{"id":"https://openalex.org/W4200321772","doi":"https://doi.org/10.3390/rs13234912","title":"A Spatial-Spectral Feature Descriptor for Hyperspectral Image Matching","display_name":"A Spatial-Spectral Feature Descriptor for Hyperspectral Image Matching","publication_year":2021,"publication_date":"2021-12-03","ids":{"openalex":"https://openalex.org/W4200321772","doi":"https://doi.org/10.3390/rs13234912"},"language":"en","primary_location":{"id":"doi:10.3390/rs13234912","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13234912","pdf_url":"https://www.mdpi.com/2072-4292/13/23/4912/pdf?version=1638617179","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/23/4912/pdf?version=1638617179","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019838573","display_name":"Yang Yu","orcid":"https://orcid.org/0000-0001-8776-0157"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yu","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002618865","display_name":"Yong Ma","orcid":"https://orcid.org/0000-0002-1116-0662"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Ma","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021381864","display_name":"Xiaoguang Mei","orcid":"https://orcid.org/0000-0002-0239-8580"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoguang Mei","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366841","display_name":"Fan Fan","orcid":"https://orcid.org/0000-0002-7507-1810"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Fan","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002872664","display_name":"Jun Huang","orcid":"https://orcid.org/0000-0001-5893-4090"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Huang","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040010053","display_name":"Jiayi Ma","orcid":"https://orcid.org/0000-0003-3264-3265"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Ma","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100366841"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.1938,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51559309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":"23","first_page":"4912","last_page":"4912"},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9983999729156494,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9943000078201294,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7994508743286133},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7993906736373901},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7586851119995117},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7495818138122559},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6294569969177246},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.6189106702804565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5780506730079651},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5751725435256958},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5618706345558167},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5224734544754028},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41885823011398315},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36470264196395874}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7994508743286133},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7993906736373901},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7586851119995117},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7495818138122559},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6294569969177246},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.6189106702804565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5780506730079651},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5751725435256958},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5618706345558167},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5224734544754028},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41885823011398315},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36470264196395874},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13234912","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13234912","pdf_url":"https://www.mdpi.com/2072-4292/13/23/4912/pdf?version=1638617179","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fd65824368d44b269fb0182060e551e3","is_oa":true,"landing_page_url":"https://doaj.org/article/fd65824368d44b269fb0182060e551e3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 23, p 4912 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/23/4912/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13234912","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13234912","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13234912","pdf_url":"https://www.mdpi.com/2072-4292/13/23/4912/pdf?version=1638617179","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6362778646","display_name":null,"funder_award_id":"61903279","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200321772.pdf","grobid_xml":"https://content.openalex.org/works/W4200321772.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1901447884","https://openalex.org/W1979931042","https://openalex.org/W1988386267","https://openalex.org/W2003671357","https://openalex.org/W2053675509","https://openalex.org/W2061056108","https://openalex.org/W2080353936","https://openalex.org/W2085261163","https://openalex.org/W2089468765","https://openalex.org/W2092094685","https://openalex.org/W2107552587","https://openalex.org/W2108333036","https://openalex.org/W2119605622","https://openalex.org/W2127786001","https://openalex.org/W2129000642","https://openalex.org/W2130068374","https://openalex.org/W2139925058","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2155658307","https://openalex.org/W2168478992","https://openalex.org/W2320444803","https://openalex.org/W2520430674","https://openalex.org/W2522940611","https://openalex.org/W2724890070","https://openalex.org/W2737094507","https://openalex.org/W2740578684","https://openalex.org/W2751249843","https://openalex.org/W2765366036","https://openalex.org/W2767887540","https://openalex.org/W2770525750","https://openalex.org/W2914625032","https://openalex.org/W2924259647","https://openalex.org/W2949734959","https://openalex.org/W3001208788","https://openalex.org/W3009931536","https://openalex.org/W3010242131","https://openalex.org/W3034963870","https://openalex.org/W3043075211","https://openalex.org/W3045642835","https://openalex.org/W3047057232","https://openalex.org/W3075397214","https://openalex.org/W3092233714","https://openalex.org/W3110964987","https://openalex.org/W3120426666","https://openalex.org/W3128511351","https://openalex.org/W3134976640","https://openalex.org/W3155353888","https://openalex.org/W3158076487","https://openalex.org/W3181367324","https://openalex.org/W6810827500"],"related_works":["https://openalex.org/W2235753890","https://openalex.org/W2729514902","https://openalex.org/W2767265881","https://openalex.org/W2102298087","https://openalex.org/W2183536701","https://openalex.org/W2974718886","https://openalex.org/W2786306966","https://openalex.org/W3212974055","https://openalex.org/W2158522959","https://openalex.org/W2116675934"],"abstract_inverted_index":{"Hyperspectral":[0,18],"Images":[1],"(HSIs)":[2],"have":[3,56],"been":[4],"utilized":[5],"in":[6,27,66],"many":[7],"fields":[8],"which":[9,54,81,129],"contain":[10],"spatial":[11,86,110,143],"and":[12,24,101,107,145,156],"spectral":[13,62,83,116,126,137,146],"features":[14,84,87,117],"of":[15,31,60,88,109,115,124,135],"objects":[16],"simultaneously.":[17],"image":[19,38,95],"matching":[20,39,68],"is":[21],"a":[22,28,74,153],"fundamental":[23],"critical":[25],"problem":[26],"wide":[29],"range":[30],"HSI":[32,50,52,67,77,100,160],"applications.":[33],"Feature":[34],"descriptors":[35,45,108,114,144,147],"for":[36,49,76,159],"grayscale":[37,94],"are":[40,46,64,118],"well":[41],"studied,":[42],"but":[43],"few":[44],"elaborately":[47],"designed":[48,119],"matching.":[51,161],"descriptors,":[53],"should":[55],"made":[57],"good":[58],"use":[59],"the":[61,93,113,122,125,132,136,142,149,166],"feature,":[63],"essential":[65],"tasks.":[69],"Therefore,":[70],"this":[71],"paper":[72],"presents":[73],"descriptor":[75,155],"matching,":[78],"called":[79],"HOSG-SIFT,":[80],"ensembles":[82],"with":[85,148],"objects.":[89],"First,":[90],"we":[91,140],"obtain":[92],"by":[96],"dimensional":[97],"reduction":[98],"from":[99],"apply":[102,157],"it":[103,158],"to":[104],"extract":[105],"keypoints":[106],"features.":[111],"Second,":[112],"based":[120],"on":[121],"histogram":[123],"gradient":[127],"(HOSG),":[128],"effectively":[130],"preserves":[131],"physical":[133],"significance":[134],"profile.":[138],"Third,":[139],"concatenate":[141],"same":[150],"weights":[151],"into":[152],"new":[154],"Experimental":[162],"results":[163],"demonstrate":[164],"that":[165],"proposed":[167],"HOSG-SIFT":[168],"performs":[169],"superior":[170],"against":[171],"traditional":[172],"feature":[173],"descriptors.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
