{"id":"https://openalex.org/W4416714712","doi":"https://doi.org/10.1109/igarss55030.2025.11244005","title":"Multi-Label Scene Classification in Remote Sensing Benefits from Image Super-Resolution","display_name":"Multi-Label Scene Classification in Remote Sensing Benefits from Image Super-Resolution","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4416714712","doi":"https://doi.org/10.1109/igarss55030.2025.11244005"},"language":"en","primary_location":{"id":"doi:10.1109/igarss55030.2025.11244005","doi":"https://doi.org/10.1109/igarss55030.2025.11244005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss55030.2025.11244005","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2501.06720","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120521424","display_name":"Ashitha Mudraje","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ashitha Mudraje","raw_affiliation_strings":["German Research Center for Artificial Intelligence,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence,Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069729032","display_name":"Brian B. Moser","orcid":"https://orcid.org/0000-0002-0290-7904","observed_orcids":["https://orcid.org/0000-0002-0290-7904"]},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Brian B. Moser","raw_affiliation_strings":["German Research Center for Artificial Intelligence,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence,Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053202923","display_name":"Stanislav Frolov","orcid":"https://orcid.org/0000-0003-2700-5031","observed_orcids":["https://orcid.org/0000-0003-2700-5031"]},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stanislav Frolov","raw_affiliation_strings":["German Research Center for Artificial Intelligence,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence,Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073903451","display_name":"Andreas Dengel","orcid":"https://orcid.org/0000-0001-9532-286X","observed_orcids":["https://orcid.org/0000-0001-9532-286X"]},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Dengel","raw_affiliation_strings":["German Research Center for Artificial Intelligence,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence,Germany","institution_ids":["https://openalex.org/I33256026"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I33256026"],"apc_list":null,"apc_paid":null,"fwci":1.7898,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.89981983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"8435","last_page":"8440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9916999936103821,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9916999936103821,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.002099999925121665,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.0015999999595806003,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-super-resolution","display_name":"image super-resolution","score":0.8769999742507935},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"satellite imagery","score":0.9729999899864197},{"id":"https://openalex.org/keywords/low-spatial-resolution","display_name":"low spatial resolution","score":0.6759999990463257},{"id":"https://openalex.org/keywords/hats","display_name":"hats","score":0.847000002861023},{"id":"https://openalex.org/keywords/convolutional-neural-network-architecture","display_name":"convolutional neural network architecture","score":0.5450000166893005},{"id":"https://openalex.org/keywords/image-preprocessing","display_name":"image preprocessing","score":0.4350000023841858}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7631999850273132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6787999868392944},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.5095000267028809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49959999322891235},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.46059998869895935},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4578000009059906},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.45179998874664307},{"id":"https://openalex.org/C2985301230","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite image","level":3,"score":0.4397999942302704},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42570000886917114},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4239000082015991},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40149998664855957},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39070001244544983},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.36570000648498535},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.3124000132083893},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.2863999903202057},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28380000591278076},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26989999413490295},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.26010000705718994}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/igarss55030.2025.11244005","doi":"https://doi.org/10.1109/igarss55030.2025.11244005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss55030.2025.11244005","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2501.06720","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.06720","pdf_url":"https://arxiv.org/pdf/2501.06720","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2501.06720","doi":"https://doi.org/10.48550/arxiv.2501.06720","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2501.06720","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2501.06720","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.06720","pdf_url":"https://arxiv.org/pdf/2501.06720","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416714712.pdf","grobid_xml":"https://content.openalex.org/works/W4416714712.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2962858109","https://openalex.org/W2963470893","https://openalex.org/W2986943971","https://openalex.org/W3027532550","https://openalex.org/W3039108209","https://openalex.org/W3164726289","https://openalex.org/W3165730205","https://openalex.org/W3204971388","https://openalex.org/W4205375186","https://openalex.org/W4246193833","https://openalex.org/W4285478019","https://openalex.org/W4286484337","https://openalex.org/W4319878693","https://openalex.org/W4321607998","https://openalex.org/W4386083034","https://openalex.org/W4390357172","https://openalex.org/W4392553290","https://openalex.org/W4394002435","https://openalex.org/W4394755170","https://openalex.org/W4402754171","https://openalex.org/W4403863649","https://openalex.org/W4408062775","https://openalex.org/W4415799065"],"related_works":["https://openalex.org/W4389010864","https://openalex.org/W3130881642","https://openalex.org/W4415195351","https://openalex.org/W2137702767","https://openalex.org/W4399159730","https://openalex.org/W3199858498","https://openalex.org/W4385842140","https://openalex.org/W4389960995","https://openalex.org/W4407866260","https://openalex.org/W4412171072"],"abstract_inverted_index":{"Satellite":[0],"imagery":[1],"is":[2],"a":[3,31,51],"cornerstone":[4],"for":[5,119,134],"numerous":[6],"Remote":[7],"Sensing":[8],"(RS)":[9],"applications;":[10],"however,":[11],"limited":[12],"spatial":[13,116],"resolution":[14],"frequently":[15],"hinders":[16],"the":[17,44,56,129],"precision":[18],"of":[19,34,46,58,131],"such":[20],"systems,":[21],"especially":[22],"in":[23,137],"multi-label":[24,84,120,135],"scene":[25,85],"classification":[26,65,86,106],"tasks":[27],"as":[28,50],"it":[29],"requires":[30],"higher":[32],"level":[33],"detail":[35],"and":[36,61,76,79,95,140],"feature":[37],"differentiation.":[38],"In":[39],"this":[40,123],"study,":[41],"we":[42],"explore":[43],"efficacy":[45],"image":[47],"Super-Resolution":[48],"(SR)":[49],"pre-processing":[52],"step":[53],"to":[54,114,145],"enhance":[55],"quality":[57],"satellite":[59],"images":[60],"thus":[62],"improve":[63,146],"downstream":[64,105],"performance.":[66],"We":[67],"investigate":[68],"four":[69],"SR":[70,102,132],"models":[71],"-":[72,78],"SRResNet,":[73],"HAT,":[74],"SeeSR,":[75],"RealESRGAN":[77],"evaluate":[80],"their":[81],"impact":[82],"on":[83],"across":[87,108],"various":[88,109],"CNN":[89],"architectures,":[90],"including":[91],"ResNet-50,":[92],"ResNet-101,":[93],"ResNet-152,":[94],"Inception-v4.":[96],"Our":[97],"results":[98],"show":[99],"that":[100],"applying":[101],"significantly":[103],"improves":[104],"performance":[107],"metrics,":[110],"demonstrating":[111],"its":[112],"ability":[113],"preserve":[115],"details":[117],"critical":[118],"tasks.":[121],"Overall,":[122],"work":[124],"offers":[125],"valuable":[126],"insights":[127],"into":[128],"selection":[130],"techniques":[133],"prediction":[136],"remote":[138],"sensing":[139],"presents":[141],"an":[142],"easy-to-integrate":[143],"framework":[144],"existing":[147],"RS":[148],"systems.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2025-11-25T00:00:00"}