{"id":"https://openalex.org/W3009833230","doi":"https://doi.org/10.1109/tgrs.2020.2972289","title":"CSVM Architectures for Pixel-Wise Object Detection in High-Resolution Remote Sensing Images","display_name":"CSVM Architectures for Pixel-Wise Object Detection in High-Resolution Remote Sensing Images","publication_year":2020,"publication_date":"2020-03-02","ids":{"openalex":"https://openalex.org/W3009833230","doi":"https://doi.org/10.1109/tgrs.2020.2972289","mag":"3009833230"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.2972289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2972289","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/A5101769707","display_name":"Youyou Li","orcid":"https://orcid.org/0000-0001-8185-4750"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Youyou Li","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021389231","display_name":"Farid Melgani","orcid":"https://orcid.org/0000-0001-9745-3732"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Farid Melgani","raw_affiliation_strings":["University of Trento, Trento, Italy"],"raw_orcid":"https://orcid.org/0000-0001-9745-3732","affiliations":[{"raw_affiliation_string":"University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100671875","display_name":"Binbin He","orcid":"https://orcid.org/0000-0002-0668-6520"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binbin He","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-0668-6520","affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101769707"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.1469,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83560386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"58","issue":"9","first_page":"6059","last_page":"6070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9987999796867371,"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/computer-science","display_name":"Computer science","score":0.8838024735450745},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7168979048728943},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6913182735443115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6509788036346436},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5789318084716797},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4804244041442871},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47332391142845154},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45553210377693176},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4472441077232361},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4367600083351135},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33070608973503113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32983827590942383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8838024735450745},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7168979048728943},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6913182735443115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6509788036346436},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5789318084716797},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4804244041442871},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47332391142845154},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45553210377693176},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4472441077232361},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4367600083351135},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33070608973503113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32983827590942383},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2020.2972289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2972289","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"},{"id":"pmh:oai:iris.unitn.it:11572/287543","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/287543","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1874300106","display_name":null,"funder_award_id":"41671361","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8526509014","display_name":null,"funder_award_id":"41601373","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":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1864199185","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1980038761","https://openalex.org/W1999051627","https://openalex.org/W2016021439","https://openalex.org/W2031024973","https://openalex.org/W2054382462","https://openalex.org/W2096733369","https://openalex.org/W2100415730","https://openalex.org/W2102605133","https://openalex.org/W2121025662","https://openalex.org/W2136251662","https://openalex.org/W2138857742","https://openalex.org/W2139212933","https://openalex.org/W2145287260","https://openalex.org/W2146126838","https://openalex.org/W2146249080","https://openalex.org/W2148878936","https://openalex.org/W2149933564","https://openalex.org/W2163605009","https://openalex.org/W2200518663","https://openalex.org/W2215770970","https://openalex.org/W2248723555","https://openalex.org/W2253590344","https://openalex.org/W2311523351","https://openalex.org/W2342880667","https://openalex.org/W2346062110","https://openalex.org/W2412782625","https://openalex.org/W2419597278","https://openalex.org/W2465688497","https://openalex.org/W2494341560","https://openalex.org/W2538244214","https://openalex.org/W2556967412","https://openalex.org/W2605995529","https://openalex.org/W2765226977","https://openalex.org/W2766938848","https://openalex.org/W2792542990","https://openalex.org/W2804935296","https://openalex.org/W2807974043","https://openalex.org/W2808586699","https://openalex.org/W2884419823","https://openalex.org/W2890732922","https://openalex.org/W2902459419","https://openalex.org/W2903078082","https://openalex.org/W2949846184","https://openalex.org/W2963881378","https://openalex.org/W3099206234","https://openalex.org/W3100561351","https://openalex.org/W3105127913","https://openalex.org/W4299518610","https://openalex.org/W6639824700","https://openalex.org/W6680300913","https://openalex.org/W6682132143","https://openalex.org/W6684191040","https://openalex.org/W6717177883","https://openalex.org/W6729983426"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W2969228573","https://openalex.org/W2044092692","https://openalex.org/W2963690996","https://openalex.org/W2614621130","https://openalex.org/W2547665164","https://openalex.org/W3103111272","https://openalex.org/W4289655544"],"abstract_inverted_index":{"Detecting":[0],"objects":[1],"becomes":[2],"an":[3,117],"increasingly":[4],"important":[5],"task":[6],"in":[7,55,81],"very":[8,99],"high":[9],"resolution":[10],"(VHR)":[11],"remote":[12],"sensing":[13],"imagery":[14],"analysis.":[15],"With":[16],"the":[17,36,77,106],"development":[18],"of":[19,25],"GPU-computing":[20],"capability,":[21],"a":[22,63],"growing":[23],"number":[24],"deep":[26],"convolutional":[27,70],"neural":[28],"networks":[29],"(CNNs)":[30],"have":[31],"been":[32],"designed":[33,121],"to":[34,75,113],"address":[35,76],"object":[37,78],"detection":[38,79],"challenge.":[39],"However,":[40],"compared":[41,112],"with":[42,98],"CPU,":[43],"GPU":[44],"is":[45,67,116],"much":[46],"more":[47],"costly.":[48],"Therefore,":[49],"GPU-based":[50],"methods":[51],"are":[52,85],"less":[53],"attractive":[54],"practical":[56],"applications.":[57],"In":[58],"this":[59],"article,":[60],"we":[61],"propose":[62],"CPU-based":[64],"method":[65],"that":[66,105],"based":[68],"on":[69,87],"support":[71],"vector":[72],"machines":[73],"(CSVMs)":[74],"challenge":[80],"VHR":[82,89],"images.":[83],"Experiments":[84],"conducted":[86],"three":[88],"and":[90],"two":[91],"unmanned":[92],"aerial":[93],"vehicle":[94],"(UAV)":[95],"data":[96,125],"sets":[97],"limited":[100],"training":[101,124],"data.":[102],"Results":[103],"show":[104],"proposed":[107],"CSVM":[108],"achieves":[109],"competitive":[110],"performance":[111],"U-Net":[114],"which":[115],"efficient":[118],"CNN-based":[119],"model":[120],"for":[122],"small":[123],"sets.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
