{"id":"https://openalex.org/W2547284859","doi":"https://doi.org/10.1109/igarss.2016.7729794","title":"Two-level active learning method for debris detection using VHR satellite imagery and local aerial surveys","display_name":"Two-level active learning method for debris detection using VHR satellite imagery and local aerial surveys","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2547284859","doi":"https://doi.org/10.1109/igarss.2016.7729794","mag":"2547284859"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.utwente.nl/en/publications/115a7b21-c06d-47fe-8b68-69c00c34f832","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048512059","display_name":"Zhihua Xu","orcid":"https://orcid.org/0000-0003-3482-2072"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN","NL"],"is_corresponding":true,"raw_author_name":"Zhihua Xu","raw_affiliation_strings":["College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China","Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands","Key Laboratory of Environment Change & Natural Disaster of MOE, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands","institution_ids":["https://openalex.org/I94624287"]},{"raw_affiliation_string":"Key Laboratory of Environment Change & Natural Disaster of MOE, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029035818","display_name":"Claudio Persello","orcid":"https://orcid.org/0000-0003-3742-5398"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Claudio Persello","raw_affiliation_strings":["Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands"],"affiliations":[{"raw_affiliation_string":"Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348210","display_name":"Mengmeng Li","orcid":"https://orcid.org/0000-0002-9083-0475"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mengmeng Li","raw_affiliation_strings":["Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands"],"affiliations":[{"raw_affiliation_string":"Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394375","display_name":"Lixin Wu","orcid":"https://orcid.org/0000-0002-6052-7416"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixin Wu","raw_affiliation_strings":["School of Environment Science & Spatial Informatics, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Environment Science & Spatial Informatics, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072854074","display_name":"Pengtianhao Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141849","display_name":"National Administration of Surveying, Mapping and Geoinformation of China","ror":"https://ror.org/04z3map19","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210141849"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengtianhao Wu","raw_affiliation_strings":["NASG, Satellite Surveying and Mapping Application Center, Beijing, China"],"affiliations":[{"raw_affiliation_string":"NASG, Satellite Surveying and Mapping Application Center, Beijing, China","institution_ids":["https://openalex.org/I4210141849"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048512059"],"corresponding_institution_ids":["https://openalex.org/I25254941","https://openalex.org/I25757504","https://openalex.org/I94624287"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07538176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"3070","last_page":"3073"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9961000084877014,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9961000084877014,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9740999937057495,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7109678387641907},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6113991737365723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.591007649898529},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5566866993904114},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5535606741905212},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.5424405336380005},{"id":"https://openalex.org/keywords/aerial-survey","display_name":"Aerial survey","score":0.5021181106567383},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5002882480621338},{"id":"https://openalex.org/keywords/disaster-response","display_name":"Disaster response","score":0.4958830773830414},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"Aerial imagery","score":0.48145192861557007},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.47180119156837463},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.42529961466789246},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31202763319015503},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2322717010974884},{"id":"https://openalex.org/keywords/emergency-management","display_name":"Emergency management","score":0.20999035239219666},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09552666544914246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7109678387641907},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6113991737365723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.591007649898529},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5566866993904114},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5535606741905212},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.5424405336380005},{"id":"https://openalex.org/C176262533","wikidata":"https://www.wikidata.org/wiki/Q4688034","display_name":"Aerial survey","level":2,"score":0.5021181106567383},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5002882480621338},{"id":"https://openalex.org/C3018653863","wikidata":"https://www.wikidata.org/wiki/Q5281355","display_name":"Disaster response","level":3,"score":0.4958830773830414},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.48145192861557007},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.47180119156837463},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.42529961466789246},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31202763319015503},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2322717010974884},{"id":"https://openalex.org/C62555980","wikidata":"https://www.wikidata.org/wiki/Q1460420","display_name":"Emergency