{"id":"https://openalex.org/W2955396654","doi":"https://doi.org/10.1109/whispers.2018.8747227","title":"Triplet Constrained Deep Feature Extraction for Hyperspectral Image Classification","display_name":"Triplet Constrained Deep Feature Extraction for Hyperspectral Image Classification","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2955396654","doi":"https://doi.org/10.1109/whispers.2018.8747227","mag":"2955396654"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2018.8747227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2018.8747227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10072/391054","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041799790","display_name":"Fahim Irfan Alam","orcid":"https://orcid.org/0009-0004-8171-9267"},"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":"Fahim Irfan Alam","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, 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, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","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, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048681988","display_name":"Jun Jo","orcid":"https://orcid.org/0000-0002-3099-2712"},"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 Jo","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071549690","display_name":"Yongsheng Gao","orcid":"https://orcid.org/0000-0002-5382-5351"},"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":"Yongsheng Gao","raw_affiliation_strings":["School of Engineering, Griffith University, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Griffith University, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041799790"],"corresponding_institution_ids":["https://openalex.org/I11701301"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31695546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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":0.9911999702453613,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9879000186920166,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7883262634277344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7858536243438721},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7430156469345093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.690125048160553},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.668937087059021},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6425697803497314},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6151007413864136},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5300927758216858},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5001635551452637},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4850177466869354},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.46125543117523193},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44250521063804626},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4373353123664856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21512827277183533}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7883262634277344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7858536243438721},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7430156469345093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690125048160553},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.668937087059021},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6425697803497314},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6151007413864136},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5300927758216858},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5001635551452637},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4850177466869354},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.46125543117523193},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44250521063804626},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4373353123664856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21512827277183533},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/whispers.2018.8747227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2018.8747227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/391054","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/391054","pdf_url":"http://hdl.handle.net/10072/391054","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/391054","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/391054","pdf_url":"http://hdl.handle.net/10072/391054","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2955396654.pdf"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2096733369","https://openalex.org/W2101711129","https://openalex.org/W2140982131","https://openalex.org/W2405365025","https://openalex.org/W2500751094","https://openalex.org/W2516282711","https://openalex.org/W2519653196","https://openalex.org/W2548791488","https://openalex.org/W2572303978","https://openalex.org/W2751335629","https://openalex.org/W3099206234","https://openalex.org/W6731975103"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W2019190440","https://openalex.org/W2343470940","https://openalex.org/W2565656575"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,23],"networks":[2,24],"(CNNs)":[3],"have":[4],"demonstrated":[5],"significant":[6],"performance":[7,29],"in":[8,13,60,97,116],"various":[9],"visual":[10],"recognition":[11],"problems":[12],"recent":[14],"years.":[15],"Recent":[16],"research":[17],"has":[18,74],"shown":[19],"that":[20],"training":[21,95],"multilayer":[22],"can":[25,78],"extensively":[26],"improve":[27],"the":[28,91,94,135],"of":[30,68,93,107,110,138],"hyperspectral":[31],"image":[32],"(HSI)":[33],"classification.":[34,118],"In":[35],"this":[36,72],"paper,":[37],"we":[38,88],"apply":[39],"a":[40,45,52,57,66,124],"triplet":[41],"constraint":[42],"property":[43],"on":[44,123],"3D":[46],"CNN.":[47],"This":[48,101,119],"method":[49,120],"directly":[50,63],"learns":[51],"mapping":[53],"from":[54],"images":[55],"to":[56,65],"Euclidean":[58],"space":[59],"which":[61,133],"distances":[62],"correspond":[64],"measure":[67],"spectral-spatial":[69,108],"similarity.":[70],"Once":[71],"embedding":[73],"been":[75],"established,":[76],"classification":[77],"be":[79],"implemented":[80],"with":[81,129],"such":[82],"embeddings":[83],"as":[84],"feature":[85],"vectors.":[86],"Moreover,":[87],"also":[89],"augment":[90],"size":[92],"samples":[96],"different":[98,103],"band":[99],"groups.":[100],"produces":[102],"yet":[104],"useful":[105],"estimation":[106],"characteristics":[109],"HSI":[111],"data":[112],"and":[113,127],"contributes":[114],"considerably":[115],"accurate":[117],"is":[121],"evaluated":[122],"new":[125],"dataset":[126],"compared":[128],"several":[130],"state-of-the-art":[131],"models,":[132],"shows":[134],"promising":[136],"potential":[137],"our":[139],"method.":[140]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}