{"id":"https://openalex.org/W4313203643","doi":"https://doi.org/10.1109/lgrs.2022.3232763","title":"Change Detection of Open-Pit Mine Based on Siamese Multiscale Network","display_name":"Change Detection of Open-Pit Mine Based on Siamese Multiscale Network","publication_year":2022,"publication_date":"2022-12-28","ids":{"openalex":"https://openalex.org/W4313203643","doi":"https://doi.org/10.1109/lgrs.2022.3232763"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3232763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3232763","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"],"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/A5100362080","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-3135-092X"},"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":"Jun Li","raw_affiliation_strings":["College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3135-092X","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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007463909","display_name":"Jianghe Xing","orcid":"https://orcid.org/0000-0001-6012-7175"},"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":"Jianghe Xing","raw_affiliation_strings":["College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China"],"raw_orcid":null,"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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019554986","display_name":"Shouhang Du","orcid":"https://orcid.org/0000-0002-0832-0864"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"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":"Shouhang Du","raw_affiliation_strings":["College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China","Institute of Remote Sensing and GIS, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0832-0864","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":"Institute of Remote Sensing and GIS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000376902","display_name":"Shihong Du","orcid":"https://orcid.org/0000-0003-0321-8972"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"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":"Shihong Du","raw_affiliation_strings":["College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China","Institute of Remote Sensing and GIS, Peking University, Beijing, China"],"raw_orcid":null,"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":"Institute of Remote Sensing and GIS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042653866","display_name":"Chengye Zhang","orcid":"https://orcid.org/0000-0002-4902-8704"},"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":"Chengye Zhang","raw_affiliation_strings":["College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4902-8704","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"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100317994","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-7015-7335"},"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":"Wei Li","raw_affiliation_strings":["College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China"],"raw_orcid":null,"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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9777,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.76778414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9786999821662903,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5682087540626526},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5178223252296448},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.42646294832229614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4223064184188843},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40310901403427124},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38568350672721863},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21357429027557373},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14625194668769836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5682087540626526},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5178223252296448},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.42646294832229614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4223064184188843},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40310901403427124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38568350672721863},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21357429027557373},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14625194668769836},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3232763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3232763","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1686051056","display_name":null,"funder_award_id":"42271480","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3471016572","display_name":null,"funder_award_id":"2021M703511","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6483541355","display_name":null,"funder_award_id":"2022JCCXDC04","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G856010645","display_name":null,"funder_award_id":"2022XJDC02","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2077560601","https://openalex.org/W2133227003","https://openalex.org/W2152612929","https://openalex.org/W2565639579","https://openalex.org/W2752782242","https://openalex.org/W2757966979","https://openalex.org/W2782970864","https://openalex.org/W2787091153","https://openalex.org/W2910587630","https://openalex.org/W2964984782","https://openalex.org/W2966542792","https://openalex.org/W3003877886","https://openalex.org/W3040813059","https://openalex.org/W3081744000","https://openalex.org/W3091811842","https://openalex.org/W3108069836","https://openalex.org/W3128068235","https://openalex.org/W3130754787","https://openalex.org/W3131652207","https://openalex.org/W3139912591","https://openalex.org/W3164715703","https://openalex.org/W3189451737","https://openalex.org/W3197803564","https://openalex.org/W3216264192","https://openalex.org/W4226066651","https://openalex.org/W4291001958"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W1537496349","https://openalex.org/W4243305035","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Automatic":[0],"change":[1,31,72,93],"detection":[2,32,94],"of":[3,12,20,46,85,117],"open-pit":[4,91],"mines":[5],"from":[6],"high-resolution":[7],"remote":[8],"sensing":[9],"images":[10],"is":[11,64,97,110,119],"great":[13],"significance":[14],"for":[15],"the":[16,40,47,68,83,86,107,113,122,137],"mining":[17],"and":[18,43,70,76],"management":[19],"mineral":[21],"resources.":[22],"For":[23],"this":[24,130],"purpose,":[25],"we":[26],"propose":[27],"a":[28,53,57],"siamese":[29,54],"multiscale":[30,41],"network":[33],"(SMCDNet)":[34],"with":[35],"an":[36],"encoder-decoder":[37],"structure.":[38],"First,":[39],"low-level":[42,69],"high-level":[44,71],"features":[45],"bi-temporal":[48],"image":[49],"are":[50,79],"extracted":[51],"by":[52,121],"network.":[55],"Second,":[56],"multilevel":[58],"feature":[59],"absolute":[60],"difference":[61],"(MFAD)":[62],"module":[63],"proposed":[65,108,123],"to":[66,81,99,112],"fuse":[67],"features.":[73],"Finally,":[74],"convolution":[75],"up-sampling":[77],"operations":[78],"used":[80],"recover":[82],"details":[84],"changed":[87],"areas.":[88],"A":[89],"self-made":[90],"mine":[92],"(OMCD)":[95],"dataset":[96,127],"employed":[98],"conduct":[100],"experiments.":[101],"Experimental":[102],"results":[103],"have":[104],"demonstrated":[105],"that":[106],"method":[109],"superior":[111],"comparison":[114],"networks.$F1$-":[115],"score":[116],"88.13%":[118],"achieved":[120],"SMCDNet.":[124],"The":[125],"OMCD":[126],"produced":[128],"in":[129],"study":[131],"has":[132],"been":[133],"made":[134],"public":[135],"at":[136],"following":[138],"link:https://figshare.com/s/ae4e8c808b67543d41e9.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}