{"id":"https://openalex.org/W3138758234","doi":"https://doi.org/10.1109/tgrs.2021.3063287","title":"Contextual Information-Preserved Architecture Learning for Remote-Sensing Scene Classification","display_name":"Contextual Information-Preserved Architecture Learning for Remote-Sensing Scene Classification","publication_year":2021,"publication_date":"2021-03-17","ids":{"openalex":"https://openalex.org/W3138758234","doi":"https://doi.org/10.1109/tgrs.2021.3063287","mag":"3138758234"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3063287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3063287","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/A5084932231","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0002-3864-9265"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3864-9265","affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070131811","display_name":"Haozhe Huang","orcid":"https://orcid.org/0000-0003-1675-2170"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haozhe Huang","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-1675-2170","affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047373240","display_name":"Jian Peng","orcid":"https://orcid.org/0000-0002-1820-4015"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Peng","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-1820-4015","affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003813154","display_name":"Jiawei Zhu","orcid":"https://orcid.org/0000-0002-2961-1302"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Zhu","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2961-1302","affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379250","display_name":"Li Chen","orcid":"https://orcid.org/0000-0002-4761-5913"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Chen","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073640524","display_name":"Chao Tao","orcid":"https://orcid.org/0000-0003-0071-310X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Tao","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-0071-310X","affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398353","display_name":"Haifeng Li","orcid":"https://orcid.org/0000-0003-1173-6593"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Li","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-1173-6593","affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":2.9898,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91700614,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9965000152587891,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9882000088691711,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8293709754943848},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.7179656624794006},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5966085195541382},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5063139200210571},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5054097175598145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4927506744861603},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.45664188265800476},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44916069507598877},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44089025259017944},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3514025807380676},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.243342787027359},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15377449989318848},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0755884051322937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8293709754943848},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.7179656624794006},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5966085195541382},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5063139200210571},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5054097175598145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4927506744861603},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.45664188265800476},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44916069507598877},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44089025259017944},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3514025807380676},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.243342787027359},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15377449989318848},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0755884051322937},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2021.3063287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3063287","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":[{"score":0.5799999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1053941327","display_name":null,"funder_award_id":"41871364","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2025850787","display_name":null,"funder_award_id":"41571397","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2090819383","display_name":"\u9ad8\u5206\u8fa8\u7387\u9065\u611f\u5f71\u50cf\"\u573a\u666f-\u76ee\u6807\"\u534f\u540c\u7406\u89e3\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41771458","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8519497944","display_name":null,"funder_award_id":"42071427","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/F4320321514","display_name":"Central South