{"id":"https://openalex.org/W2164543617","doi":"https://doi.org/10.1109/igarss.2007.4422811","title":"A novel method for multispectral aerial image registration","display_name":"A novel method for multispectral aerial image registration","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2164543617","doi":"https://doi.org/10.1109/igarss.2007.4422811","mag":"2164543617"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2007.4422811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4422811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Geoscience and Remote Sensing Symposium","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/A5083275126","display_name":"Jianying Jia","orcid":"https://orcid.org/0000-0002-0644-1224"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Jianying","raw_affiliation_strings":["Institute of RS and GIS, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of RS and GIS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zeng Qiming","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeng Qiming","raw_affiliation_strings":["Institute of RS and GIS, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of RS and GIS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.1642,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82163797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"31","issue":null,"first_page":"385","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991999864578247,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"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/multispectral-image","display_name":"Multispectral image","score":0.9450666904449463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7537041306495667},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7367991805076599},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.7242669463157654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7032492160797119},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6186211109161377},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.5240029096603394},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5074364542961121},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.5005979537963867},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.456820547580719}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.9450666904449463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7537041306495667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7367991805076599},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7242669463157654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7032492160797119},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6186211109161377},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.5240029096603394},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5074364542961121},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.5005979537963867},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.456820547580719},{"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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2007.4422811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4422811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2058306009","https://openalex.org/W2147555557","https://openalex.org/W2170120409","https://openalex.org/W2371236825"],"related_works":["https://openalex.org/W2128126485","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2777937183","https://openalex.org/W2108633818","https://openalex.org/W1752760603","https://openalex.org/W1995889410","https://openalex.org/W1517037119","https://openalex.org/W4389779246","https://openalex.org/W1545767927"],"abstract_inverted_index":{"This":[0],"paper":[1,96],"presents":[2],"a":[3],"novel":[4,106],"method":[5,92,107],"for":[6,87],"multispectral":[7,14,19,110],"aerial":[8],"image":[9,38,47],"registration.":[10],"Different":[11],"bands":[12,56],"of":[13,30,49,72],"images":[15],"taken":[16],"by":[17],"non-coaxial":[18],"camera":[20,32],"system":[21,33],"usually":[22],"cannot":[23],"overlap":[24],"accurately":[25],"due":[26],"to":[27],"the":[28,31],"non-coaxiality":[29],"and":[34],"assembly":[35],"error.":[36],"Therefore,":[37],"registration":[39,48],"is":[40,57,70,78],"required.":[41],"There":[42],"are":[43],"three":[44,99],"problems":[45,100],"in":[46,94],"different":[50,55,81],"bands.":[51],"First,":[52],"similarity":[53],"between":[54,80],"rather":[58],"poor,":[59],"which":[60,83],"makes":[61],"control":[62,88],"points":[63,89],"selection":[64],"difficult.":[65],"Second,":[66],"polynomial":[67],"transform":[68],"model":[69],"lack":[71],"imaging":[73],"geometry":[74],"foundation.":[75],"Third,":[76],"there":[77],"translation":[79],"bands,":[82],"also":[84],"causes":[85],"difficulties":[86],"selection.":[90],"The":[91],"presented":[93],"this":[95,105],"solves":[97],"these":[98],"preliminarily.":[101],"Finally,":[102],"we":[103],"validated":[104],"using":[108],"real":[109],"images.":[111]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
