{"id":"https://openalex.org/W3206108477","doi":"https://doi.org/10.1109/igarss47720.2021.9553565","title":"Unmixing-Based Underwater Target Detection for Hyperspectral Imagery","display_name":"Unmixing-Based Underwater Target Detection for Hyperspectral Imagery","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3206108477","doi":"https://doi.org/10.1109/igarss47720.2021.9553565","mag":"3206108477"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},"type":"conference-paper","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/A5071985172","display_name":"Jiahao Qi","orcid":"https://orcid.org/0000-0002-2560-8157"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Qi","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101698224","display_name":"Wei Xue","orcid":"https://orcid.org/0000-0002-4518-8321"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xue","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041260584","display_name":"Aihuan Yao","orcid":"https://orcid.org/0000-0002-0057-8748"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aihuan Yao","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079556851","display_name":"Ping Zhong","orcid":"https://orcid.org/0000-0002-8686-3928"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Zhong","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4436","last_page":"4439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9811000227928162,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9764999747276306,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9331678152084351},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.819238543510437},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7809443473815918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7248280048370361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6770633459091187},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6071823835372925},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.562034010887146},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5555970072746277},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4671786427497864},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4337516725063324},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42628055810928345},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4095090329647064},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11331292986869812},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09177377820014954}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9331678152084351},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.819238543510437},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7809443473815918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7248280048370361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6770633459091187},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6071823835372925},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.562034010887146},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5555970072746277},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4671786427497864},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4337516725063324},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42628055810928345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4095090329647064},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11331292986869812},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09177377820014954},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G7734440545","display_name":null,"funder_award_id":"61971428,61671456,61806004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W1963659868","https://openalex.org/W1984570510","https://openalex.org/W1991517407","https://openalex.org/W2070424424","https://openalex.org/W2101837437","https://openalex.org/W2796629918","https://openalex.org/W3023089620","https://openalex.org/W6637131181"],"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/W2070598848","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W4315498985"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,80],"proposed":[4],"a":[5,26,52,82],"novel":[6],"underwater":[7,69,116],"target":[8,70,88,117],"detection":[9,95,118],"method":[10,110],"based":[11],"on":[12,99],"hyperspectral":[13],"unmixing":[14],"methodology":[15],"which":[16,39],"composes":[17],"of":[18,44,108],"three":[19],"different":[20],"modules.":[21],"The":[22],"first":[23],"module":[24,61],"employed":[25],"classical":[27],"anomaly":[28],"detector":[29],"to":[30,62],"pick":[31],"out":[32],"the":[33,42,48,59,93,104,114],"target-water":[34,64],"mixed":[35,65],"pixels":[36,46,66],"from":[37],"background,":[38],"can":[40],"remove":[41],"influence":[43],"background":[45],"at":[47],"same":[49],"time.":[50],"Then,":[51],"bathymetric":[53],"model-based":[54],"autoencoder":[55],"is":[56],"designed":[57],"in":[58,111],"second":[60],"unmix":[63],"for":[67,87],"attaining":[68],"spectra":[71],"without":[72],"any":[73],"prior":[74],"information":[75],"about":[76],"water":[77],"environment.":[78],"Finally,":[79],"desgin":[81],"multi-criterion":[83],"spectrum":[84,89],"distance":[85],"metric":[86],"recognition":[90],"and":[91,106],"get":[92],"final":[94],"result.":[96],"Experimental":[97],"results":[98],"simulated":[100],"data":[101],"sets":[102],"demonstrate":[103],"effectiveness":[105],"efficiency":[107],"our":[109],"comparison":[112],"with":[113],"state-of-the-art":[115],"methods.":[119]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
