{"id":"https://openalex.org/W2900677911","doi":"https://doi.org/10.1109/igarss.2018.8518517","title":"Exploring Convolutional Lstm for Polsar Image Classification","display_name":"Exploring Convolutional Lstm for Polsar Image Classification","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2900677911","doi":"https://doi.org/10.1109/igarss.2018.8518517","mag":"2900677911"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8518517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 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/A5025384190","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-7383-4167"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Wang","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058602237","display_name":"Xin Xu","orcid":"https://orcid.org/0000-0001-9211-6606"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Xu","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030996045","display_name":"Hao Dong","orcid":"https://orcid.org/0000-0001-6638-4420"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Dong","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030027991","display_name":"Rong Gui","orcid":"https://orcid.org/0000-0001-8470-3405"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Gui","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026257114","display_name":"Rui Yang","orcid":"https://orcid.org/0000-0002-1783-9051"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yang","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081961287","display_name":"Fangling Pu","orcid":"https://orcid.org/0000-0002-1490-0347"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangling Pu","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5025384190"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":4.8794,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.94578385,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"8452","last_page":"8455"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9984999895095825,"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/T13177","display_name":"Geological and Geophysical Studies","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.766498327255249},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.690308153629303},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6571465730667114},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5552760362625122},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5410420298576355},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.49651962518692017},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4463561475276947},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4226852357387543},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.4186776578426361},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4146175980567932},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4131316840648651},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3522287905216217},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32347404956817627},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29180142283439636},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16211700439453125},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12636500597000122},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0946168601512909},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.05929213762283325}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.766498327255249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690308153629303},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6571465730667114},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5552760362625122},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5410420298576355},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.49651962518692017},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4463561475276947},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4226852357387543},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.4186776578426361},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4146175980567932},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4131316840648651},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3522287905216217},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32347404956817627},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29180142283439636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16211700439453125},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12636500597000122},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0946168601512909},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.05929213762283325},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8518517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1986030219","https://openalex.org/W2064675550","https://openalex.org/W2076063813","https://openalex.org/W2100495367","https://openalex.org/W2112796928","https://openalex.org/W2130942839","https://openalex.org/W2137917662","https://openalex.org/W2586898334","https://openalex.org/W2607714468","https://openalex.org/W2680780302","https://openalex.org/W2731420170","https://openalex.org/W2754361766","https://openalex.org/W2963246338","https://openalex.org/W4285719527","https://openalex.org/W6628877408","https://openalex.org/W6679436768","https://openalex.org/W6719244831","https://openalex.org/W6739542558"],"related_works":["https://openalex.org/W2469797871","https://openalex.org/W2545123933","https://openalex.org/W2585813813","https://openalex.org/W3110962985","https://openalex.org/W2042726296","https://openalex.org/W2081203575","https://openalex.org/W3016428515","https://openalex.org/W2096748030","https://openalex.org/W2160730947","https://openalex.org/W2747205507"],"abstract_inverted_index":{"Polarimetric":[0],"synthetic":[1],"aperture":[2],"radar":[3],"(PolSAR)":[4],"image":[5,16,28,79],"classification":[6,138],"is":[7,39,114,125],"one":[8],"of":[9,36,44,70,121,140],"the":[10,33,42,45,48,119,128,137,145],"most":[11],"important":[12],"applications":[13],"in":[14,50,57,74,96],"Pol-SAR":[15,132],"processing.":[17],"More":[18],"and":[19,110],"more":[20],"deep":[21,58,101],"learning":[22,102],"methods":[23],"are":[24,53,88,142],"applied":[25],"to":[26,41,90,130],"PolSAR":[27,78],"classification.":[29,80,117],"As":[30],"we":[31],"know,":[32],"polarimetric":[34],"response":[35],"a":[37,62,68,100],"target":[38],"related":[40],"orientation":[43,85],"target,":[46],"but":[47],"features":[49],"rotation":[51,75,97],"domain":[52,76],"not":[54],"fully":[55,111],"used":[56,89],"learning.":[59],"We":[60],"use":[61],"convolutional":[63],"LSTM":[64],"(ConvLSTM)":[65],"along":[66],"with":[67,106],"sequence":[69,120],"polarization":[71,84,93,122],"coherent":[72,94,123],"matrices":[73,95,124],"for":[77,116],"First,":[81],"nine":[82,92],"different":[83],"angles":[86],"(POA)":[87],"generate":[91],"domain.":[98],"Second,":[99],"model":[103],"that":[104,136],"stacked":[105],"multiple":[107],"ConvLSTM":[108,129,141],"layers":[109,113],"connected":[112],"proposed":[115],"Finally,":[118],"fed":[126],"into":[127],"classify":[131],"images.":[133],"Experiments":[134],"show":[135],"results":[139],"better":[143],"than":[144],"LeNet-5.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
