{"id":"https://openalex.org/W3082927027","doi":"https://doi.org/10.3390/rs12172796","title":"IHS-GTF: A Fusion Method for Optical and Synthetic Aperture Radar Data","display_name":"IHS-GTF: A Fusion Method for Optical and Synthetic Aperture Radar Data","publication_year":2020,"publication_date":"2020-08-28","ids":{"openalex":"https://openalex.org/W3082927027","doi":"https://doi.org/10.3390/rs12172796","mag":"3082927027"},"language":"en","primary_location":{"id":"doi:10.3390/rs12172796","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12172796","pdf_url":"https://www.mdpi.com/2072-4292/12/17/2796/pdf","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/12/17/2796/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070629154","display_name":"Zhenfeng Shao","orcid":"https://orcid.org/0000-0003-4587-6826"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenfeng Shao","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031057588","display_name":"Wenfu Wu","orcid":"https://orcid.org/0000-0003-2525-2119"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenfu Wu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077683447","display_name":"Songjing Guo","orcid":"https://orcid.org/0000-0002-4164-422X"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songjing Guo","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan 430074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031057588"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":7.2672,"has_fulltext":true,"cited_by_count":58,"citation_normalized_percentile":{"value":0.97259435,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"12","issue":"17","first_page":"2796","last_page":"2796"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9977999925613403,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7232619524002075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.677647590637207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6717013120651245},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.629645824432373},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6046777367591858},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5836129188537598},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5188342332839966},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.47177648544311523},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4543269872665405},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32526642084121704},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27218833565711975},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10493782162666321}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7232619524002075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.677647590637207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6717013120651245},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.629645824432373},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6046777367591858},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5836129188537598},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5188342332839966},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.47177648544311523},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4543269872665405},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32526642084121704},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27218833565711975},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10493782162666321},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12172796","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12172796","pdf_url":"https://www.mdpi.com/2072-4292/12/17/2796/pdf","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e16ad0b8d9214933b1ea5e746b14a27a","is_oa":true,"landing_page_url":"https://doaj.org/article/e16ad0b8d9214933b1ea5e746b14a27a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 12, Iss 17, p 2796 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/17/2796/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12172796","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 12; Issue 17; Pages: 2796","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12172796","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12172796","pdf_url":"https://www.mdpi.com/2072-4292/12/17/2796/pdf","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G4252305548","display_name":null,"funder_award_id":"41771454","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6096795946","display_name":null,"funder_award_id":"2018CFA007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6346682572","display_name":null,"funder_award_id":"61671332","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6366554838","display_name":null,"funder_award_id":"41771452","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8406457265","display_name":null,"funder_award_id":"61671332, 41771452, and 41771454","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326938","display_name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing","ror":"https://ror.org/02bpap860"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3082927027.pdf","grobid_xml":"https://content.openalex.org/works/W3082927027.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1522046140","https://openalex.org/W1996534964","https://openalex.org/W1998999283","https://openalex.org/W2012974565","https://openalex.org/W2021348799","https://openalex.org/W2046888627","https://openalex.org/W2092075602","https://openalex.org/W2096349624","https://openalex.org/W2105090634","https://openalex.org/W2105514275","https://openalex.org/W2116702374","https://openalex.org/W2117853853","https://openalex.org/W2136813498","https://openalex.org/W2138331510","https://openalex.org/W2161241309","https://openalex.org/W2167027097","https://openalex.org/W2217821315","https://openalex.org/W2247062920","https://openalex.org/W2266694576","https://openalex.org/W2331774231","https://openalex.org/W2336873346","https://openalex.org/W2477078516","https://openalex.org/W2542417043","https://openalex.org/W2557186959","https://openalex.org/W2576720772","https://openalex.org/W2600006874","https://openalex.org/W2622537370","https://openalex.org/W2754395699","https://openalex.org/W2768861775","https://openalex.org/W2781850144","https://openalex.org/W2883105896","https://openalex.org/W2897041887","https://openalex.org/W2914757358","https://openalex.org/W2964808389","https://openalex.org/W2976386249","https://openalex.org/W2983382698","https://openalex.org/W2999000103","https://openalex.org/W3010761711","https://openalex.org/W3014060899","https://openalex.org/W3015329076","https://openalex.org/W3042689508","https://openalex.org/W6631230401","https://openalex.org/W6680725738","https://openalex.org/W6688739514","https://openalex.org/W6703543952","https://openalex.org/W6744199141"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331","https://openalex.org/W2095903272"],"abstract_inverted_index":{"Optical":[0],"and":[1,20,37,56,69,74,103,117,128,130,151,154,180,187,216],"Synthetic":[2],"Aperture":[3],"Radar":[4],"(SAR)":[5],"fusion":[6,18,40,64,111],"is":[7,14,51,95,120,194],"addressed":[8],"in":[9],"this":[10,32,108],"paper.":[11],"Intensity\u2013Hue\u2013Saturation":[12],"(IHS)":[13],"an":[15,66],"easily":[16],"implemented":[17],"method":[19,33,145,212],"can":[21],"separate":[22],"Red\u2013Green\u2013Blue":[23],"(RGB)":[24],"images":[25,39,59,105,119,138],"into":[26],"three":[27],"independent":[28],"components;":[29],"however,":[30],"using":[31,200],"directly":[34],"for":[35,54,115,213],"optical":[36,102,116,201,215],"SAR":[38,104,118,217],"will":[41],"cause":[42],"spectral":[43,181],"distortion.":[44],"The":[45,143,171,204],"Gradient":[46],"Transfer":[47],"Fusion":[48],"(GTF)":[49],"algorithm":[50,80,112],"proposed":[52,144,185,211],"firstly":[53],"infrared":[55],"gray":[57],"visible":[58],"fusion,":[60],"which":[61,94,122],"formulates":[62],"image":[63,166,202],"as":[65],"optimization":[67],"problem":[68],"keeps":[70],"the":[71,79,83,91,98,124,132,136,164,174,188,207,210],"radiation":[72],"information":[73,182],"spatial":[75,84,133,178],"details":[76,85,134,179],"simultaneously.":[77],"However,":[78],"assumes":[81],"that":[82,198],"only":[86],"come":[87],"from":[88,135,163],"one":[89],"of":[90,101,126,177,191,199,209],"source":[92],"images,":[93],"inconsistent":[96],"with":[97,167],"actual":[99],"situation":[100],"fusion.":[106],"In":[107],"paper,":[109],"a":[110],"named":[113],"IHS-GTF":[114],"proposed,":[121],"combines":[123],"advantages":[125],"IHS":[127],"GTF":[129],"considers":[131],"both":[137],"based":[139],"on":[140],"pixel":[141],"saliency.":[142],"was":[146,155],"assessed":[147],"by":[148,158,183],"visual":[149],"analysis":[150],"ten":[152],"indices":[153],"further":[156],"tested":[157],"extracting":[159],"impervious":[160],"surface":[161],"(IS)":[162],"fused":[165],"random":[168],"forest":[169],"classifier.":[170],"results":[172,205],"show":[173],"good":[175],"preservation":[176],"our":[184],"method,":[186],"overall":[189],"accuracy":[190],"IS":[192],"extraction":[193],"2%":[195],"higher":[196],"than":[197],"alone.":[203],"demonstrate":[206],"ability":[208],"fusing":[214],"data":[218],"effectively":[219],"to":[220],"generate":[221],"useful":[222],"data.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
