{"id":"https://openalex.org/W4385546004","doi":"https://doi.org/10.3390/rs15153859","title":"Application of Deep Learning in Multitemporal Remote Sensing Image Classification","display_name":"Application of Deep Learning in Multitemporal Remote Sensing Image Classification","publication_year":2023,"publication_date":"2023-08-03","ids":{"openalex":"https://openalex.org/W4385546004","doi":"https://doi.org/10.3390/rs15153859"},"language":"en","primary_location":{"id":"doi:10.3390/rs15153859","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15153859","pdf_url":"https://www.mdpi.com/2072-4292/15/15/3859/pdf?version=1691055860","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/15/3859/pdf?version=1691055860","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079522459","display_name":"Xinglu Cheng","orcid":"https://orcid.org/0000-0002-6815-7149"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinglu Cheng","raw_affiliation_strings":["Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China","College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China","Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China","State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029717349","display_name":"Yonghua Sun","orcid":"https://orcid.org/0000-0001-8582-3062"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yonghua Sun","raw_affiliation_strings":["Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China","College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China","Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China","State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104151982","display_name":"Wangkuan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangkuan Zhang","raw_affiliation_strings":["Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China","College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China","Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China","State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428928","display_name":"Yihan Wang","orcid":"https://orcid.org/0000-0002-0407-1776"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihan Wang","raw_affiliation_strings":["Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China","College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China","Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China","State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100574347","display_name":"Xuyue Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuyue Cao","raw_affiliation_strings":["Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China","College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China","Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China","State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100782334","display_name":"Yanzhao Wang","orcid":"https://orcid.org/0000-0002-3975-5449"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanzhao Wang","raw_affiliation_strings":["Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China","College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China","Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China","State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5029717349"],"corresponding_institution_ids":["https://openalex.org/I96852419"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":8.4639,"has_fulltext":true,"cited_by_count":53,"citation_normalized_percentile":{"value":0.98064266,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"15","issue":"15","first_page":"3859","last_page":"3859"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987000226974487,"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":0.9987000226974487,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7511655688285828},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6264551877975464},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.575776219367981},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.562353253364563},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5238000154495239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4724072813987732},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.45063087344169617},{"id":"https://openalex.org/keywords/remote-sensing-application","display_name":"Remote sensing application","score":0.4375758767127991},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.433014452457428},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4227233827114105},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41615256667137146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35910314321517944},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.10484617948532104},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0846470296382904},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07692927122116089}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7511655688285828},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6264551877975464},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.575776219367981},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.562353253364563},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5238000154495239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4724072813987732},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.45063087344169617},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.4375758767127991},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