{"id":"https://openalex.org/W3119748202","doi":"https://doi.org/10.1145/3436369.3437446","title":"Improving Object Detection of Remotely Sensed Multispectral Imagery Via Pan-sharpening","display_name":"Improving Object Detection of Remotely Sensed Multispectral Imagery Via Pan-sharpening","publication_year":2020,"publication_date":"2020-10-30","ids":{"openalex":"https://openalex.org/W3119748202","doi":"https://doi.org/10.1145/3436369.3437446","mag":"3119748202"},"language":"en","primary_location":{"id":"doi:10.1145/3436369.3437446","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3436369.3437446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition","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/A5100352673","display_name":"Feng Chen","orcid":"https://orcid.org/0000-0001-7849-2023"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Chen","raw_affiliation_strings":["College of Computer and Information Engineering, Xiamen University of Technology; Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen, China and Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China","College of Computer and Information Engineering, Xiamen University of Technology"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Xiamen University of Technology; Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen, China and Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]},{"raw_affiliation_string":"College of Computer and Information Engineering, Xiamen University of Technology","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038453526","display_name":"Shenlong Lou","orcid":"https://orcid.org/0000-0003-1350-9351"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shenlong Lou","raw_affiliation_strings":["UNISOC, Pudong New Area, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"UNISOC, Pudong New Area, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104028030","display_name":"Yuejun Song","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103541","display_name":"Institute of Soil and Water Conservation","ror":"https://ror.org/013wv8d67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210103541","https://openalex.org/I4210155611"]},{"id":"https://openalex.org/I4210143877","display_name":"Jiangxi Institute of Red Soil","ror":"https://ror.org/04vrkaw11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210143877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuejun Song","raw_affiliation_strings":["Jiangxi Key Laboratory of Soil Erosion and Prevention; Jiangxi Institute of Soil and Water Conservation, Nanchang, Jiangxi Province, China","Jiangxi Key Laboratory of Soil Erosion and Prevention"],"affiliations":[{"raw_affiliation_string":"Jiangxi Key Laboratory of Soil Erosion and Prevention; Jiangxi Institute of Soil and Water Conservation, Nanchang, Jiangxi Province, China","institution_ids":["https://openalex.org/I4210103541"]},{"raw_affiliation_string":"Jiangxi Key Laboratory of Soil Erosion and Prevention","institution_ids":["https://openalex.org/I4210143877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100352673"],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":null,"apc_paid":null,"fwci":0.1887,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59484096,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"136","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980000257492065,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9865999817848206,"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/sharpening","display_name":"Sharpening","score":0.9445384740829468},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.9358397126197815},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.9347769021987915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6535871624946594},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6309534311294556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5942916870117188},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5928659439086914},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5528016686439514},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5486004948616028},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5141870975494385},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.4933604300022125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2589583396911621},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2170238196849823},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19039466977119446}],"concepts":[{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.9445384740829468},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.9358397126197815},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9347769021987915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6535871624946594},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6309534311294556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5942916870117188},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5928659439086914},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5528016686439514},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5486004948616028},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5141870975494385},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.4933604300022125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2589583396911621},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2170238196849823},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19039466977119446}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3436369.3437446","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3436369.3437446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1553305639","https://openalex.org/W2000323021","https://openalex.org/W2001800591","https://openalex.org/W2064366277","https://openalex.org/W2088538848","https://openalex.org/W2139529730","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2302265399","https://openalex.org/W2303172903","https://openalex.org/W2587456632","https://openalex.org/W2792862011","https://openalex.org/W2952335785","https://openalex.org/W2984586674","https://openalex.org/W3011100502","https://openalex.org/W3023991509","https://openalex.org/W4234552385"],"related_works":["https://openalex.org/W2726689079","https://openalex.org/W2124952510","https://openalex.org/W1502637513","https://openalex.org/W2013199662","https://openalex.org/W2158394102","https://openalex.org/W2375311607","https://openalex.org/W1930929277","https://openalex.org/W2240559849","https://openalex.org/W4385690043","https://openalex.org/W1766703137"],"abstract_inverted_index":{"Pan-sharpening":[0],"is":[1],"used":[2,119,173],"to":[3,20,150,157,192],"fuse":[4],"multispectral":[5,29,83,88,160],"images":[6,23,33,89,95,145,168],"with":[7,16,25,60,91,153,170],"low":[8],"spatial":[9,18,27],"resolution":[10,19],"and":[11,28,125],"a":[12,44],"panchromatic":[13],"(Pan)":[14],"image":[15,190],"high":[17,26],"generate":[21],"synthesized":[22],"featured":[24],"properties.":[30],"The":[31,138],"pan-sharpened":[32,52,144,167],"are":[34],"assumed":[35],"valuable":[36],"for":[37,65,78],"further":[38],"application.":[39],"However,":[40],"there":[41],"have":[42,67],"been":[43,68],"few":[45],"investigations":[46],"on":[47],"the":[48,51,61,79,92,101,128,143,158,166,171,183],"effectiveness":[49],"of":[50,165,182],"products":[53],"in":[54,82,111,120,174,189],"practice":[55],"(i.e.":[56],"object":[57,80,129,151,195],"detection),":[58],"compared":[59,156],"fact":[62],"many":[63],"algorithms":[64,117,172,185],"pan-sharpening":[66,76,121,175,184],"developed.":[69],"In":[70],"this":[71,178],"paper,":[72],"improvements":[73],"contributed":[74],"by":[75,97,134],"process":[77],"detection":[81,130,152,163,196],"imagery":[84],"were":[85,114,122,132],"investigated.":[86],"Original":[87],"along":[90],"corresponding":[93],"Pan":[94],"acquired":[96],"Gaojing-1":[98],"(SuperView-1,":[99],"as":[100],"first":[102],"sub-meter":[103],"high-resolution":[104],"commercial":[105],"remote":[106],"sensing":[107],"satellite":[108,113],"independently":[109],"developed":[110],"China)":[112],"used.":[115],"Seven":[116],"widely":[118],"applied":[123],"separately":[124],"compared,":[126],"while":[127],"experiments":[131],"done":[133],"implementing":[135],"Faster":[136,154],"RCNN.":[137],"preliminary":[139],"findings":[140],"show:":[141],"(1)":[142],"present":[146],"obviously":[147],"positive":[148],"contribution":[149],"RCNN,":[155],"original":[159],"images;":[161],"(2)":[162],"results":[164],"vary":[169],"process.":[176],"Furthermore,":[177],"investigation":[179],"suggests":[180],"none":[181],"showed":[186],"absolute":[187],"advantages":[188],"fusion":[191],"achieve":[193],"better":[194],"consequently.":[197]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}