{"id":"https://openalex.org/W4221119612","doi":"https://doi.org/10.1109/lgrs.2022.3161578","title":"Multisource Remote Sensing Classification for Coastal Wetland Using Feature Intersecting Learning","display_name":"Multisource Remote Sensing Classification for Coastal Wetland Using Feature Intersecting Learning","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4221119612","doi":"https://doi.org/10.1109/lgrs.2022.3161578"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3161578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3161578","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5106406701","display_name":"Zhen Han","orcid":"https://orcid.org/0000-0002-7710-6079"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhen Han","raw_affiliation_strings":["Qingdao Marine Remote Sensing Information Technology Company Ltd, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Qingdao Marine Remote Sensing Information Technology Company Ltd, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033234889","display_name":"Yunhao Gao","orcid":"https://orcid.org/0000-0002-2896-6902"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhao Gao","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071351076","display_name":"Xiangyang Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121916","display_name":"Shandong Marine Resource and Environment Research Institute","ror":"https://ror.org/036m22d48","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210121916"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Jiang","raw_affiliation_strings":["Shandong Marine Resources and Environment Research Institute, Shandong Provincial Key Laboratory of Restoration for Marine Ecology, Yantai, China"],"affiliations":[{"raw_affiliation_string":"Shandong Marine Resources and Environment Research Institute, Shandong Provincial Key Laboratory of Restoration for Marine Ecology, Yantai, China","institution_ids":["https://openalex.org/I4210121916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049113308","display_name":"Jianbu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114556","display_name":"First Institute of Oceanography","ror":"https://ror.org/01y34t753","country_code":"CN","type":"facility","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210114556","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbu Wang","raw_affiliation_strings":["Laboratory of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China","institution_ids":["https://openalex.org/I4210114556","https://openalex.org/I211433327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100317994","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-7015-7335"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5106406701"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6515,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.85042735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.995199978351593,"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":0.995199978351593,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9915000200271606,"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"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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":0.742050051689148},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6601674556732178},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6290491819381714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6101114153862},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5864145755767822},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5344687104225159},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5228362679481506},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5151242613792419},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4868995249271393},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36687013506889343},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.128011554479599},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08577963709831238}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.742050051689148},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6601674556732178},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6290491819381714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6101114153862},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5864145755767822},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5344687104225159},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5228362679481506},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5151242613792419},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4868995249271393},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36687013506889343},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.128011554479599},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08577963709831238},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3161578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3161578","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G4417359500","display_name":null,"funder_award_id":"U1833203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4639895821","display_name":null,"funder_award_id":"61421001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G572899642","display_name":null,"funder_award_id":"JQ20021","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G7394983629","display_name":null,"funder_award_id":"61922013","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2152057649","https://openalex.org/W2344918563","https://openalex.org/W2547875792","https://openalex.org/W2548679149","https://openalex.org/W2614256707","https://openalex.org/W2752782242","https://openalex.org/W2765739551","https://openalex.org/W2776305546","https://openalex.org/W2922203804","https://openalex.org/W3004968762","https://openalex.org/W3046819794","https://openalex.org/W3083606623","https://openalex.org/W3093327960","https://openalex.org/W3103753223","https://openalex.org/W3105997607","https://openalex.org/W3106765303","https://openalex.org/W3204731106","https://openalex.org/W4205682476","https://openalex.org/W6729448088"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W4293226380","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W3022347918"],"abstract_inverted_index":{"Accurate":[0],"remote":[1,35],"sensing":[2,36],"monitoring":[3],"of":[4,9,79,126],"wetland":[5,31,132],"ground":[6],"objects":[7],"is":[8,28,60,72,87,95],"great":[10],"significance":[11],"for":[12,30],"ecological":[13],"protection.":[14],"In":[15,89],"this":[16],"letter,":[17],"a":[18],"convolutional":[19],"neural":[20],"network":[21],"based":[22],"on":[23,130],"feature":[24,41,46,64,85],"intersecting":[25],"learning":[26],"(FIL-CNN)":[27],"designed":[29,51],"classification":[32],"using":[33],"multisource":[34,105],"data.":[37],"The":[38,118],"multi-layer":[39],"shift":[40,78],"fusion":[42,71],"(MSFF)":[43],"and":[44,67,113,124],"attention":[45],"selection":[47],"(AFS)":[48],"modules":[49],"are":[50],"to":[52,62,97],"extract":[53],"the":[54,58,68,75,83,90,93,99,110,115,122,127,131],"complementary":[55],"merits.":[56],"Specifically,":[57],"MSFF":[59],"applied":[61],"each":[63],"extraction":[65],"unit,":[66],"asymmetric":[69],"information":[70],"achieved":[73],"through":[74],"spatial":[76],"position":[77],"grouped":[80],"features.":[81],"Thus,":[82],"diversified":[84],"representation":[86],"achieved.":[88],"prediction":[91],"stage,":[92],"AFS":[94],"executed":[96],"explore":[98],"channel":[100],"mutually":[101],"exclusive":[102],"relationship":[103],"between":[104],"features,":[106],"resulting":[107],"in":[108],"emphasizing":[109],"meaningful":[111],"features":[112],"eliminating":[114],"unnecessary":[116],"ones.":[117],"experimental":[119],"results":[120],"prove":[121],"effectiveness":[123],"generalization":[125],"proposed":[128],"FIL-CNN":[129],"datasets.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
