{"id":"https://openalex.org/W2983594732","doi":"https://doi.org/10.1109/igarss.2019.8898095","title":"A Multi-Scale Densely Deep Learning Method for Pansharpening","display_name":"A Multi-Scale Densely Deep Learning Method for Pansharpening","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2983594732","doi":"https://doi.org/10.1109/igarss.2019.8898095","mag":"2983594732"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8898095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 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/A5039694118","display_name":"Zhikang Xiang","orcid":"https://orcid.org/0000-0001-9922-8280"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhikang Xiang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020302879","display_name":"Liang Xiao","orcid":"https://orcid.org/0000-0003-0178-9384"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Xiao","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354999","display_name":"Pengfei Liu","orcid":"https://orcid.org/0000-0002-1603-3670"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Liu","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100324330","display_name":"Yufei Zhang","orcid":"https://orcid.org/0000-0001-8786-4845"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039694118"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.8927,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78969239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2786","last_page":"2789"},"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":0.9934999942779541,"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":0.9887999892234802,"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/panchromatic-film","display_name":"Panchromatic film","score":0.9725571870803833},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7995956540107727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7499297857284546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7344719171524048},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6628550291061401},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6415715217590332},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6021997928619385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5891555547714233},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5350633263587952},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5154095888137817},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5081396102905273},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4220660924911499},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4212713837623596},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4131300449371338},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11164772510528564},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07409438490867615},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07065877318382263}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9725571870803833},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7995956540107727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7499297857284546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7344719171524048},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6628550291061401},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6415715217590332},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6021997928619385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5891555547714233},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5350633263587952},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5154095888137817},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5081396102905273},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4220660924911499},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4212713837623596},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4131300449371338},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11164772510528564},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07409438490867615},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07065877318382263},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8898095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2064366277","https://openalex.org/W2100329651","https://openalex.org/W2154789478","https://openalex.org/W2158027388","https://openalex.org/W2165651437","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2172185514","https://openalex.org/W2462592242","https://openalex.org/W2777033955","https://openalex.org/W2963446712"],"related_works":["https://openalex.org/W1930929277","https://openalex.org/W2158394102","https://openalex.org/W2361746014","https://openalex.org/W1502637513","https://openalex.org/W2124952510","https://openalex.org/W2375311607","https://openalex.org/W2022261651","https://openalex.org/W2011962637","https://openalex.org/W2163677711","https://openalex.org/W2036727360"],"abstract_inverted_index":{"Pansharpening":[0],"aims":[1],"to":[2,66,81,93],"produce":[3],"a":[4,37,59,74,87],"higher":[5],"resolution":[6,17,28],"multi-spectral":[7],"(HRMS)":[8],"image":[9,20],"by":[10],"fusing":[11],"the":[12,22,50,95],"spectral":[13,83],"information":[14,24],"in":[15,25,115],"lower":[16],"multispectral":[18],"(LRMS)":[19],"and":[21,85,117],"spatial":[23],"corresponding":[26],"high":[27,112],"panchromatic":[29],"(PAN)":[30],"image.":[31],"In":[32],"this":[33],"work,":[34],"we":[35],"propose":[36],"multi-scale":[38,61],"densely":[39],"deep":[40,52],"learning":[41,48,89],"based":[42],"pansharpening":[43,113],"method.":[44],"Following":[45],"an":[46],"end-to-end":[47],"architecture,":[49],"proposed":[51,109],"neural":[53],"network":[54],"contains":[55],"three":[56],"modules:":[57],"1)":[58],"parallel":[60],"convolutional":[62],"layer":[63],"is":[64,79,91],"used":[65],"extract":[67],"multiscale":[68],"features":[69],"of":[70],"PAN":[71],"image;":[72],"2)":[73],"global":[75],"identity":[76],"branch":[77],"structure":[78],"adopted":[80],"preserve":[82],"structures;":[84],"3)":[86],"dense":[88],"block":[90],"integrated":[92],"improve":[94],"spectral-spatial":[96],"expressive":[97],"power.":[98],"Compared":[99],"with":[100,107],"other":[101],"state-of-the-art":[102],"methods,":[103],"experimental":[104],"results":[105],"obtained":[106],"our":[108],"method":[110],"achieve":[111],"quality":[114],"visualization":[116],"quantification.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}