{"id":"https://openalex.org/W2901136880","doi":"https://doi.org/10.1109/igarss.2018.8517762","title":"A Comparison of Hyper-Sharpening Algorithms for Fusing VNIR and SWIR Bands of WorldView-3 Satellite Imagery","display_name":"A Comparison of Hyper-Sharpening Algorithms for Fusing VNIR and SWIR Bands of WorldView-3 Satellite Imagery","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901136880","doi":"https://doi.org/10.1109/igarss.2018.8517762","mag":"2901136880"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8517762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","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/A5080895438","display_name":"Honglyun Park","orcid":"https://orcid.org/0000-0002-0599-0205"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Honglyun Park","raw_affiliation_strings":["School of Civil Engineering, Chungbuk National University, Cheongju, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Chungbuk National University, Cheongju, Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005671801","display_name":"Jaewan Choi","orcid":"https://orcid.org/0000-0003-3967-6481"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaewan Choi","raw_affiliation_strings":["School of Civil Engineering, Chungbuk National University, Cheongju, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Chungbuk National University, Cheongju, Korea","institution_ids":["https://openalex.org/I163753206"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I163753206"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.18738626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"70","issue":null,"first_page":"5124","last_page":"5127"},"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":0.9990000128746033,"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":0.9904999732971191,"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/vnir","display_name":"VNIR","score":0.9052858948707581},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.8876515626907349},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.6141404509544373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5860280394554138},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5462576150894165},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5349629521369934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5150554180145264},{"id":"https://openalex.org/keywords/satellite-image","display_name":"Satellite image","score":0.4962082505226135},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4505017399787903},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4353538155555725},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43117785453796387},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2913007140159607},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21081629395484924},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.13557851314544678},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09924763441085815}],"concepts":[{"id":"https://openalex.org/C5457282","wikidata":"https://www.wikidata.org/wiki/Q7907352","display_name":"VNIR","level":3,"score":0.9052858948707581},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.8876515626907349},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.6141404509544373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5860280394554138},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5462576150894165},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5349629521369934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5150554180145264},{"id":"https://openalex.org/C2985301230","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite image","level":3,"score":0.4962082505226135},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4505017399787903},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4353538155555725},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43117785453796387},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2913007140159607},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21081629395484924},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.13557851314544678},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09924763441085815},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8517762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","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":15,"referenced_works":["https://openalex.org/W106317687","https://openalex.org/W1495168473","https://openalex.org/W2121652279","https://openalex.org/W2150630348","https://openalex.org/W2171211028","https://openalex.org/W2279059428","https://openalex.org/W2289534791","https://openalex.org/W2396384022","https://openalex.org/W2625894731","https://openalex.org/W2736577868","https://openalex.org/W2745963626","https://openalex.org/W2765674230","https://openalex.org/W4285719527","https://openalex.org/W6604338981","https://openalex.org/W6741131446"],"related_works":["https://openalex.org/W2901136880","https://openalex.org/W3175008037","https://openalex.org/W2366718670","https://openalex.org/W2363258459","https://openalex.org/W2535279172","https://openalex.org/W1411828795","https://openalex.org/W2588777070","https://openalex.org/W2153672329","https://openalex.org/W3009723898","https://openalex.org/W2162552362"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"visible":[3],"and":[4,7,49,60,69],"near-infrared":[5],"(VNIR)":[6],"shortwave":[8],"infrared":[9],"(SWIR)":[10],"bands":[11],"of":[12,21],"WorldView-3":[13],"imagery":[14],"were":[15,53,63],"sharpened":[16],"to":[17,33,55],"the":[18,66],"spatial":[19],"resolution":[20],"a":[22,34],"panchromatic":[23,40],"image.":[24,41],"We":[25],"performed":[26,64],"experiments":[27],"on":[28,46],"three":[29],"band":[30,57],"schemes":[31],"according":[32],"method":[35],"for":[36],"generating":[37],"an":[38],"optimal":[39],"Various":[42],"pan-sharpening":[43],"algorithms":[44],"based":[45],"component-substitution":[47],"(CS)":[48],"multi-resolution":[50],"analysis":[51],"(MRA)":[52],"applied":[54],"each":[56],"scheme.":[58],"Quantitative":[59],"qualitative":[61],"assessments":[62],"using":[65],"quality":[67],"indices":[68],"visual":[70],"inspection.":[71]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}