{"id":"https://openalex.org/W2913572003","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633038","title":"A Multi-Dimensional Hyperspectral Image Mosaic Method and its Acquisition System","display_name":"A Multi-Dimensional Hyperspectral Image Mosaic Method and its Acquisition System","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2913572003","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633038","mag":"2913572003"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2018.8633038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5102718821","display_name":"Yuan Chen","orcid":"https://orcid.org/0000-0003-0289-5808"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Yuan","raw_affiliation_strings":["Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101947022","display_name":"Mei Zhou","orcid":"https://orcid.org/0000-0002-6756-3225"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Zhou","raw_affiliation_strings":["Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318685","display_name":"Sun Li","orcid":"https://orcid.org/0000-0003-0950-4611"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Sun","raw_affiliation_strings":["Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100560954","display_name":"Song Qiu","orcid":"https://orcid.org/0000-0003-4555-3947"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Qiu","raw_affiliation_strings":["Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090964683","display_name":"Qingli Li","orcid":"https://orcid.org/0000-0001-5063-8801"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingli Li","raw_affiliation_strings":["Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102718821"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.3134,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64145085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.998199999332428,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9959999918937683,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9752714037895203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7020149827003479},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6963557004928589},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6943472027778625},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.561045229434967},{"id":"https://openalex.org/keywords/mosaic","display_name":"Mosaic","score":0.558580756187439},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45478758215904236},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4162883758544922},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.41617459058761597},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3800785541534424},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10867464542388916}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9752714037895203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7020149827003479},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6963557004928589},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6943472027778625},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.561045229434967},{"id":"https://openalex.org/C110739175","wikidata":"https://www.wikidata.org/wiki/Q133067","display_name":"Mosaic","level":2,"score":0.558580756187439},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45478758215904236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4162883758544922},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.41617459058761597},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3800785541534424},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10867464542388916},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2018.8633038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1534052798","https://openalex.org/W1990641164","https://openalex.org/W2001298023","https://openalex.org/W2030233108","https://openalex.org/W2035999119","https://openalex.org/W2060822513","https://openalex.org/W2085261163","https://openalex.org/W2091466534","https://openalex.org/W2108933333","https://openalex.org/W2119605622","https://openalex.org/W2136771158","https://openalex.org/W2147555557","https://openalex.org/W2167096957","https://openalex.org/W2299147018","https://openalex.org/W2491667203","https://openalex.org/W2588480095","https://openalex.org/W4243493583","https://openalex.org/W6733772542"],"related_works":["https://openalex.org/W2911259277","https://openalex.org/W4386427838","https://openalex.org/W2800956885","https://openalex.org/W2533019003","https://openalex.org/W2057283258","https://openalex.org/W1788560349","https://openalex.org/W2626158795","https://openalex.org/W2391021239","https://openalex.org/W2560525382","https://openalex.org/W2126575155"],"abstract_inverted_index":{"With":[0],"the":[1,40,47,51,56,64,70,74],"combination":[2],"of":[3,39,46,76],"both":[4],"spectral":[5],"and":[6,50,69],"spatial":[7,44],"information,":[8],"hyperspectral":[9,23,32,48,66],"images":[10],"can":[11],"offer":[12],"much":[13],"detailed":[14],"information":[15,38,45,53],"for":[16],"researchers.":[17],"In":[18],"this":[19,61,77],"paper,":[20],"a":[21],"multi-dimensional":[22],"image":[24,49,67],"mosaic":[25],"method":[26,35,62,78],"has":[27],"been":[28],"proposed":[29],"to":[30,63,80],"stitch":[31,68],"images.":[33],"This":[34],"combines":[36],"texture":[37],"single":[41],"gray":[42],"image,":[43],"position":[52],"gathered":[54],"during":[55],"acquisition":[57],"process.":[58],"We":[59],"apply":[60],"medical":[65],"experimental":[71],"results":[72],"prove":[73],"accuracy":[75],"compared":[79],"other":[81],"single-dimensional":[82],"methods.":[83]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
