{"id":"https://openalex.org/W2316137913","doi":"https://doi.org/10.1109/tgrs.2016.2536687","title":"Automatic Object-Based Hyperspectral Image Classification Using Complex Diffusions and a New Distance Metric","display_name":"Automatic Object-Based Hyperspectral Image Classification Using Complex Diffusions and a New Distance Metric","publication_year":2016,"publication_date":"2016-04-05","ids":{"openalex":"https://openalex.org/W2316137913","doi":"https://doi.org/10.1109/tgrs.2016.2536687","mag":"2316137913"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2016.2536687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2536687","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/A5018969230","display_name":"Amin Zehtabian","orcid":"https://orcid.org/0000-0002-0718-4442"},"institutions":[{"id":"https://openalex.org/I1516879","display_name":"Tarbiat Modares University","ror":"https://ror.org/03mwgfy56","country_code":"IR","type":"education","lineage":["https://openalex.org/I1516879"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Amin Zehtabian","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran","institution_ids":["https://openalex.org/I1516879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040092306","display_name":"Hassan Ghassemian","orcid":"https://orcid.org/0000-0002-2303-1753"},"institutions":[{"id":"https://openalex.org/I1516879","display_name":"Tarbiat Modares University","ror":"https://ror.org/03mwgfy56","country_code":"IR","type":"education","lineage":["https://openalex.org/I1516879"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hassan Ghassemian","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran","institution_ids":["https://openalex.org/I1516879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018969230"],"corresponding_institution_ids":["https://openalex.org/I1516879"],"apc_list":null,"apc_paid":null,"fwci":4.5213,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.94970431,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"54","issue":"7","first_page":"4106","last_page":"4114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9958999752998352,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9635999798774719,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7969863414764404},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6660994291305542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6017091870307922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5831664800643921},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5600470304489136},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5274285078048706},{"id":"https://openalex.org/keywords/partial-differential-equation","display_name":"Partial differential equation","score":0.4624936878681183},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4501219093799591},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.41357824206352234},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3733100891113281},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33606863021850586}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7969863414764404},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6660994291305542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6017091870307922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5831664800643921},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5600470304489136},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5274285078048706},{"id":"https://openalex.org/C93779851","wikidata":"https://www.wikidata.org/wiki/Q271977","display_name":"Partial differential equation","level":2,"score":0.4624936878681183},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4501219093799591},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.41357824206352234},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3733100891113281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33606863021850586},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2016.2536687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2536687","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1485235332","https://openalex.org/W1561442812","https://openalex.org/W1984792953","https://openalex.org/W1991704947","https://openalex.org/W2001298023","https://openalex.org/W2005672614","https://openalex.org/W2008835672","https://openalex.org/W2027134814","https://openalex.org/W2029019271","https://openalex.org/W2032786999","https://openalex.org/W2038577255","https://openalex.org/W2062964394","https://openalex.org/W2065164181","https://openalex.org/W2073450904","https://openalex.org/W2075564589","https://openalex.org/W2081242252","https://openalex.org/W2085111629","https://openalex.org/W2085234574","https://openalex.org/W2106277226","https://openalex.org/W2109863423","https://openalex.org/W2126021100","https://openalex.org/W2131697388","https://openalex.org/W2134886394","https://openalex.org/W2143668817","https://openalex.org/W2150134853","https://openalex.org/W2154636369","https://openalex.org/W2156929913","https://openalex.org/W2163994077","https://openalex.org/W2164330327","https://openalex.org/W2165661463","https://openalex.org/W2166923144","https://openalex.org/W2167397429","https://openalex.org/W2168083587","https://openalex.org/W2189492432","https://openalex.org/W2242603519","https://openalex.org/W2294529943","https://openalex.org/W2617927809","https://openalex.org/W6684456555","https://openalex.org/W6687185248"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2027399350","https://openalex.org/W2060875994","https://openalex.org/W2044184146","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W4230131218"],"abstract_inverted_index":{"This":[0,42],"paper":[1],"proposes":[2],"an":[3,21,27,63,90],"approach":[4,19],"for":[5,13,69,100,128],"the":[6,51,72,101,109,117,123],"development":[7],"of":[8,29,53,111,122],"automatic":[9],"object-based":[10],"techniques":[11],"used":[12,127],"hyperspectral":[14],"image":[15],"classification.":[16],"The":[17,59,75,119],"proposed":[18],"employs":[20],"adaptive":[22,91],"smoothing":[23],"step":[24,104],"that":[25,48],"utilizes":[26],"extension":[28],"partial":[30],"differential":[31],"equations":[32],"(PDEs)":[33],"from":[34],"real":[35],"domain":[36,40],"(RPDE)":[37],"to":[38,107],"complex":[39],"(CPDE).":[41],"idea":[43],"results":[44],"in":[45,105,116],"generalized":[46],"PDEs":[47],"simultaneously":[49],"have":[50],"properties":[52],"both":[54],"forward":[55],"and":[56,62],"backward":[57],"diffusions.":[58],"genetic":[60],"algorithm":[61],"innovative":[64],"fitness":[65],"function":[66],"are":[67,78,126],"applied":[68],"adaptively":[70],"tuning":[71],"CPDE":[73],"parameters.":[74],"smoothed":[76],"data":[77],"then":[79],"fed":[80],"into":[81],"a":[82,96,129],"Pixon-based":[83],"object":[84],"extraction":[85],"process,":[86],"which":[87,114],"is":[88],"itself":[89],"process.":[92],"We":[93],"also":[94],"propose":[95],"novel":[97],"distance":[98],"metric":[99],"Pixon":[102],"creation":[103],"order":[106],"facilitate":[108],"use":[110],"textural":[112],"information":[113],"exists":[115],"data.":[118],"spectral":[120],"features":[121],"extracted":[124],"objects":[125],"support":[130],"vector":[131],"machine":[132],"classifier.":[133]},"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},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
