{"id":"https://openalex.org/W3044492802","doi":"https://doi.org/10.1109/tnnls.2020.3007412","title":"C-CNN: Contourlet Convolutional Neural Networks","display_name":"C-CNN: Contourlet Convolutional Neural Networks","publication_year":2020,"publication_date":"2020-07-21","ids":{"openalex":"https://openalex.org/W3044492802","doi":"https://doi.org/10.1109/tnnls.2020.3007412","mag":"3044492802","pmid":"https://pubmed.ncbi.nlm.nih.gov/32692683"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.3007412","doi":"https://doi.org/10.1109/tnnls.2020.3007412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3007412","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-b","cwts-core","dongbi-a","doyens","jufo-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mengkun Liu","orcid":"https://orcid.org/0000-0001-7614-4260","observed_orcids":["https://orcid.org/0000-0001-7614-4260"]},"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":"Mengkun Liu","raw_affiliation_strings":["Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0001-7614-4260","affiliations":[{"raw_affiliation_string":"Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617","observed_orcids":["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":["Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0003-3354-9617","affiliations":[{"raw_affiliation_string":"Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331710","display_name":"Xu Liu","orcid":"https://orcid.org/0000-0002-8780-5455","observed_orcids":["https://orcid.org/0000-0002-8780-5455"]},"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":"Xu Liu","raw_affiliation_strings":["Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0002-8780-5455","affiliations":[{"raw_affiliation_string":"Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443350","display_name":"Lingling Li","orcid":"https://orcid.org/0000-0002-6130-2518","observed_orcids":["https://orcid.org/0000-0002-6130-2518"]},"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":"Lingling Li","raw_affiliation_strings":["Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453075","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0002-5669-9354","observed_orcids":["https://orcid.org/0000-0002-5669-9354"]},"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":"Fang Liu","raw_affiliation_strings":["Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0002-5669-9354","affiliations":[{"raw_affiliation_string":"Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100764373","display_name":"Shuyuan Yang","orcid":"https://orcid.org/0000-0002-4796-5737","observed_orcids":["https://orcid.org/0000-0002-4796-5737"]},"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":"Shuyuan Yang","raw_affiliation_strings":["Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0002-4796-5737","affiliations":[{"raw_affiliation_string":"Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, 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":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":8.4357,"has_fulltext":false,"cited_by_count":198,"citation_normalized_percentile":{"value":0.98635379,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":"32","issue":"6","first_page":"2636","last_page":"2649"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.6934000253677368,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.6934000253677368,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.26440000534057617,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.013799999840557575,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/texture-classification","display_name":"texture classification","score":0.7919999957084656},{"id":"https://openalex.org/keywords/contourlet-transform","display_name":"contourlet transform","score":0.9980000257492065},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9020000100135803},{"id":"https://openalex.org/keywords/spectral-spatial-feature-fusion","display_name":"spectral-spatial fusion","score":0.9639999866485596},{"id":"https://openalex.org/keywords/sparse-feature-representation","display_name":"sparse feature representation","score":0.8489999771118164},{"id":"https://openalex.org/keywords/remote-sensing-image-classification","display_name":"remote sensing image classification","score":0.7739999890327454},{"id":"https://openalex.org/keywords/frequency-domain-characteristics","display_name":"frequency-domain features","score":0.3959999978542328}],"concepts":[{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.8288134336471558},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7911754846572876},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7605875730514526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7268751263618469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7240703701972961},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5955947637557983},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5550228357315063},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5160295963287354},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5027496814727783},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4590245187282562},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42158716917037964},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41813230514526367},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35188767313957214},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.14540520310401917},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1453913152217865},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.06182083487510681},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.3007412","doi":"https://doi.org/10.1109/tnnls.2020.3007412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3007412","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-b","cwts-core","dongbi-a","doyens","jufo-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:32692683","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32692683","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1298212217","display_name":null,"funder_award_id":"61906150","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G163776837","display_name":null,"funder_award_id":"61871310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2552413355","display_name":null,"funder_award_id":"U1701267","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2559168354","display_name":null,"funder_award_id":"91438201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2743047296","display_name":null,"funder_award_id":"61573267","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G359258897","display_name":null,"funder_award_id":"61621005","funder_id":"https://openalex.org/F4320327720","funder_display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China"},{"id":"https://openalex.org/G4593460045","display_name":null,"funder_award_id":"91438103.