{"id":"https://openalex.org/W3131779266","doi":"https://doi.org/10.1109/igarss39084.2020.9323951","title":"Complex-Valued Spatial-Scattering Separated Attention Network for Polsar Image Classification","display_name":"Complex-Valued Spatial-Scattering Separated Attention Network for Polsar Image Classification","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3131779266","doi":"https://doi.org/10.1109/igarss39084.2020.9323951","mag":"3131779266"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","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/A5001252612","display_name":"Zhaohao Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaohao Fan","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044758681","display_name":"Zexuan Ji","orcid":"https://orcid.org/0000-0003-1665-0270"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexuan Ji","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040037442","display_name":"Peng Fu","orcid":"https://orcid.org/0000-0001-6089-5932"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Fu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100661392","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0002-8585-5635"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061132796","display_name":"Xiaobo Shen","orcid":"https://orcid.org/0000-0001-8494-4532"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Shen","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034434932","display_name":"Quansen Sun","orcid":"https://orcid.org/0000-0001-6019-1986"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quansen Sun","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5001252612"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":2.4161,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89530611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1723","last_page":"1726"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6962724328041077},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6694468855857849},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6377755403518677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6366384029388428},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5729876160621643},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46271464228630066},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.42249301075935364},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42192649841308594},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.32411694526672363},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32058197259902954},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.20019689202308655},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09345021843910217}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6962724328041077},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6694468855857849},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6377755403518677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6366384029388428},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5729876160621643},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46271464228630066},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.42249301075935364},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42192649841308594},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32411694526672363},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32058197259902954},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20019689202308655},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09345021843910217}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G8476992369","display_name":null,"funder_award_id":"61673220,61801222,61802188","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2370317051","https://openalex.org/W2737223853","https://openalex.org/W2754361766","https://openalex.org/W2793189836","https://openalex.org/W2819744022","https://openalex.org/W2900918919","https://openalex.org/W2979476850","https://openalex.org/W2989067579","https://openalex.org/W6752724140","https://openalex.org/W6756844951"],"related_works":["https://openalex.org/W2964954556","https://openalex.org/W3019910406","https://openalex.org/W2952813363","https://openalex.org/W2911497689","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W2972076240","https://openalex.org/W3167930666"],"abstract_inverted_index":{"Fully":[0],"polarimetric":[1],"synthetic":[2],"aperture":[3],"radar":[4],"(PolSAR)":[5],"images":[6],"are":[7],"generally":[8],"expressed":[9],"as":[10,101],"the":[11,16,26,40,80,89,94,98,125,130,147,155],"complex-valued":[12,55],"(CV)":[13],"matrix,":[14],"whereas":[15],"convolutional":[17],"neural":[18],"networks":[19],"(CNNs)":[20],"have":[21],"been":[22],"successfully":[23],"utilized":[24],"for":[25,65],"PolSAR":[27,66,90],"image":[28,67],"classification.":[29,68],"However,":[30],"most":[31],"2D":[32,106],"or":[33,43],"3D":[34,99],"CNNs":[35],"suffer":[36],"from":[37],"insufficient":[38],"exploring":[39],"CV":[41],"features":[42,81],"computationally":[44],"expensive.":[45],"To":[46],"address":[47],"these":[48],"issues,":[49],"this":[50],"paper":[51],"presents":[52],"an":[53],"efficient":[54],"spatial-scattering":[56],"separated":[57],"attention":[58,119,140],"network":[59,131],"(CVS":[60],"<sup":[61,71],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[62,72],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[63,73],"ANet)":[64],"The":[69,142],"CVS":[70],"ANet":[74],"utilizes":[75],"CV-3D":[76],"convolutions":[77],"to":[78,123,139],"explore":[79],"in":[82],"both":[83],"spatial":[84,107],"and":[85,92,117],"scattering":[86,112],"dimensions":[87],"of":[88,105,129],"images,":[91],"reduces":[93],"parameters":[95],"by":[96,110,132],"factorizing":[97],"convolution":[100,108],"a":[102,115],"sequential":[103],"process":[104],"followed":[109],"1D":[111],"convolution.":[113],"Moreover,":[114],"squeeze":[116],"fusion":[118],"unit":[120],"is":[121],"used":[122],"enhance":[124],"learning":[126],"interpretation":[127],"ability":[128],"modeling":[133],"correlations":[134],"between":[135],"channels":[136],"with":[137],"respect":[138],"probability.":[141],"experimental":[143],"results":[144,153],"demonstrate":[145],"that":[146],"proposed":[148],"method":[149],"can":[150],"obtain":[151],"superior":[152],"over":[154],"state-of-the-art":[156],"techniques.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-01-10T23:39:48.068659","created_date":"2025-10-10T00:00:00"}