{"id":"https://openalex.org/W4413469159","doi":"https://doi.org/10.1109/tce.2025.3598821","title":"RSIRW-DCF: Dual-Channel Feature-Guided Robust Watermarking Against Dual Attacks for Remote Sensing Image","display_name":"RSIRW-DCF: Dual-Channel Feature-Guided Robust Watermarking Against Dual Attacks for Remote Sensing Image","publication_year":2025,"publication_date":"2025-08-14","ids":{"openalex":"https://openalex.org/W4413469159","doi":"https://doi.org/10.1109/tce.2025.3598821"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2025.3598821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3598821","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-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/A5037182288","display_name":"Wenying Wen","orcid":"https://orcid.org/0000-0002-3098-4640"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenying Wen","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-3098-4640","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034510113","display_name":"Jiameng Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiameng Hu","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057787077","display_name":"Xiangli Xiao","orcid":"https://orcid.org/0000-0002-3250-0603"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangli Xiao","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-3250-0603","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060041419","display_name":"Baolin Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baolin Qiu","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085698418","display_name":"Yushu Zhang","orcid":"https://orcid.org/0000-0001-8183-8435"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushu Zhang","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0001-8183-8435","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037182288"],"corresponding_institution_ids":["https://openalex.org/I59649739"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19747155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"71","issue":"4","first_page":"10542","last_page":"10550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9998999834060669,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9998999834060669,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9966999888420105,"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/T10828","display_name":"Biometric Identification and Security","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/digital-watermarking","display_name":"Digital watermarking","score":0.8657777309417725},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6687780022621155},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6317881941795349},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6197421550750732},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5552859306335449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48023825883865356},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43696480989456177},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43640318512916565},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4144303500652313},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16795077919960022}],"concepts":[{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.8657777309417725},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6687780022621155},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6317881941795349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6197421550750732},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5552859306335449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48023825883865356},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43696480989456177},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43640318512916565},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4144303500652313},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16795077919960022},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"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":1,"locations":[{"id":"doi:10.1109/tce.2025.3598821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3598821","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5547888696","display_name":null,"funder_award_id":"62201233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5707108624","display_name":null,"funder_award_id":"jxsq2023201118","funder_id":"https://openalex.org/F3692415409","funder_display_name":"Double Thousand Plan of Jiangxi Province"},{"id":"https://openalex.org/G7743932910","display_name":null,"funder_award_id":"jxsq2023201118","funder_id":"https://openalex.org/F4320335477","funder_display_name":"Youth Science Foundation of Jiangxi Province"}],"funders":[{"id":"https://openalex.org/F3692415409","display_name":"Double Thousand Plan of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335477","display_name":"Youth Science Foundation of Jiangxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1968818978","https://openalex.org/W1977019329","https://openalex.org/W2157739098","https://openalex.org/W2166212353","https://openalex.org/W2166331510","https://openalex.org/W2293567455","https://openalex.org/W2403561033","https://openalex.org/W2564276065","https://openalex.org/W2573437058","https://openalex.org/W2579957766","https://openalex.org/W2745983359","https://openalex.org/W2889803700","https://openalex.org/W2899413106","https://openalex.org/W2976238091","https://openalex.org/W3129082635","https://openalex.org/W4210333779","https://openalex.org/W4210825863","https://openalex.org/W4293519121","https://openalex.org/W4312357569","https://openalex.org/W4313147134","https://openalex.org/W4315778579","https://openalex.org/W4317536085","https://openalex.org/W4321022044","https://openalex.org/W4321483963","https://openalex.org/W4377715515","https://openalex.org/W4383503849","https://openalex.org/W4386431989","https://openalex.org/W4387623702","https://openalex.org/W4389352601","https://openalex.org/W4390906161","https://openalex.org/W4392309155","https://openalex.org/W4392825591","https://openalex.org/W4399146433","https://openalex.org/W4401208123"],"related_works":["https://openalex.org/W2361629745","https://openalex.org/W2107922825","https://openalex.org/W3094285444","https://openalex.org/W1568204688","https://openalex.org/W2381262728","https://openalex.org/W2111592878","https://openalex.org/W1846726187","https://openalex.org/W1593964766","https://openalex.org/W2387614453","https://openalex.org/W2365808414"],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"image":[2],"(RSI)":[3],"involves":[4],"sensitive":[5],"information":[6],"such":[7],"as":[8,120],"military":[9],"and":[10,65,114,140],"national.":[11],"If":[12],"these":[13,147],"data":[14,42],"are":[15],"attacked":[16],"or":[17],"stolen":[18],"during":[19,108,167],"transmission,":[20,168],"intellectual":[21],"property":[22],"rights":[23],"could":[24],"be":[25,34,154],"violated.":[26],"In":[27],"some":[28],"cases,":[29],"national":[30],"security":[31],"might":[32],"also":[33],"jeopardized.":[35],"Therefore,":[36],"protecting":[37,169],"the":[38,46,57,74,136,151,170,181,195,207,210],"copyright":[39,171],"of":[40,62,146,172,186,194,209],"RSI":[41,55,96,158,173],"is":[43,103,189,200],"essential.":[44],"However,":[45,101],"existing":[47],"digital":[48],"watermarking":[49,87],"schemes":[50],"do":[51],"not":[52],"effectively":[53],"defend":[54,72],"against":[56,73,89],"screen-shooting":[58,106,211],"attack":[59,107],"on":[60,202],"top":[61],"other":[63],"geometric":[64],"non-geometric":[66],"attacks,":[67,79,180],"i.e.,":[68],"dual":[69,78,90,165,179],"attacks.":[70],"To":[71],"threats":[75],"posed":[76],"by":[77,160],"this":[80,161],"paper":[81],"proposes":[82],"a":[83],"dual-channel":[84,121],"feature-guided":[85],"robust":[86,197],"scheme":[88,162],"attacks":[91,166],"for":[92],"RSI,":[93],"called":[94],"RSIRW-DCF.":[95],"contains":[97],"rich":[98],"texture":[99,113,132],"information.":[100],"it":[102],"vulnerable":[104],"to":[105,123],"transmission.":[109],"So,":[110],"we":[111,130],"employ":[112],"scale-invariant":[115],"feature":[116,122],"transform":[117],"(SIFT)":[118],"features":[119],"guide":[124],"watermark":[125,152],"embedding":[126],"in":[127],"RSI.":[128],"Specifically,":[129],"extract":[131],"complex":[133],"points":[134,148],"from":[135,142],"grayscale":[137],"covariance":[138],"matrix":[139],"keypoints":[141],"SIFT.":[143],"The":[144,156],"intersection":[145],"determines":[149],"where":[150],"will":[153],"embedded.":[155],"watermarked":[157],"generated":[159],"can":[163],"withstand":[164],"data.":[174],"Experiments":[175],"exhibit":[176],"that":[177,193],"after":[178],"bit":[182],"error":[183],"rate":[184],"(BER)":[185],"our":[187],"method":[188],"significantly":[190],"lower":[191,205],"than":[192,206],"traditional":[196],"watermarking.":[198,213],"It":[199],"also,":[201],"average,":[203],"1.67%":[204],"BER":[208],"resilient":[212]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