management","level":2,"score":0.20999035239219666},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09552666544914246},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/igarss.2016.7729794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:ris.utwente.nl:openaire_cris_publications/115a7b21-c06d-47fe-8b68-69c00c34f832","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/115a7b21-c06d-47fe-8b68-69c00c34f832","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Xu, Z, Persello, C, Li, M, Wu, L & Wu, P 2016, Two-level active learning method for debris detection using VHR satellite imagery and local aerial surveys. in Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China. Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS)IEEE International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2016, IEEE, Piscataway, NJ, pp. 3070-3073, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, Beijing, China, 10/07/16. https://doi.org/10.1109/IGARSS.2016.7729794","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:ris.utwente.nl:publications/115a7b21-c06d-47fe-8b68-69c00c34f832","is_oa":true,"landing_page_url":"https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2016/chap/persello_two.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Xu, Z, Persello, C, Li, M, Wu, L & Wu, P 2016, Two-level active learning method for debris detection using VHR satellite imagery and local aerial surveys. in Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China. Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS)IEEE International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2016, IEEE, Piscataway, NJ, pp. 3070-3073, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, Beijing, China, 10/07/16. https://doi.org/10.1109/IGARSS.2016.7729794","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:ris.utwente.nl:openaire_cris_publications/115a7b21-c06d-47fe-8b68-69c00c34f832","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/115a7b21-c06d-47fe-8b68-69c00c34f832","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Xu, Z, Persello, C, Li, M, Wu, L & Wu, P 2016, Two-level active learning method for debris detection using VHR satellite imagery and local aerial surveys. in Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China. Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS)IEEE International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2016, IEEE, Piscataway, NJ, pp. 3070-3073, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, Beijing, China, 10/07/16. https://doi.org/10.1109/IGARSS.2016.7729794","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G1426318481","display_name":null,"funder_award_id":"grant","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G2300736770","display_name":null,"funder_award_id":"(CSC)","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G3588728307","display_name":null,"funder_award_id":"2011CB707102","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G386552779","display_name":null,"funder_award_id":"China Scholarship Council (CSC)","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8589651859","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1518672027","https://openalex.org/W1618905105","https://openalex.org/W2002880092","https://openalex.org/W2020355555","https://openalex.org/W2030823784","https://openalex.org/W2056720185","https://openalex.org/W2093596219","https://openalex.org/W2113770960","https://openalex.org/W2119821739","https://openalex.org/W2134357733","https://openalex.org/W2139573966","https://openalex.org/W2150045166","https://openalex.org/W2738150156","https://openalex.org/W4239510810","https://openalex.org/W6636501900","https://openalex.org/W6741230463"],"related_works":["https://openalex.org/W2386046054","https://openalex.org/W2372478594","https://openalex.org/W4283696875","https://openalex.org/W3110585990","https://openalex.org/W2382740786","https://openalex.org/W4385767632","https://openalex.org/W2597927996","https://openalex.org/W2898690910","https://openalex.org/W2487965249","https://openalex.org/W4403024694"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"two-level":[4],"Active":[5],"Learning":[6],"(AL)":[7],"classification":[8],"method":[9,35,112],"for":[10,123],"the":[11,18,41,45,69,74,77,84,99,110,116,121],"interactive":[12],"detection":[13,135],"of":[14,21,47,98],"earthquake-induced":[15],"debris":[16,134],"via":[17],"synergetic":[19],"use":[20],"post-disaster":[22,96],"Very":[23],"High":[24],"Resolution":[25],"(VHR)":[26],"satellite":[27,87],"and":[28,54,120,132],"local":[29],"decimeter-resolution":[30],"aerial":[31,52,58,78,126],"images.":[32],"The":[33,89,105],"proposed":[34,111],"is":[36,64,92],"performed":[37],"by":[38,73,80],"interactively":[39],"guiding":[40],"human":[42],"expert":[43],"in":[44,103],"collection":[46],"labeled":[48,70],"training":[49],"samples":[50],"from":[51],"images":[53,97,127],"optimally":[55],"planning":[56],"further":[57],"surveys.":[59],"A":[60],"label":[61],"propagation":[62],"mechanism":[63],"adopted":[65],"to":[66,83,129],"reliably":[67],"propagate":[68],"pixels":[71],"annotated":[72],"user":[75,117],"on":[76],"image":[79],"visual":[81],"photointerpretation":[82],"(lower":[85],"resolution)":[86],"image.":[88],"experimental":[90],"analysis":[91],"carried":[93],"out":[94],"using":[95],"2010":[100],"Yushu":[101],"earthquake":[102],"China.":[104],"obtained":[106],"results":[107],"confirm":[108],"that":[109],"can":[113],"significantly":[114],"reduce":[115],"annotation":[118],"effort":[119],"cost":[122],"acquiring":[124],"additional":[125],"leading":[128],"more":[130],"accurate":[131],"timely":[133],"maps.":[136]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
