{"id":"https://openalex.org/W4390738736","doi":"https://doi.org/10.1109/tgrs.2024.3352816","title":"Intra- and Intersource Interactive Representation Learning Network for Remote Sensing Images Classification","display_name":"Intra- and Intersource Interactive Representation Learning Network for Remote Sensing Images Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390738736","doi":"https://doi.org/10.1109/tgrs.2024.3352816"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3352816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3352816","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/A5065027008","display_name":"Wenping Ma","orcid":"https://orcid.org/0000-0001-8872-2195"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenping Ma","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-8872-2195","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102603192","display_name":"Yanshan Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanshan Guo","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058268359","display_name":"Hao Zhu","orcid":"https://orcid.org/0000-0003-4411-0933"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhu","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-4411-0933","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050802222","display_name":"Xiaoyu Yi","orcid":"https://orcid.org/0009-0006-0760-778X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Yi","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070750681","display_name":"Wenhao Zhao","orcid":"https://orcid.org/0000-0002-8864-0082"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Zhao","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009576623","display_name":"Yue Wu","orcid":"https://orcid.org/0000-0002-3459-5079"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wu","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-3459-5079","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043022387","display_name":"Biao Hou","orcid":"https://orcid.org/0000-0002-1996-186X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Hou","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-1996-186X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-3354-9617","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":2.475,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.89327194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9939000010490417,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9936000108718872,"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":0.8092389106750488},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.7174227237701416},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5626437664031982},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5502755641937256},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.4955838918685913},{"id":"https://openalex.org/keywords/open-source","display_name":"Open source","score":0.4890609681606293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4662168622016907},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41425469517707825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.371722012758255},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09874817728996277}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8092389106750488},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.7174227237701416},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5626437664031982},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5502755641937256},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.4955838918685913},{"id":"https://openalex.org/C3018397939","wikidata":"https://www.wikidata.org/wiki/Q3644502","display_name":"Open source","level":3,"score":0.4890609681606293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4662168622016907},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41425469517707825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.371722012758255},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09874817728996277},{"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/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3352816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3352816","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1741041753","display_name":null,"funder_award_id":"U22B2054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1949608614","display_name":null,"funder_award_id":"62036006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3960429886","display_name":null,"funder_award_id":"62276199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G439018681","display_name":null,"funder_award_id":"62171347","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6270178909","display_name":null,"funder_award_id":"61836009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G731801172","display_name":null,"funder_award_id":"62276200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7678701110","display_name":null,"funder_award_id":"62006179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1584663654","https://openalex.org/W2036827571","https://openalex.org/W2064366277","https://openalex.org/W2111654093","https://openalex.org/W2302265399","https://openalex.org/W2592962403","https://openalex.org/W2886079389","https://openalex.org/W2947195359","https://openalex.org/W2964067226","https://openalex.org/W2979826702","https://openalex.org/W2998715212","https://openalex.org/W3022140654","https://openalex.org/W3035072679","https://openalex.org/W3090206042","https://openalex.org/W3093896170","https://openalex.org/W3104418202","https://openalex.org/W3115994626","https://openalex.org/W3134909147","https://openalex.org/W3163345093","https://openalex.org/W3205944634","https://openalex.org/W3206953993","https://openalex.org/W3210372881","https://openalex.org/W3211012720","https://openalex.org/W3213272555","https://openalex.org/W4210884681","https://openalex.org/W4214873631","https://openalex.org/W4225910295","https://openalex.org/W4226182700","https://openalex.org/W4226512186","https://openalex.org/W4280490589","https://openalex.org/W4280563105","https://openalex.org/W4285285265","https://openalex.org/W4296339430","https://openalex.org/W4296558692","https://openalex.org/W4302275239","https://openalex.org/W4312462231","https://openalex.org/W4312569333","https://openalex.org/W4312918841","https://openalex.org/W4313598792","https://openalex.org/W4321021750","https://openalex.org/W4321483862","https://openalex.org/W4321484009","https://openalex.org/W4323064998","https://openalex.org/W4323338626","https://openalex.org/W4323543215","https://openalex.org/W4366503951","https://openalex.org/W4375802462","https://openalex.org/W4382203304","https://openalex.org/W4382371057","https://openalex.org/W4384917159","https://openalex.org/W6697828997"],"related_works":["https://openalex.org/W1930929277","https://openalex.org/W2158394102","https://openalex.org/W2361746014","https://openalex.org/W1502637513","https://openalex.org/W2124952510","https://openalex.org/W2375311607","https://openalex.org/W2022261651","https://openalex.org/W2565514930","https://openalex.org/W2143372509","https://openalex.org/W3007156798"],"abstract_inverted_index":{"Recently,":[0],"remote":[1,31,74],"sensing":[2,32,75],"technology":[3],"has":[4,18,160],"developed":[5],"faster":[6],"and":[7,9,14,100,110,140],"faster,":[8],"obtaining":[10],"high-quality":[11],"panchromatic":[12],"(PAN)":[13],"multispectral":[15],"(MS)":[16],"images":[17],"become":[19],"more":[20],"accessible.":[21],"The":[22,158,170],"complementarity":[23],"between":[24,43,56],"them":[25,57],"provides":[26],"new":[27],"opportunities":[28],"in":[29],"multisource":[30,44,73,91,143,156],"image":[33,76],"classification.":[34],"However,":[35],"solving":[36],"the":[37,40,49,53,72,95,111,114,123,138],"problem":[38,112],"of":[39,97,113,142],"semantic":[41,116],"gap":[42,117],"high-level":[45],"features":[46,99,107],"and,":[47],"at":[48],"same":[50],"time,":[51],"utilizing":[52],"complementary":[54,130,149],"properties":[55],"to":[58,137,163],"reduce":[59],"intersource":[60,102,115],"information":[61],"redundancy":[62],"is":[63,172],"still":[64],"a":[65,82,129,154],"challenge.":[66],"This":[67],"article":[68],"constructs":[69],"an$I^{3}$RL-Net":[70],"for":[71],"classification":[77],"task.":[78],"Specifically,":[79],"we":[80,127],"design":[81,128],"cross-source":[83,124],"interactive":[84],"enhanced":[85,103],"fusion":[86],"module":[87],"(CIEF-Module).":[88],"For":[89],"multilevel":[90],"features,":[92,144],"by":[93],"strengthening":[94],"dependencies":[96],"intrasource":[98,105],"conducting":[101],"fusion,":[104],"correlation":[106],"are":[108],"refined,":[109],"can":[118,146],"be":[119,164],"effectively":[120],"alleviated.":[121],"During":[122],"interaction":[125],"process,":[126],"representation":[131],"supervised":[132],"learning":[133],"strategy":[134],"(CRSL-Strategy).":[135],"According":[136],"similarities":[139],"differences":[141],"it":[145],"adaptively":[147],"promote":[148],"feature":[150],"learning,":[151],"thus":[152],"generating":[153],"nonredundant":[155],"representation.":[157],"method":[159],"been":[161],"verified":[162],"effective":[165],"on":[166],"multiple":[167],"RS":[168],"datasets.":[169],"code":[171],"open":[173],"source":[174],"at:https://github.com/Xidian-AIGroup190726/Ping-Pie-I3RL-Net.git.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}