{"id":"https://openalex.org/W4407563546","doi":"https://doi.org/10.1109/tgrs.2025.3541220","title":"Hierarchical Heterogeneous Geometric Foreground Perception Network for Remote Sensing Object Detection","display_name":"Hierarchical Heterogeneous Geometric Foreground Perception Network for Remote Sensing Object Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407563546","doi":"https://doi.org/10.1109/tgrs.2025.3541220"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3541220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3541220","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5084699418","display_name":"Dong Ren","orcid":"https://orcid.org/0000-0002-0422-1017"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dong Ren","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yang Liu","orcid":"https://orcid.org/0009-0000-1837-499X"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004093770","display_name":"Hang Sun","orcid":"https://orcid.org/0000-0002-3460-9354"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Sun","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024278302","display_name":"Lefei Zhang","orcid":null},"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":"Lefei Zhang","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101655825","display_name":"Jun Wan","orcid":"https://orcid.org/0000-0002-9961-7902"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wan","raw_affiliation_strings":["School of Information Engineering, Zhongnan University of Economics and Law, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhongnan University of Economics and Law, Wuhan, China","institution_ids":["https://openalex.org/I158934434"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084699418"],"corresponding_institution_ids":["https://openalex.org/I161350542"],"apc_list":null,"apc_paid":null,"fwci":25.5316,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.99076344,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9746000170707703,"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":0.9746000170707703,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9627000093460083,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9491000175476074,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7162482738494873},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6344563961029053},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5551950335502625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5468825697898865},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.48641276359558105},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4759756624698639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4678422212600708},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.22435620427131653},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13747075200080872}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162482738494873},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6344563961029053},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5551950335502625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5468825697898865},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.48641276359558105},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4759756624698639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4678422212600708},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22435620427131653},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13747075200080872},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3541220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3541220","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7684016204","display_name":null,"funder_award_id":"62122060","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8990589862","display_name":null,"funder_award_id":"2024AFB992","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2102605133","https://openalex.org/W2194775991","https://openalex.org/W2220384803","https://openalex.org/W2565639579","https://openalex.org/W2922509574","https://openalex.org/W2962749812","https://openalex.org/W2962850830","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2963849369","https://openalex.org/W2964444661","https://openalex.org/W2964979676","https://openalex.org/W2970370255","https://openalex.org/W2990230185","https://openalex.org/W2991359031","https://openalex.org/W2991363140","https://openalex.org/W2992240579","https://openalex.org/W2993501994","https://openalex.org/W3012573144","https://openalex.org/W3018757597","https://openalex.org/W3034307881","https://openalex.org/W3034971973","https://openalex.org/W3046174881","https://openalex.org/W3086049282","https://openalex.org/W3092663126","https://openalex.org/W3109055651","https://openalex.org/W3136761610","https://openalex.org/W3170033848","https://openalex.org/W3174873843","https://openalex.org/W3176495987","https://openalex.org/W3177105943","https://openalex.org/W3203699578","https://openalex.org/W4214648418","https://openalex.org/W4214829639","https://openalex.org/W4283800076","https://openalex.org/W4285820611","https://openalex.org/W4309627406","https://openalex.org/W4312335509","https://openalex.org/W4312795296","https://openalex.org/W4318483458","https://openalex.org/W4385346076","https://openalex.org/W4386038329","https://openalex.org/W4386072246","https://openalex.org/W4387250673","https://openalex.org/W4389104739","https://openalex.org/W4389879928","https://openalex.org/W4390659361","https://openalex.org/W4390873076","https://openalex.org/W4390874500","https://openalex.org/W4391216347","https://openalex.org/W4391307079","https://openalex.org/W4391559388","https://openalex.org/W4391935863","https://openalex.org/W4392061670","https://openalex.org/W4392849988","https://openalex.org/W4392940160","https://openalex.org/W4396605538","https://openalex.org/W4399344797","https://openalex.org/W4400410086","https://openalex.org/W4402667905","https://openalex.org/W4402754006","https://openalex.org/W4402775306","https://openalex.org/W4403022807","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6788870397","https://openalex.org/W6796744688","https://openalex.org/W6810974023","https://openalex.org/W6811378280","https://openalex.org/W6847876731","https://openalex.org/W6852670053","https://openalex.org/W6873941262"],"related_works":["https://openalex.org/W2628861693","https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W1987967678","https://openalex.org/W3203087560","https://openalex.org/W2633218168","https://openalex.org/W4235897794","https://openalex.org/W2737719445","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Recently,":[0],"deep":[1,114],"learning-based":[2],"remote":[3,62],"sensing":[4,63],"object":[5],"detection":[6,68],"(RSOD)":[7],"has":[8],"been":[9],"widely":[10],"explored":[11],"and":[12,48,58,97,113,137],"obtained":[13],"remarkable":[14],"performance.":[15,164],"However,":[16],"most":[17],"existing":[18],"multiscale":[19],"feature":[20,44,100,115,122,144],"extraction":[21],"methods":[22],"neglect":[23],"exploring":[24],"the":[25,33,56,99,103,108,111,118],"interfering":[26],"representation":[27],"of":[28,61,102],"different":[29],"hierarchical":[30,77,88],"features":[31],"in":[32,53,117],"backbone,":[34,119],"which":[35],"is":[36,93,131],"crucial":[37],"for":[38,84,146],"learning":[39],"more":[40,142],"discriminative":[41,121],"features.":[42],"Moreover,":[43],"pyramid":[45],"network":[46,82],"(FPN)":[47],"its":[49],"variants":[50],"have":[51],"difficulty":[52],"effectively":[54],"perceiving":[55],"pose":[57],"salient":[59],"information":[60,101],"objects,":[64,147],"leading":[65],"to":[66,95,107,133],"reduced":[67],"accuracy.":[69],"To":[70],"address":[71],"these":[72],"issues,":[73],"we":[74],"propose":[75],"a":[76,87,125],"heterogeneous":[78,89],"geometric":[79,126,135],"foreground":[80,127,139],"perception":[81,128],"(HHGFP-Net)":[83],"RSOD.":[85],"Specifically,":[86],"receptive-field":[90],"module":[91],"(HHRM)":[92],"proposed":[94],"reward":[96],"penalize":[98],"corresponding":[104],"levels":[105],"according":[106],"differences":[109],"between":[110],"shallow":[112],"layers":[116],"improving":[120],"ability.":[123],"Furthermore,":[124],"FPN":[129],"(GFP-FPN)":[130],"developed":[132],"refine":[134],"shapes":[136],"enhance":[138],"contents,":[140],"providing":[141],"precise":[143],"representations":[145],"particularly":[148],"small":[149],"objects.":[150],"Experimental":[151],"results":[152],"on":[153],"four":[154],"challenging":[155],"RSOD":[156],"datasets":[157],"demonstrate":[158],"that":[159],"our":[160],"HHGFP-Net":[161],"achieves":[162],"state-of-the-art":[163],"Codes":[165],"are":[166],"available":[167],"at:":[168],"<uri":[169],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[170],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/YyLinkWorld/HHGFP-Net</uri>.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}