{"id":"https://openalex.org/W2394360973","doi":"https://doi.org/10.1117/1.jei.25.6.061405","title":"Remote sensing image segmentation using active contours based on intercorrelation of nonsubsampled contourlet coefficients","display_name":"Remote sensing image segmentation using active contours based on intercorrelation of nonsubsampled contourlet coefficients","publication_year":2016,"publication_date":"2016-05-10","ids":{"openalex":"https://openalex.org/W2394360973","doi":"https://doi.org/10.1117/1.jei.25.6.061405","mag":"2394360973"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.jei.25.6.061405","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5009378664","display_name":"Lingling Fang","orcid":"https://orcid.org/0000-0002-4397-7212"},"institutions":[{"id":"https://openalex.org/I153374732","display_name":"Liaoning Normal University","ror":"https://ror.org/04c3cgg32","country_code":"CN","type":"education","lineage":["https://openalex.org/I153374732"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingling Fang","raw_affiliation_strings":["Liaoning Normal Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Liaoning Normal Univ. (China)","institution_ids":["https://openalex.org/I153374732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055787139","display_name":"Xianghai Wang","orcid":"https://orcid.org/0000-0002-7600-9939"},"institutions":[{"id":"https://openalex.org/I153374732","display_name":"Liaoning Normal University","ror":"https://ror.org/04c3cgg32","country_code":"CN","type":"education","lineage":["https://openalex.org/I153374732"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghai Wang","raw_affiliation_strings":["Liaoning Normal Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Liaoning Normal Univ. (China)","institution_ids":["https://openalex.org/I153374732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100714899","display_name":"Yang Sun","orcid":"https://orcid.org/0000-0001-6265-1309"},"institutions":[{"id":"https://openalex.org/I153374732","display_name":"Liaoning Normal University","ror":"https://ror.org/04c3cgg32","country_code":"CN","type":"education","lineage":["https://openalex.org/I153374732"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Sun","raw_affiliation_strings":["Liaoning Normal Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Liaoning Normal Univ. (China)","institution_ids":["https://openalex.org/I153374732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031305499","display_name":"Kainan Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I153374732","display_name":"Liaoning Normal University","ror":"https://ror.org/04c3cgg32","country_code":"CN","type":"education","lineage":["https://openalex.org/I153374732"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kainan Xu","raw_affiliation_strings":["Liaoning Normal Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Liaoning Normal Univ. (China)","institution_ids":["https://openalex.org/I153374732"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.549,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":6,"citation_normalized_percentile":{"value":0.814474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":82,"max":83},"biblio":{"volume":"25","issue":"6","first_page":"061405","last_page":"061405"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9999,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9999,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9971,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9955,"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/contourlet","display_name":"Contourlet","score":0.88981336},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.69188946}],"concepts":[{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.88981336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7748747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72510624},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.69188946},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.61402184},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5876762},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.57562596},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5249008},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44487116},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44269484},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.13214234},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12863752},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.06447172},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.jei.25.6.061405","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":11,"referenced_works":["https://openalex.org/W1991113069","https://openalex.org/W1998724249","https://openalex.org/W2026356722","https://openalex.org/W2030226587","https://openalex.org/W2080937359","https://openalex.org/W2096951742","https://openalex.org/W2101926110","https://openalex.org/W2106002835","https://openalex.org/W2117853853","https://openalex.org/W2157100165","https://openalex.org/W2547456858"],"related_works":["https://openalex.org/W4210537690","https://openalex.org/W2885157826","https://openalex.org/W2376403796","https://openalex.org/W2358940597","https://openalex.org/W2356416985","https://openalex.org/W2159463658","https://openalex.org/W2051067977","https://openalex.org/W2039333314","https://openalex.org/W1973473859","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Considering":[0],"that":[1,138],"remote":[2,42,63],"sensing":[3,43,64],"images":[4,44,126],"contain":[5],"rich":[6],"scale-dependent":[7],"information":[8,61,124],"and":[9,79,93,127],"geographical":[10],"detailed":[11,60,123],"information,":[12],"segmentation":[13,33],"process":[14],"must":[15],"be":[16],"carried":[17],"out":[18],"under":[19],"the":[20,36,40,59,88,99,101,111,118,139],"multiscale":[21],"case.":[22],"The":[23,46,66],"vector-valued":[24,102],"C-V":[25,103],"active":[26,104,132],"contour":[27,105,133],"model":[28,37,83,106],"is":[29,76,95,107,142],"an":[30],"effective":[31],"image":[32,47],"method,":[34],"but":[35],"cannot":[38],"segment":[39],"nonhomogeneous":[41],"well.":[45],"processing":[48],"methods":[49],"based":[50],"on":[51,98],"nonsubsampled":[52],"contourlet":[53],"transform":[54],"(NSCT)":[55],"can":[56,121],"fully":[57],"use":[58],"of":[62,70,84,125,131],"images.":[65,116],"interscale":[67,94],"distribution":[68],"characteristics":[69,113],"NSCT":[71],"coefficients":[72],"at":[73],"finer":[74],"scale":[75],"first":[77],"analyzed":[78],"then":[80,108],"a":[81],"statistical":[82,112],"signal":[85],"singularities":[86],"combining":[87],"coefficient":[89],"correlation":[90],"between":[91],"intrascale":[92],"proposed.":[96],"Based":[97],"above,":[100],"applied":[109],"to":[110],"for":[114],"segmenting":[115],"Consequently,":[117],"proposed":[119,140],"method":[120,141],"preserve":[122],"other":[128],"desirable":[129],"properties":[130],"model.":[134],"Numerical":[135],"examples":[136],"indicate":[137],"very":[143],"competitive":[144],"with":[145],"several":[146],"state-of-the-art":[147],"techniques.":[148]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2394360973","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-04-18T06:17:26.367575","created_date":"2016-06-24"}