{"id":"https://openalex.org/W4205912979","doi":"https://doi.org/10.1109/lgrs.2021.3132935","title":"Uncertainty-Aware Forward Correction for Weakly Supervised Solar Panel Mapping From High-Resolution Aerial Images","display_name":"Uncertainty-Aware Forward Correction for Weakly Supervised Solar Panel Mapping From High-Resolution Aerial Images","publication_year":2021,"publication_date":"2021-12-06","ids":{"openalex":"https://openalex.org/W4205912979","doi":"https://doi.org/10.1109/lgrs.2021.3132935"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3132935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3132935","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.10963480","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047572962","display_name":"Jue Zhang","orcid":"https://orcid.org/0000-0003-3427-3456"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Jue Zhang","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024631382","display_name":"Xiuping Jia","orcid":"https://orcid.org/0000-0001-9916-6382"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuping Jia","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075234257","display_name":"Jiankun Hu","orcid":"https://orcid.org/0000-0003-0230-1432"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jiankun Hu","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047572962"],"corresponding_institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.4079,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70199256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6126546263694763},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6024038195610046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5090901255607605},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4950932562351227},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4928872585296631},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.4574022889137268},{"id":"https://openalex.org/keywords/aerial-photos","display_name":"Aerial photos","score":0.4181404113769531},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.41681960225105286},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4150310754776001},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18216809630393982},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15823477506637573}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6126546263694763},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6024038195610046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5090901255607605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4950932562351227},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4928872585296631},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.4574022889137268},{"id":"https://openalex.org/C3018193623","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial photos","level":2,"score":0.4181404113769531},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.41681960225105286},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4150310754776001},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18216809630393982},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15823477506637573}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/lgrs.2021.3132935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3132935","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:10963481","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10963480","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"IEEE Geoscience and Remote Sensing Letters, 19, 1-5, 2022, (2024-04-12)","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.5281/zenodo.10963481","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10963481","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:10963481","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10963480","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"IEEE Geoscience and Remote Sensing Letters, 19, 1-5, 2022, (2024-04-12)","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G2132658286","display_name":null,"funder_award_id":"DP190103660","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G3229617049","display_name":null,"funder_award_id":"DP200103207","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2295107390","https://openalex.org/W2494424066","https://openalex.org/W2606792998","https://openalex.org/W2746791238","https://openalex.org/W2775111920","https://openalex.org/W2792542990","https://openalex.org/W2904145953","https://openalex.org/W2945231726","https://openalex.org/W2962858109","https://openalex.org/W2964292098","https://openalex.org/W3016451125","https://openalex.org/W3025926153","https://openalex.org/W3034453930","https://openalex.org/W3080368312","https://openalex.org/W3118335270","https://openalex.org/W3135738366","https://openalex.org/W3205631735"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2765548132","https://openalex.org/W2025681766","https://openalex.org/W2807234726","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2294441925","https://openalex.org/W4212954839","https://openalex.org/W2142226356"],"abstract_inverted_index":{"Solar":[0],"panel":[1],"mapping":[2,92,159],"from":[3,51],"high-resolution":[4],"aerial":[5,176],"images":[6],"is":[7,75,122,161],"becoming":[8],"increasingly":[9],"crucial":[10],"to":[11,47,76,94,102,139,163,168],"grid":[12],"planning":[13],"and":[14,65,98,109,124,133,154],"operation,":[15],"where":[16],"weakly":[17,34],"supervised":[18,35],"approach":[19],"has":[20],"been":[21],"explored.":[22],"To":[23],"cope":[24],"with":[25],"the":[26,52,72,83,104,148,151,157,169,180,194,197],"noisy":[27,53,110,144,152,155],"nature":[28],"of":[29,59,71,116,196],"pseudo-labels":[30],"(PLs)":[31],"generated":[32],"by":[33,187],"object":[36],"localization,":[37],"we":[38,126],"propose":[39,134],"an":[40,80,135,175],"effective":[41],"uncertainty-aware":[42],"forward":[43,66],"correction":[44,67],"(UA-FC)":[45],"method":[46,57,182],"learn":[48],"clean":[49,96,107,141,165],"predictions":[50,97,108,142,153,166],"PLs.":[54,111],"The":[55,69,86],"proposed":[56,181],"consists":[58],"two":[60],"steps:":[61],"heteroscedastic":[62,128],"uncertainty":[63,78,129],"estimation":[64],"procedure.":[68],"purpose":[70],"first":[73],"step":[74,88],"produce":[77,95],"as":[79,130],"indicator":[81],"for":[82],"instance-dependent":[84],"noise.":[85],"second":[87],"includes":[89],"a":[90,99,131,188],"target":[91,158],"network":[93,160],"transition":[100],"function":[101,138],"model":[103],"relationship":[105],"between":[106,150],"As":[112],"estimating":[113],"every":[114],"probability":[115],"one":[117],"class":[118],"flipped":[119],"into":[120,143],"another":[121],"difficult":[123],"time-consuming,":[125],"introduce":[127],"measurement":[132],"uncertainty-based":[136],"transformation":[137],"map":[140],"ones.":[145],"By":[146],"minimizing":[147],"errors":[149],"labels,":[156],"able":[162],"offer":[164],"close":[167],"actual":[170],"objects.":[171,198],"Extensive":[172],"experiments":[173],"on":[174],"dataset":[177],"reveal":[178],"that":[179],"outperforms":[183],"other":[184],"state-of-the-art":[185],"methods":[186],"large":[189],"margin,":[190],"especially":[191],"in":[192],"recovering":[193],"boundary":[195]},"counts_by_year":[{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
