{"id":"https://openalex.org/W3090692748","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207122","title":"Similar land-form discovery: Complex absolute-value max pooling in complex-valued convolutional neural networks in interferometric synthetic aperture radar","display_name":"Similar land-form discovery: Complex absolute-value max pooling in complex-valued convolutional neural networks in interferometric synthetic aperture radar","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090692748","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207122","mag":"3090692748"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5066868257","display_name":"Yuki Sunaga","orcid":"https://orcid.org/0000-0002-5371-9583"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuki Sunaga","raw_affiliation_strings":["Dept. Electrical Eng. & Info. Sys., The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. Electrical Eng. & Info. Sys., The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080770673","display_name":"Ryo Natsuaki","orcid":"https://orcid.org/0000-0003-2291-4375"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryo Natsuaki","raw_affiliation_strings":["Dept. Electrical Eng. & Info. Sys., The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. Electrical Eng. & Info. Sys., The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075783559","display_name":"Akira Hirose","orcid":"https://orcid.org/0000-0002-6936-9733"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Hirose","raw_affiliation_strings":["Dept. Electrical Eng. & Info. Sys., The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. Electrical Eng. & Info. Sys., The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066868257"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":1.7258,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86490788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/pooling","display_name":"Pooling","score":0.8330816030502319},{"id":"https://openalex.org/keywords/interferometric-synthetic-aperture-radar","display_name":"Interferometric synthetic aperture radar","score":0.7120781540870667},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7024427652359009},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6342152953147888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6213253140449524},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.591931939125061},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5854567289352417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5827656388282776},{"id":"https://openalex.org/keywords/interferometry","display_name":"Interferometry","score":0.493375688791275},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.44708967208862305},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43626832962036133},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3800664246082306},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34805458784103394},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2705790400505066},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17209628224372864},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1407739818096161},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12764951586723328},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08356872200965881}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8330816030502319},{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.7120781540870667},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7024427652359009},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6342152953147888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6213253140449524},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.591931939125061},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5854567289352417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5827656388282776},{"id":"https://openalex.org/C166689943","wikidata":"https://www.wikidata.org/wiki/Q850283","display_name":"Interferometry","level":2,"score":0.493375688791275},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.44708967208862305},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43626832962036133},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3800664246082306},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34805458784103394},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2705790400505066},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17209628224372864},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1407739818096161},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12764951586723328},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08356872200965881},{"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":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1545738987","https://openalex.org/W1976792405","https://openalex.org/W1979960439","https://openalex.org/W1989757000","https://openalex.org/W2020971112","https://openalex.org/W2041520818","https://openalex.org/W2047515252","https://openalex.org/W2059860225","https://openalex.org/W2074479043","https://openalex.org/W2078951884","https://openalex.org/W2111647600","https://openalex.org/W2143572124","https://openalex.org/W2229484904","https://openalex.org/W2475965084","https://openalex.org/W2488580825","https://openalex.org/W2546865567","https://openalex.org/W2548074572","https://openalex.org/W2754361766","https://openalex.org/W2766299269","https://openalex.org/W2766423068","https://openalex.org/W2770727026","https://openalex.org/W2775029618","https://openalex.org/W2793182997","https://openalex.org/W2894751911","https://openalex.org/W2900574966","https://openalex.org/W2900761142","https://openalex.org/W2900768929","https://openalex.org/W2975471729","https://openalex.org/W2979762193","https://openalex.org/W4206645272"],"related_works":["https://openalex.org/W2475864399","https://openalex.org/W1987795894","https://openalex.org/W2487684820","https://openalex.org/W2097365900","https://openalex.org/W2045608372","https://openalex.org/W2558510866","https://openalex.org/W2073587635","https://openalex.org/W2054285033","https://openalex.org/W1543312294","https://openalex.org/W3016953135"],"abstract_inverted_index":{"In":[0,29],"a":[1,11,16,24],"complex-valued":[2,12],"convolutional":[3,66],"neural":[4],"network,":[5],"its":[6,27],"elementary":[7],"unit":[8],"consists":[9],"of":[10,49],"convolution":[13],"layer":[14,22],"and":[15,62],"complex":[17,34],"pooling":[18,21,37],"layer.":[19],"The":[20],"has":[23],"variety":[25],"in":[26,52,65,76,87],"dynamics.":[28],"this":[30],"paper,":[31],"we":[32],"propose":[33],"absolute-value":[35],"max":[36],"to":[38],"extract":[39],"complex-amplitude":[40],"feature":[41],"patterns":[42],"meaningful":[43],"for":[44],"discovery":[45],"and/or":[46],"adaptive":[47],"classification":[48],"land":[50],"form":[51],"interferometric":[53],"synthetic":[54],"aperture":[55],"radar":[56],"(InSAR).":[57],"Experimental":[58],"examination":[59],"into":[60],"amplitude":[61],"phase":[63],"values":[64],"kernels":[67],"reveals":[68],"that":[69,81],"useful":[70],"land-shape":[71],"features":[72],"emerge":[73],"through":[74],"self-organization":[75],"high-magnitude":[77],"kernels,":[78],"which":[79],"suggests":[80],"the":[82],"proposed":[83],"dynamics":[84],"is":[85],"successful":[86],"extracting":[88],"important":[89],"features.":[90]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
