{"id":"https://openalex.org/W1978577993","doi":"https://doi.org/10.1109/tgrs.2015.2389520","title":"A Novel Graph-Matching-Based Approach for Domain Adaptation in Classification of Remote Sensing Image Pair","display_name":"A Novel Graph-Matching-Based Approach for Domain Adaptation in Classification of Remote Sensing Image Pair","publication_year":2015,"publication_date":"2015-02-09","ids":{"openalex":"https://openalex.org/W1978577993","doi":"https://doi.org/10.1109/tgrs.2015.2389520","mag":"1978577993"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2015.2389520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2015.2389520","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5020786167","display_name":"Biplab Banerjee","orcid":"https://orcid.org/0000-0001-8371-8138"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Biplab Banerjee","raw_affiliation_strings":["Centre of Studies in Resources Engineering, Indian Institute of Technology, Bombay, Mumbai, India","Centre of Studies in Resources Engineering Indian Institute of Technology-Bombay,Mumbai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Studies in Resources Engineering, Indian Institute of Technology, Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Centre of Studies in Resources Engineering Indian Institute of Technology-Bombay,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087668203","display_name":"Francesca Bovolo","orcid":"https://orcid.org/0000-0003-3104-7656"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Bovolo","raw_affiliation_strings":["Remote Sensing for Digital Earth, Fondazione Bruno Kessler, Trento, Italy","[Remote Sensing for Digital Earth, Fondazione Bruno Kessler, Trento, Italy]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing for Digital Earth, Fondazione Bruno Kessler, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]},{"raw_affiliation_string":"[Remote Sensing for Digital Earth, Fondazione Bruno Kessler, Trento, Italy]","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057547054","display_name":"Avik Bhattacharya","orcid":"https://orcid.org/0000-0001-6720-6108"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Avik Bhattacharya","raw_affiliation_strings":["Centre of Studies in Resources Engineering, Indian Institute of Technology, Bombay, Mumbai, India","Centre of Studies in Resources Engineering Indian Institute of Technology-Bombay,Mumbai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Studies in Resources Engineering, Indian Institute of Technology, Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Centre of Studies in Resources Engineering Indian Institute of Technology-Bombay,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006095323","display_name":"Lorenzo Bruzzone","orcid":"https://orcid.org/0000-0002-6036-459X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Bruzzone","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","Department of Information Engineering and Computer Science, University of Trento , Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento , Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016405213","display_name":"Subhasis Chaudhuri","orcid":"https://orcid.org/0000-0002-1680-0016"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subhasis Chaudhuri","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Bombay, Mumbai, India","Dept. of Electr. Eng., Indian Inst. of Technol. Bombay, Mumbai, India#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Indian Inst. of Technol. Bombay, Mumbai, India#TAB#","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059951735","display_name":"Krishna Mohan Buddhiraju","orcid":"https://orcid.org/0000-0001-6815-8988"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Krishna Mohan Buddhiraju","raw_affiliation_strings":["Centre of Studies in Resources Engineering, Indian Institute of Technology, Bombay, Mumbai, India","Centre of Studies in Resources Engineering Indian Institute of Technology-Bombay,Mumbai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Studies in Resources Engineering, Indian Institute of Technology, Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Centre of Studies in Resources Engineering Indian Institute of Technology-Bombay,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.3133,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.96560736,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"53","issue":"7","first_page":"4045","last_page":"4062"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983000159263611,"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":0.9983000159263611,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9815000295639038,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9811000227928162,"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":0.659916877746582},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.599224328994751},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5749982595443726},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5127628445625305},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.46758008003234863},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.46719762682914734},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4664710462093353},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44573521614074707},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43187853693962097},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41825687885284424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4161808490753174},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.4101066589355469},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3586934804916382},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3474065363407135},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2724960148334503},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16015297174453735}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.659916877746582},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.599224328994751},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5749982595443726},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5127628445625305},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.46758008003234863},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.46719762682914734},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4664710462093353},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44573521614074707},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43187853693962097},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41825687885284424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4161808490753174},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4101066589355469},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3586934804916382},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3474065363407135},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2724960148334503},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16015297174453735},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tgrs.2015.2389520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2015.2389520","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:dsapce.library.iitb.ac.in:100/18248","is_oa":false,"landing_page_url":"http://doi.org/10.1109/TGRS.2015.2389520","pdf_url":null,"source":{"id":"https://openalex.org/S4306400899","display_name":"DSpace (IIT Bombay)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I162827531","host_organization_name":"Indian Institute of Technology Bombay","host_organization_lineage":["https://openalex.org/I162827531"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:dspace.library.iitb.ac.in:100/18248","is_oa":false,"landing_page_url":"http://dspace.library.iitb.ac.in/jspui/handle/100/18248","pdf_url":null,"source":{"id":"https://openalex.org/S4306400899","display_name":"DSpace (IIT Bombay)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I162827531","host_organization_name":"Indian Institute of Technology Bombay","host_organization_lineage":["https://openalex.org/I162827531"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:dspace.library.iitb.ac.in:100/18249","is_oa":false,"landing_page_url":"http://dspace.library.iitb.ac.in/jspui/handle/100/18249","pdf_url":null,"source":{"id":"https://openalex.org/S4306400899","display_name":"DSpace (IIT Bombay)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I162827531","host_organization_name":"Indian Institute of Technology Bombay","host_organization_lineage":["https://openalex.org/I162827531"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:iris.unitn.it:11572/99329","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/99329","pdf_url":null,"source":{"id":"https://openalex.org/S4377196320","display_name":"Iris (University of Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.5699999928474426,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W18725345","https://openalex.org/W59495185","https://openalex.org/W122496867","https://openalex.org/W1623080549","https://openalex.org/W1977461281","https://openalex.org/W1978380673","https://openalex.org/W1987971958","https://openalex.org/W2008783166","https://openalex.org/W2024886312","https://openalex.org/W2027264060","https://openalex.org/W2040042542","https://openalex.org/W2100740156","https://openalex.org/W2107160712","https://openalex.org/W2109294083","https://openalex.org/W2114425727","https://openalex.org/W2115893150","https://openalex.org/W2120708938","https://openalex.org/W2129932701","https://openalex.org/W2132481658","https://openalex.org/W2134663338","https://openalex.org/W2136568768","https://openalex.org/W2137900926","https://openalex.org/W2141039193","https://openalex.org/W2147405597","https://openalex.org/W2154772499","https://openalex.org/W2159570078","https://openalex.org/W2163288162","https://openalex.org/W2165698076","https://openalex.org/W2797602122","https://openalex.org/W3148595793","https://openalex.org/W4400445037","https://openalex.org/W6660184239"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W4318664220","https://openalex.org/W3034375524","https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W2988577871","https://openalex.org/W1987483041","https://openalex.org/W2043913960"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,14,23,28,37,43,59,62,66,78,93,112,126,132,145,161,172,183,206,209,225,230,253,256,261,270,283,286],"problem":[4],"of":[5,8,16,22,36,65,114,144,148,180,212,255,260,265,275,285],"land-cover":[6,67,88,115,213],"classification":[7,226],"remotely":[9],"sensed":[10],"image":[11,45,267],"pairs":[12],"in":[13,70,131,289],"context":[15],"domain":[17,76,134,174,186],"adaptation.":[18],"The":[19,80,165,280],"primary":[20],"assumption":[21,54],"proposed":[24,108,158,166,257,287],"method":[25,193],"is":[26,55,83,90,107,139,157,203,221],"that":[27,84,208],"training":[29,187],"data":[30,50,175,235,247,262],"are":[31,51,118,249],"available":[32,184],"only":[33,81],"for":[34,42],"one":[35,75,87,245,272],"images":[38,274],"(source":[39],"domain),":[40,47],"whereas":[41],"other":[44],"(target":[46],"no":[48],"labeled":[49],"available.":[52],"No":[53],"made":[56],"here":[57],"on":[58,195],"number":[60,179],"and":[61,151,198,239,244],"statistical":[63],"properties":[64],"classes":[68,116,130,214],"that,":[69],"turn,":[71],"may":[72,215],"vary":[73],"from":[74],"to":[77,109,120,159,223,251],"other.":[79],"constraint":[82],"at":[85],"least":[86],"class":[89,146],"shared":[91],"by":[92,229],"two":[94],"domains.":[95],"Under":[96],"these":[97],"assumptions,":[98],"a":[99,192,199,218],"novel":[100],"graph":[101,138],"theoretic":[102],"cross-domain":[103],"cluster":[104,167],"mapping":[105,168],"algorithm":[106,156,169,202],"detect":[110],"efficiently":[111],"set":[113,248],"which":[117,141],"common":[119],"both":[121,149],"domains":[122],"as":[123,125],"well":[124],"additional":[127],"or":[128],"missing":[129],"target":[133,173],"image.":[135],"An":[136],"interdomain":[137],"introduced,":[140],"contains":[142,273],"all":[143],"information":[147,196],"images,":[150],"subsequently,":[152],"an":[153,177],"efficient":[154],"subgraph-matching":[155],"highlight":[160],"changes":[162],"between":[163],"them.":[164],"initially":[170],"clusters":[171],"into":[176],"optimal":[178],"groups":[181],"given":[182],"source":[185],"samples.":[188],"To":[189],"this":[190],"end,":[191],"based":[194],"theory":[197],"kernel-based":[200],"clustering":[201,231],"proposed.":[204],"Considering":[205],"fact":[207],"spectral":[210],"signature":[211],"overlap":[216],"significantly,":[217],"postprocessing":[219],"step":[220],"applied":[222],"refine":[224],"map":[227],"produced":[228],"algorithm.":[232],"Two":[233,259],"multispectral":[234],"sets":[236,263],"with":[237],"medium":[238],"very":[240],"high":[241],"geometrical":[242],"resolution":[243],"hyperspectral":[246],"considered":[250],"evaluate":[252],"robustness":[254],"technique.":[258],"consist":[264],"multitemporal":[266],"pairs,":[268],"while":[269],"remaining":[271],"spatially":[276],"disjoint":[277],"geographical":[278],"areas.":[279],"experiments":[281],"confirm":[282],"effectiveness":[284],"framework":[288],"different":[290],"complex":[291],"scenarios.":[292]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}