{"id":"https://openalex.org/W3088621547","doi":"https://doi.org/10.1109/jstars.2020.3025582","title":"Hot Region Selection Based on Selective Search and Modified Fuzzy C-Means in Remote Sensing Images","display_name":"Hot Region Selection Based on Selective Search and Modified Fuzzy C-Means in Remote Sensing Images","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3088621547","doi":"https://doi.org/10.1109/jstars.2020.3025582","mag":"3088621547"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2020.3025582","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3025582","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09204442.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09204442.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041576447","display_name":"Shoulin Yin","orcid":"https://orcid.org/0000-0002-5367-1372"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I32399674","display_name":"Shenyang Normal University","ror":"https://ror.org/05cdfgm80","country_code":"CN","type":"education","lineage":["https://openalex.org/I32399674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shoulin Yin","raw_affiliation_strings":["Institute of Image and Information Technology and School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","Software College, Shenyang Normal University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-5367-1372","affiliations":[{"raw_affiliation_string":"Institute of Image and Information Technology and School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Software College, Shenyang Normal University, Shenyang, China","institution_ids":["https://openalex.org/I32399674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100455129","display_name":"Hang Li","orcid":"https://orcid.org/0000-0002-1230-4007"},"institutions":[{"id":"https://openalex.org/I32399674","display_name":"Shenyang Normal University","ror":"https://ror.org/05cdfgm80","country_code":"CN","type":"education","lineage":["https://openalex.org/I32399674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Li","raw_affiliation_strings":["Software College, Shenyang Normal University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-1230-4007","affiliations":[{"raw_affiliation_string":"Software College, Shenyang Normal University, Shenyang, China","institution_ids":["https://openalex.org/I32399674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":6.996,"has_fulltext":true,"cited_by_count":71,"citation_normalized_percentile":{"value":0.97145184,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"13","issue":null,"first_page":"5862","last_page":"5871"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9990000128746033,"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":0.9990000128746033,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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":0.9860000014305115,"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":0.7789689898490906},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6032351851463318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5820379853248596},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5758095383644104},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5569630265235901},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4751403331756592},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4671188294887543},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.44882071018218994},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3903464674949646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35702288150787354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3531785011291504},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10357344150543213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7789689898490906},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6032351851463318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5820379853248596},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5758095383644104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5569630265235901},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4751403331756592},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4671188294887543},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.44882071018218994},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3903464674949646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35702288150787354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3531785011291504},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10357344150543213},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2020.3025582","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3025582","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09204442.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b100d2e4113049c489963a0ea74747d1","is_oa":true,"landing_page_url":"https://doaj.org/article/b100d2e4113049c489963a0ea74747d1","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5862-5871 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2020.3025582","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3025582","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09204442.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3088621547.pdf","grobid_xml":"https://content.openalex.org/works/W3088621547.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W344203161","https://openalex.org/W2077682349","https://openalex.org/W2088049833","https://openalex.org/W2091499282","https://openalex.org/W2105587439","https://openalex.org/W2110646980","https://openalex.org/W2221544272","https://openalex.org/W2340213148","https://openalex.org/W2390270143","https://openalex.org/W2398680092","https://openalex.org/W2414019812","https://openalex.org/W2488564617","https://openalex.org/W2534181202","https://openalex.org/W2535079638","https://openalex.org/W2535617672","https://openalex.org/W2556280664","https://openalex.org/W2559157653","https://openalex.org/W2567131724","https://openalex.org/W2580772840","https://openalex.org/W2593560791","https://openalex.org/W2598811418","https://openalex.org/W2601172051","https://openalex.org/W2605982354","https://openalex.org/W2613030841","https://openalex.org/W2617890007","https://openalex.org/W2757526371","https://openalex.org/W2773325367","https://openalex.org/W2883119505","https://openalex.org/W2895051639","https://openalex.org/W2994745448","https://openalex.org/W3098206880","https://openalex.org/W6670028877","https://openalex.org/W6704439083","https://openalex.org/W6728423907","https://openalex.org/W6728935175","https://openalex.org/W6730024990"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W1589637664","https://openalex.org/W4281727072","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Hot":[0],"region":[1,34],"selection":[2],"(HRS)":[3],"is":[4,71,135,170,182,201,207],"usually":[5],"performed":[6],"for":[7,188],"larger":[8],"scenes,":[9],"especially":[10],"in":[11,37,75,131,145,203,256],"military":[12],"target":[13],"detection":[14,140,212],"and":[15,48,110,126,191,251,260],"battlefield":[16],"situational":[17],"awareness":[18],"applications.":[19],"Many":[20],"state-of-the-art":[21],"methods":[22],"pay":[23],"more":[24,253],"attention":[25],"on":[26,86,121,228],"object":[27,91],"detection.":[28,93],"Although":[29],"they":[30],"can":[31],"detect":[32],"the":[33,54,76,87,105,122,139,174,189,194,211,215,239,243,248],"of":[35,56,69,72,78,90,104,141,258],"interest":[36],"one":[38],"image,":[39],"these":[40,115],"images":[41,134],"are":[42],"highly":[43],"affected":[44],"by":[45,114],"illumination,":[46],"rotation,":[47],"scale":[49,160],"changes,":[50],"which":[51,206],"further":[52],"increases":[53],"complexity":[55],"analysis":[57,77],"compared":[58,237],"to":[59,98,137,157,172,184,192,196,209,238],"those":[60],"obtained":[61],"using":[62],"standard":[63],"remote":[64,79,132,147,161],"sensing":[65,80,133,148,162],"platforms.":[66],"The":[67,82,198,232],"study":[68],"HRS":[70,96,118,190],"great":[73],"importance":[74],"images.":[81,149,163],"current":[83],"research":[84],"focuses":[85],"specific":[88],"type":[89],"area":[92],"A":[94],"well-developed":[95],"needs":[97],"have":[99],"three":[100,229],"properties:":[101],"uniform":[102],"highlighting":[103],"entire":[106,254],"HRS,":[107],"well-defined":[108,186],"boundaries,":[109],"good":[111],"robustness.":[112],"Motivated":[113],"requirements,":[116],"a":[117,153,165],"method":[119,125,169,181,222],"based":[120],"selective":[123,179],"search":[124,180],"modified":[127,166],"fuzzy":[128],"c-means":[129],"(FCM)":[130],"proposed":[136],"address":[138],"potential":[142],"hot":[143,249],"regions":[144,250],"large-scale":[146],"First,":[150],"we":[151,218],"create":[152],"Gaussian":[154],"curvature":[155],"filter":[156],"preprocess":[158],"large":[159],"Second,":[164],"FCM":[167],"segmentation":[168],"utilized":[171],"segment":[173],"image.":[175],"Third,":[176],"an":[177],"enhanced":[178],"adopted":[183],"establish":[185],"boundaries":[187,255],"improve":[193,210],"immunity":[195],"noise.":[197],"geographic":[199],"information":[200],"presented":[202],"this":[204],"phase,":[205],"conducive":[208],"accuracy.":[213],"In":[214],"experimental":[216,233],"section,":[217],"compare":[219],"our":[220],"new":[221,244],"with":[223],"four":[224],"other":[225,240],"extraction":[226],"models":[227],"data":[230],"sets.":[231],"results":[234],"show":[235],"that":[236],"competing":[241],"models,":[242],"model":[245],"better":[246],"defines":[247],"obtains":[252],"terms":[257],"Overlap":[259],"mAP.":[261]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":27}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}