University","ror":"https://ror.org/00f1zfq44"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1912954554","https://openalex.org/W1980038761","https://openalex.org/W1984792953","https://openalex.org/W1988981738","https://openalex.org/W1989316905","https://openalex.org/W2005368619","https://openalex.org/W2073201137","https://openalex.org/W2092155521","https://openalex.org/W2097117768","https://openalex.org/W2098642880","https://openalex.org/W2103079830","https://openalex.org/W2128579323","https://openalex.org/W2161969291","https://openalex.org/W2183341477","https://openalex.org/W2190186811","https://openalex.org/W2194775991","https://openalex.org/W2253590344","https://openalex.org/W2268837224","https://openalex.org/W2347115704","https://openalex.org/W2412782625","https://openalex.org/W2470786530","https://openalex.org/W2515866431","https://openalex.org/W2553303224","https://openalex.org/W2592962403","https://openalex.org/W2620429297","https://openalex.org/W2626107033","https://openalex.org/W2727875856","https://openalex.org/W2760340275","https://openalex.org/W2772452219","https://openalex.org/W2794948653","https://openalex.org/W2890732922","https://openalex.org/W2912089046","https://openalex.org/W2919115771","https://openalex.org/W2919352650","https://openalex.org/W2943270518","https://openalex.org/W2951104886","https://openalex.org/W2954156245","https://openalex.org/W2963446712","https://openalex.org/W2963840672","https://openalex.org/W2964081807","https://openalex.org/W2964515685","https://openalex.org/W2965658867","https://openalex.org/W2969689033","https://openalex.org/W2981748264","https://openalex.org/W2981985696","https://openalex.org/W2991488782","https://openalex.org/W3004916592","https://openalex.org/W3006039757","https://openalex.org/W3037215700","https://openalex.org/W3040777427","https://openalex.org/W3043257208","https://openalex.org/W3047443805","https://openalex.org/W3047889186","https://openalex.org/W3048631361","https://openalex.org/W3080181119","https://openalex.org/W3095058588","https://openalex.org/W3100892511","https://openalex.org/W3102692100","https://openalex.org/W3103695279","https://openalex.org/W3105577662","https://openalex.org/W4248710273","https://openalex.org/W6637373629","https://openalex.org/W6687157873","https://openalex.org/W6696085341","https://openalex.org/W6729956949","https://openalex.org/W6734593296","https://openalex.org/W6752515464","https://openalex.org/W6753344092","https://openalex.org/W6759828284","https://openalex.org/W6766225098","https://openalex.org/W6771784742"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W2766604260","https://openalex.org/W2986507176","https://openalex.org/W3160711233","https://openalex.org/W4220996320","https://openalex.org/W3018421652","https://openalex.org/W2996856019","https://openalex.org/W2470368200","https://openalex.org/W3160224718","https://openalex.org/W4281780675"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"(CNNs)":[3],"have":[4],"recently":[5],"been":[6],"widely":[7],"used":[8,137],"in":[9,33,65,92,196],"remote-sensing":[10,35,41,84,158,165],"scene":[11,85,139,166],"classification.":[12],"Additionally,":[13],"it":[14,122],"is":[15,38],"becoming":[16],"very":[17],"popular":[18,187],"to":[19,40,50,58,87,124,149],"automatically":[20],"learn":[21],"specific":[22,26],"CNN":[23],"architectures":[24,152,173,185,189,199],"for":[25,61,83,138,157,190,222],"data":[27,54],"sets.":[28],"The":[29,160],"rich":[30],"contextual":[31,66,77,90,194],"information":[32,67,91,195],"high-resolution":[34],"images":[36,57],"(RSIs)":[37],"critical":[39],"intelligent":[42,224],"understanding":[43],"tasks.":[44],"However,":[45],"architecture":[46,79,100,118,128,147,209],"learning":[47,80,101,119,203,210],"approaches":[48],"tend":[49],"simplify":[51],"the":[52,89,99,112,146,182],"original":[53],"(i.e.,":[55,142],"resizing":[56],"smaller":[59],"resolution)":[60],"efficiency,":[62],"yet":[63],"result":[64],"loss":[68],"of":[69,117,193,218],"RSIs.":[70,197],"In":[71],"this":[72],"article,":[73],"we":[74],"proposed":[75,208],"a":[76,126],"information-preserved":[78],"(CIPAL)":[81],"framework":[82],"classification":[86,140,167],"utilize":[88],"RSIs":[93],"as":[94,96],"much":[95],"possible":[97,123],"during":[98],"process.":[102],"We":[103,130],"introduce":[104],"channel":[105],"compression":[106],"into":[107,145],"CIPAL,":[108],"which":[109,216],"can":[110],"reduce":[111],"memory":[113],"and":[114,120,181,206],"time":[115,176],"consumption":[116,177],"make":[121],"construct":[125],"larger":[127],"space.":[129],"add":[131],"potential":[132],"operators":[133],"that":[134,153,170],"are":[135,154,200,220],"rarely":[136],"tasks":[141],"atrous":[143],"convolution)":[144],"space":[148],"explore":[150],"unknown":[151],"more":[155],"suitable":[156],"scenes.":[159],"experimental":[161],"results":[162],"on":[163],"four":[164],"benchmarks":[168],"indicate":[169],"CIPAL":[171],"learns":[172],"with":[174],"less":[175],"than":[178],"similar":[179],"works,":[180],"newly":[183],"found":[184],"outperform":[186],"hand-designed":[188],"better":[191],"use":[192],"Different":[198],"good":[201],"at":[202],"different":[204],"representations,":[205],"our":[207],"method":[211],"potentially":[212],"helps":[213],"us":[214],"understand":[215],"types":[217],"representations":[219],"crucial":[221],"RSI":[223],"understanding.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
