{"id":"https://openalex.org/W3034262764","doi":"https://doi.org/10.1109/jstars.2020.3001022","title":"Automatic Stitching for Hyperspectral Images Using Robust Feature Matching and Elastic Warp","display_name":"Automatic Stitching for Hyperspectral Images Using Robust Feature Matching and Elastic Warp","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3034262764","doi":"https://doi.org/10.1109/jstars.2020.3001022","mag":"3034262764"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2020.3001022","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3001022","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09112681.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09112681.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101899154","display_name":"Yujie Zhang","orcid":"https://orcid.org/0000-0002-3524-9047"},"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":"Yujie Zhang","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073492013","display_name":"Zhiying Wan","orcid":null},"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":"Zhiying Wan","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060407786","display_name":"Xingyu Jiang","orcid":"https://orcid.org/0000-0001-9790-8856"},"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":"Xingyu Jiang","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9790-8856","affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","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, China"],"raw_orcid":"https://orcid.org/0000-0002-0239-8580","affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.4375,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.84219507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"3145","last_page":"3154"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9980999827384949,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/image-stitching","display_name":"Image stitching","score":0.9666906595230103},{"id":"https://openalex.org/keywords/panorama","display_name":"Panorama","score":0.9004791378974915},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8983519077301025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.748548150062561},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.734693169593811},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7003969550132751},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5079951882362366},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47492748498916626},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.464089572429657},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.42980140447616577},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4240812063217163},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3441302180290222},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30942994356155396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18500232696533203}],"concepts":[{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.9666906595230103},{"id":"https://openalex.org/C2780580889","wikidata":"https://www.wikidata.org/wiki/Q41363","display_name":"Panorama","level":2,"score":0.9004791378974915},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8983519077301025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.748548150062561},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.734693169593811},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7003969550132751},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5079951882362366},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47492748498916626},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.464089572429657},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.42980140447616577},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4240812063217163},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3441302180290222},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30942994356155396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18500232696533203},{"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},{"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/jstars.2020.3001022","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3001022","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09112681.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:eefbabb3463f47ad8d92e8c783bbd703","is_oa":true,"landing_page_url":"https://doaj.org/article/eefbabb3463f47ad8d92e8c783bbd703","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3145-3154 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2020.3001022","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3001022","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09112681.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"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/W3034262764.pdf","grobid_xml":"https://content.openalex.org/works/W3034262764.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1561797649","https://openalex.org/W1677409904","https://openalex.org/W1963246386","https://openalex.org/W1974619425","https://openalex.org/W1979076920","https://openalex.org/W1983683849","https://openalex.org/W2000370119","https://openalex.org/W2010319424","https://openalex.org/W2046434485","https://openalex.org/W2059729733","https://openalex.org/W2070789837","https://openalex.org/W2071730188","https://openalex.org/W2085261163","https://openalex.org/W2106199912","https://openalex.org/W2114712988","https://openalex.org/W2119605622","https://openalex.org/W2124287616","https://openalex.org/W2126060993","https://openalex.org/W2131697388","https://openalex.org/W2151103935","https://openalex.org/W2520293138","https://openalex.org/W2740578684","https://openalex.org/W2751249843","https://openalex.org/W2770525750","https://openalex.org/W2800324071","https://openalex.org/W2808776742","https://openalex.org/W2898541470","https://openalex.org/W2913572003","https://openalex.org/W2921280405","https://openalex.org/W2936424683","https://openalex.org/W2964428797","https://openalex.org/W2970141505","https://openalex.org/W2977388286","https://openalex.org/W2988726954","https://openalex.org/W3100499011"],"related_works":["https://openalex.org/W2371409747","https://openalex.org/W4399374666","https://openalex.org/W2070701622","https://openalex.org/W1943330140","https://openalex.org/W2142165007","https://openalex.org/W2005176409","https://openalex.org/W4387896115","https://openalex.org/W2349684670","https://openalex.org/W2800143143","https://openalex.org/W2050819065"],"abstract_inverted_index":{"Hyperspectral":[0],"images,":[1],"which":[2],"contain":[3],"not":[4],"only":[5],"spatial":[6],"information":[7,192],"but":[8],"also":[9],"rich":[10],"spectral":[11],"information,":[12],"have":[13,206],"been":[14],"extensively":[15],"applied":[16],"to":[17,33,41,52,77,110,164,175,197],"the":[18,59,62,67,79,119,166,182,186,191,199,208],"fields":[19],"of":[20,44,61,156,168,193,210],"agriculture,":[21],"urban":[22],"planning,":[23],"etc.":[24],"However,":[25],"it":[26,39],"is":[27,109,174],"difficult":[28],"for":[29,91,148],"a":[30,35,54,65,122],"single":[31,123],"image":[32,49,88],"cover":[34],"large":[36],"area.":[37],"Therefore,":[38],"requires":[40],"take":[42],"photos":[43],"various":[45],"parts":[46],"and":[47,98,117,189],"apply":[48],"stitching":[50,89],"technology":[51],"obtain":[53,118,165],"panoramic":[55,201],"hyperspectral":[56,92,202],"image.":[57,203],"When":[58],"viewpoint":[60],"scene":[63],"changes":[64],"lot,":[66],"ghost":[68],"issue":[69],"will":[70],"occur":[71],"with":[72],"traditional":[73],"methods.":[74],"In":[75,125],"order":[76],"get":[78,198],"high-precision":[80],"resultant":[81],"panoramas,":[82],"this":[83],"article":[84],"proposes":[85],"an":[86,138],"automatic":[87],"algorithm":[90,140],"images":[93],"using":[94],"robust":[95,150,161],"feature":[96,129,133],"matching":[97],"elastic":[99,162],"warp.":[100],"Our":[101],"method":[102],"contains":[103],"two":[104,154],"stages.":[105],"The":[106,171],"first":[107,187],"stage":[108,173,188],"choose":[111],"one":[112],"band":[113,116],"as":[114],"reference":[115],"panorama":[120,167],"in":[121,185],"band.":[124,170],"particular,":[126],"we":[127,136,159],"extract":[128],"points":[130],"by":[131],"scale-invariant":[132],"transform.":[134],"Then,":[135],"propose":[137],"efficient":[139],"called":[141],"multiscale":[142],"top":[143],"K":[144],"rank":[145],"preservation":[146],"algorithm,":[147],"establishing":[149],"point":[151],"correspondences":[152],"between":[153],"sets":[155],"points.":[157],"Next,":[158],"adopt":[160],"warp":[163],"each":[169],"second":[172],"stitch":[176],"all":[177,194],"remaining":[178],"bands":[179,195],"based":[180],"on":[181],"transformation":[183],"obtained":[184],"fuse":[190],"together":[196],"final":[200],"Extensive":[204],"experiments":[205],"demonstrated":[207],"effectiveness":[209],"our":[211],"proposed":[212],"method.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}
