{"id":"https://openalex.org/W2541413306","doi":"https://doi.org/10.1109/aipr.2009.5466291","title":"Spatial-spectral cross correlation for reliable multispectral image registration","display_name":"Spatial-spectral cross correlation for reliable multispectral image registration","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2541413306","doi":"https://doi.org/10.1109/aipr.2009.5466291","mag":"2541413306"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2009.5466291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2009.5466291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009)","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/A5026250308","display_name":"Zhengwei Yang","orcid":"https://orcid.org/0000-0002-6532-2663"},"institutions":[{"id":"https://openalex.org/I1287640093","display_name":"National Agricultural Statistics Service","ror":"https://ror.org/04dpymk59","country_code":"US","type":"government","lineage":["https://openalex.org/I1287640093","https://openalex.org/I1336096307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhengwei Yang","raw_affiliation_strings":["USDA, NASS, Research and Development Division, 3251 Old Lee Highway, Room 305, Fairfax, VA 22030","Research and Development Division, USDA NASS, Fairfax, VA, USA"],"affiliations":[{"raw_affiliation_string":"USDA, NASS, Research and Development Division, 3251 Old Lee Highway, Room 305, Fairfax, VA 22030","institution_ids":["https://openalex.org/I1287640093"]},{"raw_affiliation_string":"Research and Development Division, USDA NASS, Fairfax, VA, USA","institution_ids":["https://openalex.org/I1287640093"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063815871","display_name":"Guangrong Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangrong Shen","raw_affiliation_strings":["Shanghai Jiaotong University, 200240, Shanghai, China","Shanghai Jiaotong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiaotong University, 200240, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392006","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-5477-1017"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Shanghai Jiaotong University, 200240, Shanghai, China","Shanghai Jiaotong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiaotong University, 200240, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015464151","display_name":"Zhenhua Qian","orcid":"https://orcid.org/0000-0002-4681-2747"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Qian","raw_affiliation_strings":["Shanghai Jiaotong University, 200240, Shanghai, China","Shanghai Jiaotong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiaotong University, 200240, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100847031","display_name":"Ying Ke","orcid":"https://orcid.org/0000-0001-8511-109X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Ke","raw_affiliation_strings":["USDA, FSA, GIS Office, 1400 Independence Avenue, SW Washington, D.C. 20250, U.S.A","USDA FSA, GIS Office, Washington D.C., DC, USA"],"affiliations":[{"raw_affiliation_string":"USDA, FSA, GIS Office, 1400 Independence Avenue, SW Washington, D.C. 20250, U.S.A","institution_ids":[]},{"raw_affiliation_string":"USDA FSA, GIS Office, Washington D.C., DC, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026250308"],"corresponding_institution_ids":["https://openalex.org/I1287640093"],"apc_list":null,"apc_paid":null,"fwci":0.3236,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67230608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9973999857902527,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9969000220298767,"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":0.8591751456260681},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6808425784111023},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6444366574287415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.604023277759552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5657472610473633},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.55451899766922},{"id":"https://openalex.org/keywords/cross-correlation","display_name":"Cross-correlation","score":0.5378427505493164},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5094423890113831},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.4933127462863922},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4794099032878876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4768346846103668},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.47324901819229126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40663278102874756},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34433621168136597},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19664475321769714},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17951592803001404}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8591751456260681},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6808425784111023},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6444366574287415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.604023277759552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5657472610473633},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.55451899766922},{"id":"https://openalex.org/C163018871","wikidata":"https://www.wikidata.org/wiki/Q1302587","display_name":"Cross-correlation","level":2,"score":0.5378427505493164},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5094423890113831},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.4933127462863922},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4794099032878876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4768346846103668},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.47324901819229126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40663278102874756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34433621168136597},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19664475321769714},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17951592803001404},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr.2009.5466291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2009.5466291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5099999904632568},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1520822062","https://openalex.org/W1530454533","https://openalex.org/W1533758240","https://openalex.org/W1552429461","https://openalex.org/W1963623641","https://openalex.org/W1963943638","https://openalex.org/W1990005524","https://openalex.org/W2032167559","https://openalex.org/W2033554200","https://openalex.org/W2053197265","https://openalex.org/W2097407922","https://openalex.org/W2111933145","https://openalex.org/W2116449393","https://openalex.org/W2118877769","https://openalex.org/W2130082744","https://openalex.org/W2133584444","https://openalex.org/W2137047060","https://openalex.org/W2138514272","https://openalex.org/W2152990774","https://openalex.org/W2160383268","https://openalex.org/W2163009106","https://openalex.org/W2169042200","https://openalex.org/W2169482232","https://openalex.org/W2187619935","https://openalex.org/W6631012428","https://openalex.org/W6631868027","https://openalex.org/W6677548441","https://openalex.org/W6684731838"],"related_works":["https://openalex.org/W2128126485","https://openalex.org/W1995889410","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W1752760603","https://openalex.org/W2777937183","https://openalex.org/W2108633818","https://openalex.org/W2126922921","https://openalex.org/W1634492240","https://openalex.org/W2138664739"],"abstract_inverted_index":{"This":[0,13,31],"paper":[1],"presents":[2],"a":[3,20,24,28,46],"normalized":[4,63,94,104],"spatial-spectral":[5,29,33,95],"cross":[6,65,96,106],"correlation":[7,16,43,66,97,107],"method":[8,14,36,98,108],"for":[9,45,130],"multispectral":[10,112,139],"image":[11,140],"registration.":[12,141],"generalized":[15],"coefficients":[17],"defined":[18],"in":[19,109],"spatial":[21,64,105],"domain":[22,26],"or":[23],"spectral":[25,126],"into":[27],"domain.":[30],"novel":[32],"signature":[34],"based":[35],"significantly":[37],"increases":[38,51],"the":[39,42,52,61,72,78,93,102,115,132,137,147,157],"discrimination":[40],"of":[41,136],"coefficient":[44],"given":[47],"template":[48],"window":[49],"size,":[50],"registration":[53,159],"reliability,":[54],"robustness":[55,133],"and":[56,75,134],"accuracy,":[57],"as":[58],"compared":[59],"with":[60,84,152],"classic":[62],"method.":[67],"It":[68],"is":[69,82,99,144],"invariant":[70],"to":[71,77,101],"dynamic":[73],"range":[74],"robust":[76],"noise":[79],"yet":[80],"it":[81,143],"straightforward":[83],"minimum":[85],"preprocessing":[86],"required.":[87],"The":[88],"experimental":[89,116],"results":[90,117],"show":[91,119],"that":[92,120,146],"superior":[100],"traditional":[103],"effective":[110],"registering":[111],"images.":[113],"However,":[114],"also":[118],"only":[121],"those":[122],"statistically":[123],"highly":[124],"independent":[125],"bands":[127,154],"are":[128],"helpful":[129],"enhancing":[131],"reliability":[135],"NSSCC":[138],"Specifically,":[142],"found":[145],"near":[148],"infrared":[149],"band":[150],"together":[151],"visual":[153],"will":[155],"gives":[156],"best":[158],"results.":[160]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
