{"id":"https://openalex.org/W3090056094","doi":"https://doi.org/10.1109/icip40778.2020.9190853","title":"Maskpan: Mask Prior Guided Network For Pansharpening","display_name":"Maskpan: Mask Prior Guided Network For Pansharpening","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3090056094","doi":"https://doi.org/10.1109/icip40778.2020.9190853","mag":"3090056094"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9190853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","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/A5101982284","display_name":"Rui Xue","orcid":"https://orcid.org/0000-0002-8116-0334"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xue Rui","raw_affiliation_strings":["State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004299336","display_name":"Yang Cao","orcid":"https://orcid.org/0000-0002-2891-4379"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Cao","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025987638","display_name":"Yu Kang","orcid":"https://orcid.org/0000-0002-8706-3252"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Kang","raw_affiliation_strings":["Institute of Advanced Technology, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Institute of Advanced Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069714161","display_name":"Weiguo Song","orcid":"https://orcid.org/0000-0001-5390-6787"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiguo Song","raw_affiliation_strings":["State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022417308","display_name":"Rui Ba","orcid":"https://orcid.org/0000-0001-8889-3111"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Ba","raw_affiliation_strings":["State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101982284"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.1954,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50087383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"853","last_page":"857"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9991000294685364,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9991000294685364,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9991000294685364,"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/T10688","display_name":"Image and Signal Denoising Methods","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/computer-science","display_name":"Computer science","score":0.6979116201400757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3646067678928375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6979116201400757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3646067678928375}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip40778.2020.9190853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.699999988079071,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W1991460509","https://openalex.org/W2010319424","https://openalex.org/W2082232962","https://openalex.org/W2106891293","https://openalex.org/W2133665775","https://openalex.org/W2182807969","https://openalex.org/W2194775991","https://openalex.org/W2462592242","https://openalex.org/W2754256031","https://openalex.org/W2777033955","https://openalex.org/W2806865914","https://openalex.org/W2807567802","https://openalex.org/W2884585870","https://openalex.org/W2899771611","https://openalex.org/W2963676087","https://openalex.org/W2963695810","https://openalex.org/W2964275574","https://openalex.org/W3009587015","https://openalex.org/W3098542449","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6685949391","https://openalex.org/W6751746117","https://openalex.org/W6753412334","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Pansharpening":[0],"aims":[1],"to":[2,74,129],"generate":[3],"the":[4,13,19,76,90,93,101,119,131,141,154],"high":[5,26],"spatial":[6,14,94],"resolution":[7,21,27],"multispectral":[8,22],"(HRMS)":[9],"images":[10,24,83],"by":[11,113],"fusing":[12],"and":[15,25,79,95,110,149],"spectral":[16,96],"information":[17,73],"from":[18],"low":[20],"(LRMS)":[23],"panchromatic":[28],"(PAN)":[29],"images.":[30,136],"Although":[31],"existing":[32],"pansharpening":[33,155],"methods":[34],"excel":[35],"at":[36],"achieving":[37],"visual":[38,48,77,132,150],"pleasing":[39],"HRMS,":[40],"they":[41],"are":[42,104],"limited":[43],"in":[44,98,107],"providing":[45],"discriminability":[46],"for":[47,63],"tasks.":[49],"To":[50,85],"address":[51],"this":[52,54],"problem,":[53],"paper":[55],"proposes":[56],"a":[57,126],"mask":[58,91],"prior":[59],"guided":[60],"network":[61],"(MaskPan)":[62],"pansharpening,":[64],"which":[65],"incorporates":[66],"high-level":[67],"semantic":[68,102,120],"features":[69,97,103],"with":[70,100],"low-level":[71],"detail":[72],"improve":[75],"discrimination":[78,133],"quality":[80,148],"of":[81,89,134],"pansharpened":[82,135],"simultaneously.":[84],"make":[86],"full":[87],"use":[88],"prior,":[92],"conjunction":[99],"firstly":[105],"fused":[106],"feature":[108],"domain,":[109],"then":[111],"promoted":[112],"an":[114],"attention":[115],"mechanism.":[116],"In":[117],"addition,":[118],"segmentation":[121],"task":[122],"is":[123],"introduced":[124],"as":[125],"new":[127],"metric":[128],"evaluate":[130],"Experimental":[137],"results":[138],"show":[139],"that":[140],"proposed":[142],"MaskPan":[143],"can":[144],"effectively":[145],"enhance":[146],"image":[147],"discrimination,":[151],"thereby":[152],"improving":[153],"performance.":[156]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}