{"id":"https://openalex.org/W2914006275","doi":"https://doi.org/10.3390/s19030486","title":"A Fourier Descriptor of 2D Shapes Based on Multiscale Centroid Contour Distances Used in Object Recognition in Remote Sensing Images","display_name":"A Fourier Descriptor of 2D Shapes Based on Multiscale Centroid Contour Distances Used in Object Recognition in Remote Sensing Images","publication_year":2019,"publication_date":"2019-01-24","ids":{"openalex":"https://openalex.org/W2914006275","doi":"https://doi.org/10.3390/s19030486","mag":"2914006275","pmid":"https://pubmed.ncbi.nlm.nih.gov/30682865"},"language":"en","primary_location":{"id":"doi:10.3390/s19030486","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19030486","pdf_url":"https://www.mdpi.com/1424-8220/19/3/486/pdf?version=1548664265","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/19/3/486/pdf?version=1548664265","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100615955","display_name":"Yan Zheng","orcid":"https://orcid.org/0000-0001-6939-7075"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zheng","raw_affiliation_strings":["Institute of Intelligent Control and Image Engineering, Xidian University, Taibai Road, Xi\u2019an 710071, China","Institute of Intelligent Control and Image Engineering, Xidian University, Taibai Road, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Control and Image Engineering, Xidian University, Taibai Road, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Institute of Intelligent Control and Image Engineering, Xidian University, Taibai Road, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103144961","display_name":"Baolong Guo","orcid":"https://orcid.org/0000-0001-9531-4632"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baolong Guo","raw_affiliation_strings":["Institute of Intelligent Control and Image Engineering, Xidian University, Taibai Road, Xi\u2019an 710071, China","Institute of Intelligent Control and Image Engineering, Xidian University, Taibai Road, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Control and Image Engineering, Xidian University, Taibai Road, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Institute of Intelligent Control and Image Engineering, Xidian University, Taibai Road, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027407618","display_name":"Zhijie Chen","orcid":"https://orcid.org/0000-0002-6546-7352"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijie Chen","raw_affiliation_strings":["Institute of Intelligent Control and Image Engineering, Xidian University, Taibai Road, Xi\u2019an 710071, China","Institute of Intelligent Control and Image Engineering, Xidian University, Taibai Road, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Control and Image Engineering, Xidian University, Taibai Road, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Institute of Intelligent Control and Image Engineering, Xidian University, Taibai Road, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404091","display_name":"Cheng Li","orcid":"https://orcid.org/0000-0002-3915-5451"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Li","raw_affiliation_strings":["Institute of Intelligent Control and Image Engineering, Xidian University, Taibai Road, Xi\u2019an 710071, China","Institute of Intelligent Control and Image Engineering, Xidian University, Taibai Road, Xi'an 710071, China"],"raw_orcid":"https://orcid.org/0000-0002-3915-5451","affiliations":[{"raw_affiliation_string":"Institute of Intelligent Control and Image Engineering, Xidian University, Taibai Road, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Institute of Intelligent Control and Image Engineering, Xidian University, Taibai Road, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103144961"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.8371,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.88444388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"19","issue":"3","first_page":"486","last_page":"486"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991000294685364,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991000294685364,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9962999820709229,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.911559522151947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7605973482131958},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.7049145102500916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6544395685195923},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6206545829772949},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5980767607688904},{"id":"https://openalex.org/keywords/fourier-domain","display_name":"Fourier domain","score":0.5778059959411621},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5045584440231323},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5025219917297363},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.46833041310310364},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4254933297634125},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.410931259393692},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2758203148841858}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.911559522151947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7605973482131958},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.7049145102500916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6544395685195923},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6206545829772949},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5980767607688904},{"id":"https://openalex.org/C3019555358","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Fourier domain","level":3,"score":0.5778059959411621},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5045584440231323},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5025219917297363},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.46833041310310364},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4254933297634125},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.410931259393692},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2758203148841858},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s19030486","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19030486","pdf_url":"https://www.mdpi.com/1424-8220/19/3/486/pdf?version=1548664265","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:30682865","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30682865","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:a98c804b83674e709788e0b0dd012f14","is_oa":true,"landing_page_url":"https://doaj.org/article/a98c804b83674e709788e0b0dd012f14","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":"Sensors, Vol 19, Iss 3, p 486 (2019)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5385437","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6387127","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/3/486/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19030486","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":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6387127","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6387127","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19030486","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19030486","pdf_url":"https://www.mdpi.com/1424-8220/19/3/486/pdf?version=1548664265","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2914006275.pdf","grobid_xml":"https://content.openalex.org/works/W2914006275.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1480405228","https://openalex.org/W1483634300","https://openalex.org/W1989443316","https://openalex.org/W2004084358","https://openalex.org/W2004265009","https://openalex.org/W2013556567","https://openalex.org/W2056982008","https://openalex.org/W2057175746","https://openalex.org/W2063967141","https://openalex.org/W2096038174","https://openalex.org/W2122827492","https://openalex.org/W2125310690","https://openalex.org/W2126491576","https://openalex.org/W2151515629","https://openalex.org/W2152769698","https://openalex.org/W2157375720","https://openalex.org/W2165414070","https://openalex.org/W2170818070","https://openalex.org/W2182587296","https://openalex.org/W2440954330","https://openalex.org/W2519319354","https://openalex.org/W2746033354","https://openalex.org/W2767142767","https://openalex.org/W2769429860"],"related_works":["https://openalex.org/W4285277379","https://openalex.org/W2154006453","https://openalex.org/W2053880394","https://openalex.org/W2092568667","https://openalex.org/W1548064913","https://openalex.org/W2914006275","https://openalex.org/W3141701162","https://openalex.org/W2125374190","https://openalex.org/W2082058201","https://openalex.org/W2074002807"],"abstract_inverted_index":{"A":[0],"shape":[1,10],"descriptor":[2,63,74],"is":[3,33,44,70,92,98,102,104,108,117],"an":[4,13],"effective":[5],"tool":[6],"for":[7],"describing":[8],"the":[9,37,77,95],"feature":[11],"of":[12,25,30,90],"object":[14],"in":[15,36,53],"remote":[16],"sensing":[17],"images.":[18],"Researchers":[19],"have":[20],"put":[21],"forward":[22],"a":[23,59,71],"lot":[24],"excellent":[26],"descriptors.":[27],"The":[28,88],"discriminability":[29,107,127],"some":[31],"descriptors":[32],"very":[34,99],"strong":[35,126],"experiments,":[38],"but":[39],"usually":[40],"their":[41],"computational":[42,96],"cost":[43,97],"large,":[45],"which":[46],"makes":[47],"them":[48],"unsuitable":[49],"to":[50],"be":[51],"used":[52],"practical":[54],"applications.":[55],"This":[56],"paper":[57],"proposes":[58],"new":[60],"descriptor-FMSCCD":[61],"(Fourier":[62],"based":[64,75],"on":[65,76,121],"multiscale":[66,83],"centroid":[67],"contour":[68,80],"distance)-which":[69],"frequency":[72],"domain":[73],"CCD":[78],"(centroid":[79],"distance)":[81],"method,":[82],"description,":[84],"and":[85,94,111,128],"Fourier":[86],"transform.":[87],"principle":[89],"FMSCCD":[91],"simple,":[93],"low.":[100],"What":[101],"commendable":[103],"that":[105],"its":[106,112,125],"still":[109],"strong,":[110],"compatibility":[113],"with":[114],"other":[115],"features":[116],"also":[118],"great.":[119],"Experiments":[120],"three":[122],"databases":[123],"demonstrate":[124],"operational":[129],"efficiency.":[130]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}