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6064259915","display_name":null,"funder_award_id":"61801124","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"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327720","display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":98,"referenced_works":["https://openalex.org/W117610523","https://openalex.org/W1522301498","https://openalex.org/W1568411566","https://openalex.org/W1572227757","https://openalex.org/W1588660089","https://openalex.org/W1593720018","https://openalex.org/W1594551768","https://openalex.org/W1909952827","https://openalex.org/W1958291604","https://openalex.org/W1966999409","https://openalex.org/W1970127440","https://openalex.org/W1978238148","https://openalex.org/W1980038761","https://openalex.org/W1980287119","https://openalex.org/W1996538584","https://openalex.org/W2000123870","https://openalex.org/W2001453691","https://openalex.org/W2013228134","https://openalex.org/W2023411620","https://openalex.org/W2026517469","https://openalex.org/W2033351162","https://openalex.org/W2034017214","https://openalex.org/W2034621343","https://openalex.org/W2039051707","https://openalex.org/W2040297970","https://openalex.org/W2042161430","https://openalex.org/W2044097773","https://openalex.org/W2044465660","https://openalex.org/W2047643928","https://openalex.org/W2050073322","https://openalex.org/W2060436244","https://openalex.org/W2066719570","https://openalex.org/W2069912449","https://openalex.org/W2082370829","https://openalex.org/W2094056275","https://openalex.org/W2096613063","https://openalex.org/W2097290407","https://openalex.org/W2102605133","https://openalex.org/W2103504761","https://openalex.org/W2108801682","https://openalex.org/W2112853922","https://openalex.org/W2115755118","https://openalex.org/W2117395697","https://openalex.org/W2117853853","https://openalex.org/W2120041316","https://openalex.org/W2120846928","https://openalex.org/W2124925264","https://openalex.org/W2125027853","https://openalex.org/W2125411021","https://openalex.org/W2131356744","https://openalex.org/W2131386954","https://openalex.org/W2139552635","https://openalex.org/W2145429021","https://openalex.org/W2145889472","https://openalex.org/W2147141800","https://openalex.org/W2152187293","https://openalex.org/W2152671393","https://openalex.org/W2154209944","https://openalex.org/W2157757883","https://openalex.org/W2160556591","https://openalex.org/W2161208721","https://openalex.org/W2163005195","https://openalex.org/W2163352848","https://openalex.org/W2163605009","https://openalex.org/W2164039212","https://openalex.org/W2194775991","https://openalex.org/W2235224676","https://openalex.org/W2395611524","https://openalex.org/W2509146328","https://openalex.org/W2515866431","https://openalex.org/W2520775293","https://openalex.org/W2536960135","https://openalex.org/W2592962403","https://openalex.org/W2620429297","https://openalex.org/W2621526417","https://openalex.org/W2737081839","https://openalex.org/W2744582969","https://openalex.org/W2753799023","https://openalex.org/W2767635982","https://openalex.org/W2789663503","https://openalex.org/W2790181963","https://openalex.org/W2791770780","https://openalex.org/W2792261129","https://openalex.org/W2804005492","https://openalex.org/W2807872667","https://openalex.org/W2883982921","https://openalex.org/W2904419612","https://openalex.org/W2910641067","https://openalex.org/W2948329096","https://openalex.org/W2954156245","https://openalex.org/W2960951787","https://openalex.org/W2963173190","https://openalex.org/W2963446712","https://openalex.org/W2963911037","https://openalex.org/W2964121744","https://openalex.org/W2964193438","https://openalex.org/W2974373385","https://openalex.org/W6638444622"],"related_works":["https://openalex.org/W2737081839","https://openalex.org/W2974874674","https://openalex.org/W2152187293","https://openalex.org/W358935159","https://openalex.org/W2235224676","https://openalex.org/W2996759277","https://openalex.org/W3048354934","https://openalex.org/W3164100133","https://openalex.org/W2965592464","https://openalex.org/W2804005492"],"abstract_inverted_index":{"Extracting":[0],"effective":[1,89],"features":[2,104,120,127],"is":[3,28,98,114],"always":[4],"a":[5,74],"challenging":[6],"problem":[7],"for":[8,68,92],"texture":[9,24,50,165],"classification":[10,51,192,197],"because":[11],"of":[12,15,20,41,153,196],"the":[13,18,32,39,49,54,95,102,109,118,125,131,134,139,145,151,154,161,186],"uncertainty":[14],"scales":[16],"and":[17,72,88,170,172,182],"clutter":[19],"textural":[21],"patterns.":[22],"For":[23],"classification,":[25],"spectral":[26,103,119],"analysis":[27],"traditionally":[29],"employed":[30],"in":[31,53,65,156,194],"frequency":[33],"domain.":[34,56],"Recent":[35],"studies":[36],"have":[37],"shown":[38],"potential":[40],"convolutional":[42],"neural":[43],"networks":[44],"(CNNs)":[45],"when":[46],"dealing":[47],"with":[48,199],"task":[52],"spatial":[55],"In":[57],"this":[58],"article,":[59],"we":[60],"try":[61],"combining":[62],"both":[63],"approaches":[64],"different":[66],"domains":[67],"more":[69],"abundant":[70],"information":[71],"proposed":[73,187],"novel":[75],"network":[76,83,132],"architecture":[77],"named":[78],"contourlet":[79,96,157],"CNN":[80,122],"(C-CNN).":[81],"The":[82],"aims":[84],"to":[85,100,116],"learn":[86],"sparse":[87],"feature":[90,111,136],"representations":[91],"images.":[93],"First,":[94],"transform":[97],"applied":[99],"get":[101],"from":[105],"an":[106],"image.":[107],"Second,":[108],"spatial-spectral":[110],"fusion":[112,146],"strategy":[113],"designed":[115],"incorporate":[117],"into":[121,130],"architecture.":[123],"Third,":[124],"statistical":[126,135],"are":[128,141],"integrated":[129],"by":[133,143],"fusion.":[137],"Finally,":[138],"results":[140],"obtained":[142],"classifying":[144],"features.":[147],"We":[148],"also":[149],"investigated":[150],"behavior":[152],"parameters":[155],"decomposition.":[158],"Experiments":[159],"on":[160],"widely":[162],"used":[163],"three":[164],"data":[166,176],"sets":[167,177],"(kth-tips2-b,":[168],"DTD,":[169],"CUReT)":[171],"five":[173],"remote":[174],"sensing":[175],"(UCM,":[178],"WHU-RS,":[179],"AID,":[180],"RSSCN7,":[181],"NWPU-RESISC45)":[183],"demonstrate":[184],"that":[185],"approach":[188],"outperforms":[189],"several":[190],"well-known":[191],"methods":[193],"terms":[195],"accuracy":[198],"fewer":[200],"trainable":[201],"parameters.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":38},{"year":2024,"cited_by_count":44},{"year":2023,"cited_by_count":46},{"year":2022,"cited_by_count":38},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-07-29T00:00:00"}
