{"id":"https://openalex.org/W3205989767","doi":"https://doi.org/10.1109/igarss47720.2021.9554517","title":"Comparison Between Three Registration Methods in the Case of Non-Georeferenced Close-Range Multispectral Images","display_name":"Comparison Between Three Registration Methods in the Case of Non-Georeferenced Close-Range Multispectral Images","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3205989767","doi":"https://doi.org/10.1109/igarss47720.2021.9554517","mag":"3205989767"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554517","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":"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/A5061136209","display_name":"Claudio I. Fern\u00e1ndez","orcid":"https://orcid.org/0000-0003-4567-6904"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Claudio I. Fernandez","raw_affiliation_strings":["Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, NB, Canada"],"affiliations":[{"raw_affiliation_string":"Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, NB, Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110690104","display_name":"Ata Haddadi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161505","display_name":"A&L Canada Laboratories (Canada)","ror":"https://ror.org/04tnq4461","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210161505"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ata Haddadi","raw_affiliation_strings":["A&L Canada Laboratories Inc., London, ON, Canada"],"affiliations":[{"raw_affiliation_string":"A&L Canada Laboratories Inc., London, ON, Canada","institution_ids":["https://openalex.org/I4210161505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046913086","display_name":"Brigitte Leblon","orcid":null},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Brigitte Leblon","raw_affiliation_strings":["Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, NB, Canada"],"affiliations":[{"raw_affiliation_string":"Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, NB, Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006022882","display_name":"Jinfei Wang","orcid":"https://orcid.org/0000-0002-8404-0530"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jinfei Wang","raw_affiliation_strings":["Western University, London, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Western University, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054335175","display_name":"Keri Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161505","display_name":"A&L Canada Laboratories (Canada)","ror":"https://ror.org/04tnq4461","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210161505"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Keri Wang","raw_affiliation_strings":["A&L Canada Laboratories Inc., London, ON, Canada"],"affiliations":[{"raw_affiliation_string":"A&L Canada Laboratories Inc., London, ON, Canada","institution_ids":["https://openalex.org/I4210161505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061136209"],"corresponding_institution_ids":["https://openalex.org/I106938459"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40421569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"37","issue":null,"first_page":"8205","last_page":"8208"},"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":0.9991000294685364,"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":0.9991000294685364,"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":0.9958000183105469,"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"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.7854463458061218},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7369248867034912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6740357875823975},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6351360082626343},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5979722142219543},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5920400023460388},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5798395872116089},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5407313108444214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4875199496746063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47173038125038147},{"id":"https://openalex.org/keywords/geometric-transformation","display_name":"Geometric transformation","score":0.4594579041004181},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.4516408443450928},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42633748054504395},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.42609769105911255},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1911706030368805},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1351785659790039},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08375659584999084}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.7854463458061218},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7369248867034912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6740357875823975},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6351360082626343},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5979722142219543},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5920400023460388},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5798395872116089},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5407313108444214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4875199496746063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47173038125038147},{"id":"https://openalex.org/C56435381","wikidata":"https://www.wikidata.org/wiki/Q1196371","display_name":"Geometric transformation","level":3,"score":0.4594579041004181},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4516408443450928},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42633748054504395},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.42609769105911255},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1911706030368805},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1351785659790039},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08375659584999084},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554517","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","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W562590299","https://openalex.org/W1970067734","https://openalex.org/W1996494519","https://openalex.org/W2046434485","https://openalex.org/W2069267285","https://openalex.org/W2085261163","https://openalex.org/W2102148524","https://openalex.org/W2111308925","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W2165280182","https://openalex.org/W2165949425","https://openalex.org/W2599933295","https://openalex.org/W2982340776","https://openalex.org/W2999936618","https://openalex.org/W3016470195","https://openalex.org/W4206610958","https://openalex.org/W4251354162","https://openalex.org/W6675297433"],"related_works":["https://openalex.org/W2089006188","https://openalex.org/W138041562","https://openalex.org/W3015686902","https://openalex.org/W1563182311","https://openalex.org/W2156395569","https://openalex.org/W4312759412","https://openalex.org/W2087054060","https://openalex.org/W2390287618","https://openalex.org/W2126232568","https://openalex.org/W4286728588"],"abstract_inverted_index":{"This":[0],"study":[1],"evaluated":[2],"three":[3],"geometric":[4,54],"transformations":[5,111],"in":[6,87],"an":[7,99],"image":[8],"registration":[9],"method":[10],"applied":[11],"to":[12,89],"non-georeferenced":[13],"multispectral":[14],"images":[15,73],"acquired":[16],"at":[17],"close":[18],"range":[19],"over":[20],"greenhouse":[21],"cucumber":[22],"plants":[23],"with":[24,106,118],"a":[25,147],"Micasense":[26],"<sup":[27],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[28],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u00ae</sup>":[29],"RedEdge":[30],"camera.":[31],"The":[32],"detection":[33],"of":[34,65,93,101,113,140],"matching":[35,44,63],"points":[36,45,64],"was":[37,132],"performed":[38],"using":[39,48],"SURF":[40],"features,":[41],"and":[42,58,70,79,109,112,145],"outliers":[43],"were":[46],"removed":[47],"the":[49,62,66,75,81,91,107,119,123,129,133],"MSAC":[50],"algorithm.":[51],"For":[52],"each":[53,94],"transformation":[55,131,135],"(affine,":[56],"similarity,":[57],"projective),":[59],"we":[60],"mapped":[61],"blue,":[67],"green,":[68],"red,":[69],"NIR":[71],"band":[72,77,124],"into":[74],"red-edge":[76],"space":[78],"computed":[80],"root":[82],"mean":[83],"square":[84],"error":[85],"(RMSE":[86],"pixel)":[88],"estimate":[90],"accuracy":[92],"transformation.":[95],"Our":[96],"results":[97],"achieved":[98],"RMSE":[100],"less":[102,114,141],"than":[103,115,142],"1":[104,143],"pixel":[105,144],"similarity":[108],"affine":[110,134],"2":[116],"pixels":[117],"projective":[120],"transformation,":[121],"whatever":[122],"image.":[125],"We":[126],"determined":[127],"that":[128],"best":[130],"because":[136],"it":[137],"produces":[138],"RMSEs":[139],"having":[146],"Gaussian":[148],"distribution.":[149]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}