.433014452457428},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4227233827114105},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41615256667137146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35910314321517944},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.10484617948532104},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0846470296382904},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07692927122116089},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15153859","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15153859","pdf_url":"https://www.mdpi.com/2072-4292/15/15/3859/pdf?version=1691055860","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e5bf7f4868b04ff790ddac5165b19cc9","is_oa":true,"landing_page_url":"https://doaj.org/article/e5bf7f4868b04ff790ddac5165b19cc9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 15, p 3859 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/15/3859/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15153859","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Remote Sensing; Volume 15; Issue 15; Pages: 3859","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15153859","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15153859","pdf_url":"https://www.mdpi.com/2072-4292/15/15/3859/pdf?version=1691055860","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385546004.pdf"},"referenced_works_count":205,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1927159739","https://openalex.org/W1967413121","https://openalex.org/W1972923945","https://openalex.org/W1998496066","https://openalex.org/W1998945640","https://openalex.org/W1999070250","https://openalex.org/W2044193427","https://openalex.org/W2062487775","https://openalex.org/W2064675550","https://openalex.org/W2089468765","https://openalex.org/W2098057602","https://openalex.org/W2108358988","https://openalex.org/W2110242546","https://openalex.org/W2146126838","https://openalex.org/W2146512640","https://openalex.org/W2194775991","https://openalex.org/W2307094448","https://openalex.org/W2413575105","https://openalex.org/W2551393996","https://openalex.org/W2560662519","https://openalex.org/W2565639579","https://openalex.org/W2578830027","https://openalex.org/W2618530766","https://openalex.org/W2737391801","https://openalex.org/W2742878349","https://openalex.org/W2742982421","https://openalex.org/W2747398809","https://openalex.org/W2754638828","https://openalex.org/W2783608381","https://openalex.org/W2786038065","https://openalex.org/W2788190553","https://openalex.org/W2789688775","https://openalex.org/W2791592925","https://openalex.org/W2794152190","https://openalex.org/W2794243943","https://openalex.org/W2807039230","https://openalex.org/W2807838091","https://openalex.org/W2807884127","https://openalex.org/W2886493749","https://openalex.org/W2888593184","https://openalex.org/W2890443177","https://openalex.org/W2892035503","https://openalex.org/W2896998982","https://openalex.org/W2897285410","https://openalex.org/W2899260303","https://openalex.org/W2899649860","https://openalex.org/W2900587135","https://openalex.org/W2900992517","https://openalex.org/W2902316880","https://openalex.org/W2903282641","https://openalex.org/W2920254659","https://openalex.org/W2940542567","https://openalex.org/W2945989246","https://openalex.org/W2954994501","https://openalex.org/W2954996726","https://openalex.org/W2955472583","https://openalex.org/W2959673144","https://openalex.org/W2961745803","https://openalex.org/W2963131120","https://openalex.org/W2963446712","https://openalex.org/W2963881378","https://openalex.org/W2966647365","https://openalex.org/W2970696595","https://openalex.org/W2973353633","https://openalex.org/W2976120863","https://openalex.org/W2981830988","https://openalex.org/W2986339177","https://openalex.org/W2997168047","https://openalex.org/W3000376294","https://openalex.org/W3000415744","https://openalex.org/W3002710521","https://openalex.org/W3003918477","https://openalex.org/W3006945815","https://openalex.org/W3007054076","https://openalex.org/W3009280154","https://openalex.org/W3009294055","https://openalex.org/W3009518842","https://openalex.org/W3010665853","https://openalex.org/W3011596392","https://openalex.org/W3015950295","https://openalex.org/W3016213868","https://openalex.org/W3028034508","https://openalex.org/W3028448552","https://openalex.org/W3032896144","https://openalex.org/W3034524308","https://openalex.org/W3035803064","https://openalex.org/W3037002701","https://openalex.org/W3038234978","https://openalex.org/W3040477528","https://openalex.org/W3041133507","https://openalex.org/W3044639176","https://openalex.org/W3046711384","https://openalex.org/W3047601730","https://openalex.org/W3073623721","https://openalex.org/W3083229321","https://openalex.org/W3087185927","https://openalex.org/W3088162569","https://openalex.org/W3095867871","https://openalex.org/W3100996084","https://openalex.org/W3104839310","https://openalex.org/W3105297345","https://openalex.org/W3109637960","https://openalex.org/W3110829070","https://openalex.org/W3111983028","https://openalex.org/W3114830334","https://openalex.org/W3121096173","https://openalex.org/W3123959295","https://openalex.org/W3124539583","https://openalex.org/W3128544109","https://openalex.org/W3135196696","https://openalex.org/W3138000966","https://openalex.org/W3159993994","https://openalex.org/W3160627966","https://openalex.org/W3160694286","https://openalex.org/W3160