[85],"information":[86,184,188,223],"features,":[89],"CNN":[92],"outstanding":[94],"results":[95,275],"are":[96],"often":[97],"accompanied":[98],"by":[99,153],"a":[100,104,121,130,217],"high":[101],"computation":[102],"large":[105],"amount":[106],"memory":[108],"storage.":[109],"Considering":[110],"characteristics":[112],"targets":[115,232],"RSIs,":[117],"this":[118],"study":[119],"proposes":[120],"framework":[123,257],"combining":[124],"enhancement":[127,150],"module":[128,151,177,214],"dense":[131],"feature":[132,175,202],"reuse":[133,203],"module:":[134],"(1)":[135],"drawing":[136],"generative":[142],"adversarial":[143],"network":[144],"(GAN),":[145],"we":[146,208],"designed":[147,179],"driven":[152],"object":[154],"characteristics,":[155],"which":[156,196],"improves":[157],"images":[166],"while":[167,192],"augmenting":[168],"training":[170],"set;":[171],"(2)":[172],"intensive":[174],"extraction":[176],"was":[178,258],"integrate":[181],"low-level":[182],"location":[183],"high-level":[186],"semantic":[187,222],"different":[190,235],"resolutions":[191],"minimizing":[193],"computation,":[195],"can":[197],"improve":[198],"efficiency":[200],"network;":[206],"(3)":[207],"introduced":[209],"receptive":[211],"field":[212],"expansion":[213],"obtain":[216],"wider":[218],"range":[219],"enhance":[225],"ability":[227],"extract":[229],"features":[230],"were":[233,238],"at":[234],"sizes.":[236],"Experiments":[237],"carried":[239],"out":[240],"two":[242],"types":[243],"datasets,":[246],"optical":[247],"RSI":[248],"Synthetic":[250],"Aperture":[251],"Radar":[252],"(SAR)":[253],"images.":[254],"The":[255,273],"proposed":[256,281],"implemented":[259],"classic":[261],"networks":[263],"such":[264],"as":[265],"You":[266],"Only":[267],"Look":[268],"Once":[269],"(YOLO)":[270],"Mask-RCNN.":[272],"experimental":[274],"verify":[276],"effectiveness":[278],"method.":[282]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":7}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2021-04-13T00:00:00"}
