{"id":"https://openalex.org/W2779663258","doi":"https://doi.org/10.1109/dicta.2017.8227462","title":"Material Based Boundary Detection in Hyperspectral Images","display_name":"Material Based Boundary Detection in Hyperspectral Images","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2779663258","doi":"https://doi.org/10.1109/dicta.2017.8227462","mag":"2779663258"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2017.8227462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2017.8227462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-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/A5057158551","display_name":"Suhad Lateef Al-khafaji","orcid":"https://orcid.org/0000-0002-7986-4308"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Suhad Lateef Al-khafaji","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University QLD, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046987655","display_name":"Ali Zia","orcid":"https://orcid.org/0000-0003-4819-6666"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ali Zia","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University QLD, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781212","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-5822-8233"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University QLD, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091254555","display_name":"Alan Wee\u2010Chung Liew","orcid":"https://orcid.org/0000-0001-6718-7584"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alan Wee-Chung Liew","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University QLD, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057158551"],"corresponding_institution_ids":["https://openalex.org/I11701301"],"apc_list":null,"apc_paid":null,"fwci":0.2354,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63949433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"90","issue":null,"first_page":"1","last_page":"7"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9898999929428101,"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":0.988099992275238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8744521141052246},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7549430131912231},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6954580545425415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6796714067459106},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6484089493751526},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6125912666320801},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.5608686208724976},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5275656580924988},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49785280227661133},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4632187485694885},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4500921666622162},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4418056607246399},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4282544255256653},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42711925506591797},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34392058849334717}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8744521141052246},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7549430131912231},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6954580545425415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6796714067459106},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6484089493751526},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6125912666320801},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.5608686208724976},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5275656580924988},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49785280227661133},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4632187485694885},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4500921666622162},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4418056607246399},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4282544255256653},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42711925506591797},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34392058849334717},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta.2017.8227462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2017.8227462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/378008","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/378008","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320319196","display_name":"Al-Nahrain University","ror":"https://ror.org/05v2p9075"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W105270443","https://openalex.org/W1929880813","https://openalex.org/W2001435354","https://openalex.org/W2003370853","https://openalex.org/W2010364271","https://openalex.org/W2039151351","https://openalex.org/W2049165087","https://openalex.org/W2053675509","https://openalex.org/W2071213124","https://openalex.org/W2074399518","https://openalex.org/W2080333872","https://openalex.org/W2085487061","https://openalex.org/W2087263574","https://openalex.org/W2101704491","https://openalex.org/W2110158442","https://openalex.org/W2118143383","https://openalex.org/W2119158865","https://openalex.org/W2119823327","https://openalex.org/W2138946062","https://openalex.org/W2145023731","https://openalex.org/W2151049637","https://openalex.org/W2155658307","https://openalex.org/W2163346236","https://openalex.org/W2165914352","https://openalex.org/W2233694842","https://openalex.org/W2314785379","https://openalex.org/W2346755835","https://openalex.org/W2396056163","https://openalex.org/W2500751094","https://openalex.org/W2511430067","https://openalex.org/W2797602122","https://openalex.org/W3102274762","https://openalex.org/W4230501216","https://openalex.org/W4243863038","https://openalex.org/W4244450895","https://openalex.org/W6604191837"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W4313014865","https://openalex.org/W2076134148"],"abstract_inverted_index":{"Boundary":[0],"detection":[1,35],"in":[2,36,88,153],"hyperspectral":[3],"image":[4],"(HSI)":[5],"is":[6,18,28,71,118,129,150],"a":[7,29,43,79,114,132],"challenging":[8],"task":[9],"due":[10],"to":[11,59,104,124],"high":[12],"data":[13],"dimensionality":[14],"and":[15,76,137],"the":[16,21,61,74,84,121,147],"that":[17,146],"distributed":[19],"over":[20],"spectral":[22,115],"bands.":[23],"For":[24],"this":[25,39,51],"reason,":[26],"there":[27],"dearth":[30],"of":[31,63,134],"research":[32],"on":[33,120,131],"boundary":[34,75],"HSI.":[37],"In":[38],"paper,":[40],"we":[41],"propose":[42],"spectral-spatial":[44,91],"feature":[45],"based":[46],"statistical":[47],"co-occurrence":[48,62],"method":[49,149],"for":[50,109],"task.":[52],"We":[53],"adopt":[54],"probability":[55],"density":[56],"function":[57],"(PDF)":[58],"estimate":[60],"features":[64,92],"at":[65,73,95],"neighboring":[66],"pixel":[67],"pairs.":[68],"Such":[69],"cooccurrence":[70],"rare":[72],"repeated":[77],"within":[78],"region.":[80],"To":[81],"fully":[82],"explore":[83],"material":[85],"information":[86],"embedded":[87],"HSI,":[89],"joint":[90],"are":[93,101],"extracted":[94],"each":[96],"pixel.":[97],"The":[98,143],"PDF":[99],"values":[100],"then":[102],"used":[103],"construct":[105],"an":[106],"affinity":[107,122],"matrix":[108,123],"all":[110],"pixels.":[111],"After":[112],"that,":[113],"clustering":[116],"algorithm":[117,128],"applied":[119],"produce":[125],"boundaries.":[126],"Our":[127],"evaluated":[130],"dataset":[133],"real-world":[135],"HSIs":[136],"compared":[138],"with":[139],"two":[140],"alternative":[141],"approaches.":[142],"results":[144],"show":[145],"proposed":[148],"very":[151],"effective":[152],"exploring":[154],"object":[155],"boundaries":[156],"from":[157],"HSI":[158],"images.":[159]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