716376","https://openalex.org/W3173696444","https://openalex.org/W3183470088","https://openalex.org/W3184682299","https://openalex.org/W3185051919","https://openalex.org/W3185118158","https://openalex.org/W3186328757","https://openalex.org/W3190807025","https://openalex.org/W3190941789","https://openalex.org/W3192731655","https://openalex.org/W3196386002","https://openalex.org/W3196810513","https://openalex.org/W3197307708","https://openalex.org/W3197360656","https://openalex.org/W3198115293","https://openalex.org/W3198721099","https://openalex.org/W3200386921","https://openalex.org/W3203247629","https://openalex.org/W3205209293","https://openalex.org/W3205323849","https://openalex.org/W3205401303","https://openalex.org/W3205827147","https://openalex.org/W3208539124","https://openalex.org/W3208922783","https://openalex.org/W3213734590","https://openalex.org/W3215048264","https://openalex.org/W4200437452","https://openalex.org/W4200550577","https://openalex.org/W4205424174","https://openalex.org/W4206102187","https://openalex.org/W4206994619","https://openalex.org/W4210692134","https://openalex.org/W4210943502","https://openalex.org/W4220708699","https://openalex.org/W4220709153","https://openalex.org/W4220727424","https://openalex.org/W4220752059","https://openalex.org/W4220957006","https://openalex.org/W4225000981","https://openalex.org/W4225006042","https://openalex.org/W4225146933","https://openalex.org/W4225282899","https://openalex.org/W4226224676","https://openalex.org/W4226338739","https://openalex.org/W4229441694","https://openalex.org/W4280496611","https://openalex.org/W4280543742","https://openalex.org/W4281616161","https://openalex.org/W4283021521","https://openalex.org/W4283697304","https://openalex.org/W4283815139","https://openalex.org/W4287877729","https://openalex.org/W4289731836","https://openalex.org/W4290052862","https://openalex.org/W4290714015","https://openalex.org/W4290998930","https://openalex.org/W4293824888","https://openalex.org/W4295954033","https://openalex.org/W4296640553","https://openalex.org/W4306157628","https://openalex.org/W4307101385","https://openalex.org/W4313419944","https://openalex.org/W4313575226","https://openalex.org/W4317739596","https://openalex.org/W4318041127","https://openalex.org/W4363677200","https://openalex.org/W4364379307","https://openalex.org/W4366281476","https://openalex.org/W4367319551","https://openalex.org/W4372348013","https://openalex.org/W4376492034","https://openalex.org/W4377000527","https://openalex.org/W4379229760","https://openalex.org/W4380551644","https://openalex.org/W4390874575","https://openalex.org/W6740164494","https://openalex.org/W6752009861","https://openalex.org/W6779498761","https://openalex.org/W6783177639","https://openalex.org/W6801261395","https://openalex.org/W6801268931","https://openalex.org/W6801882512","https://openalex.org/W6802647343","https://openalex.org/W6802868492","https://openalex.org/W6804773651","https://openalex.org/W6805163190","https://openalex.org/W6810268052","https://openalex.org/W6810931773","https://openalex.org/W6841417818","https://openalex.org/W6841667698"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2250140200","https://openalex.org/W3121791438"],"abstract_inverted_index":{"The":[0,68,180],"rapid":[1],"advancement":[2],"of":[3,13,33,70,93,129,136,142,194],"remote":[4,14,18,58,71],"sensing":[5,15,19,59,72],"technology":[6],"has":[7,77,82],"significantly":[8],"enhanced":[9],"the":[10,31,98,156,188],"temporal":[11],"resolution":[12],"data.":[16],"Multitemporal":[17],"image":[20,172],"classification":[21,73],"can":[22],"extract":[23],"richer":[24],"spatiotemporal":[25],"features.":[26,37],"However,":[27,88],"this":[28,41,119,146,195],"also":[29],"presents":[30],"challenge":[32],"mining":[34],"massive":[35],"data":[36],"In":[38],"response":[39],"to":[40,61,64,183],"challenge,":[42],"deep":[43,75,163],"learning":[44,51,76,164],"methods":[45],"have":[46,53],"become":[47,78],"prevalent":[48],"in":[49,57,85,103],"machine":[50],"and":[52,74,81,95,101,109,113,139,151,166,174,177,191],"been":[54],"widely":[55],"applied":[56],"due":[60],"their":[62],"ability":[63],"handle":[65],"large":[66],"datasets.":[67],"combination":[69],"a":[79,91,115,140],"trend":[80],"developed":[83],"rapidly":[84],"recent":[86],"years.":[87],"there":[89],"is":[90,182],"lack":[92],"summary":[94],"discussion":[96,141],"on":[97],"research":[99,116,189],"status":[100,193],"trends":[102],"multitemporal":[104,130,167],"images.":[105],"This":[106],"review":[107],"retrieved":[108],"screened":[110],"170":[111],"papers":[112],"proposed":[114],"framework":[117],"for":[118,155,170],"field.":[120,196],"It":[121],"includes":[122],"retrieval":[123],"statistics":[124],"from":[125,158],"existing":[126],"research,":[127],"preparation":[128],"datasets,":[131],"sample":[132],"acquisition,":[133],"an":[134],"overview":[135],"typical":[137],"models,":[138],"application":[143,192],"status.":[144],"Finally,":[145],"paper":[147],"discusses":[148],"current":[149],"problems":[150],"puts":[152],"forward":[153],"prospects":[154,169],"future":[157],"three":[159],"directions:":[160],"adaptability":[161],"between":[162],"models":[165],"classification,":[168],"high-resolution":[171],"applications,":[173],"large-scale":[175],"monitoring":[176],"model":[178],"generalization.":[179],"aim":[181],"help":[184],"readers":[185],"quickly":[186],"understand":[187],"process":[190]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}