{"id":"https://openalex.org/W4401947101","doi":"https://doi.org/10.3390/rs16173184","title":"Multi-View Feature Fusion and Rich Information Refinement Network for Semantic Segmentation of Remote Sensing Images","display_name":"Multi-View Feature Fusion and Rich Information Refinement Network for Semantic Segmentation of Remote Sensing Images","publication_year":2024,"publication_date":"2024-08-28","ids":{"openalex":"https://openalex.org/W4401947101","doi":"https://doi.org/10.3390/rs16173184"},"language":"en","primary_location":{"id":"doi:10.3390/rs16173184","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16173184","pdf_url":"https://www.mdpi.com/2072-4292/16/17/3184/pdf?version=1724858237","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/17/3184/pdf?version=1724858237","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111365355","display_name":"Jiang Liu","orcid":"https://orcid.org/0009-0002-9449-7988"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Liu","raw_affiliation_strings":["School of Computer Science and Technology, Xinjiang University, \u00dcr\u00fcmqi 830046, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xinjiang University, \u00dcr\u00fcmqi 830046, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002665794","display_name":"Shuli Cheng","orcid":"https://orcid.org/0000-0001-8363-8832"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuli Cheng","raw_affiliation_strings":["School of Computer Science and Technology, Xinjiang University, \u00dcr\u00fcmqi 830046, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xinjiang University, \u00dcr\u00fcmqi 830046, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030446620","display_name":"Anyu Du","orcid":"https://orcid.org/0000-0002-9744-9589"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Anyu Du","raw_affiliation_strings":["School of Computer Science and Technology, Xinjiang University, \u00dcr\u00fcmqi 830046, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xinjiang University, \u00dcr\u00fcmqi 830046, China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030446620"],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.5073,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64711776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"16","issue":"17","first_page":"3184","last_page":"3184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9988999962806702,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.8368558287620544},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6079050302505493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.594793975353241},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5464561581611633},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5313026905059814},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4928760528564453},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.4844489097595215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38795775175094604},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3584217131137848},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3245595693588257},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.18588772416114807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8368558287620544},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6079050302505493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.594793975353241},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5464561581611633},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5313026905059814},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4928760528564453},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.4844489097595215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38795775175094604},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3584217131137848},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3245595693588257},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.18588772416114807},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs16173184","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16173184","pdf_url":"https://www.mdpi.com/2072-4292/16/17/3184/pdf?version=1724858237","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c6ef4dfdd38840038adb9705909e332b","is_oa":true,"landing_page_url":"https://doaj.org/article/c6ef4dfdd38840038adb9705909e332b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 17, p 3184 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/16/17/3184/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs16173184","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs16173184","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16173184","pdf_url":"https://www.mdpi.com/2072-4292/16/17/3184/pdf?version=1724858237","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401947101.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2480078828","https://openalex.org/W2548287196","https://openalex.org/W2560023338","https://openalex.org/W2752782242","https://openalex.org/W2884585870","https://openalex.org/W2963393688","https://openalex.org/W2963727650","https://openalex.org/W2963859992","https://openalex.org/W2985754018","https://openalex.org/W3034502973","https://openalex.org/W3107591966","https://openalex.org/W3110908156","https://openalex.org/W3138516171","https://openalex.org/W3161825146","https://openalex.org/W3177052299","https://openalex.org/W3183174367","https://openalex.org/W3200075728","https://openalex.org/W4214532801","https://openalex.org/W4214588794","https://openalex.org/W4283450732","https://openalex.org/W4313827664","https://openalex.org/W4321021501","https://openalex.org/W4323314461","https://openalex.org/W4367627286","https://openalex.org/W4372259934","https://openalex.org/W4372347372","https://openalex.org/W4376607811","https://openalex.org/W4381620643","https://openalex.org/W4382119132","https://openalex.org/W4385574797","https://openalex.org/W4386075524","https://openalex.org/W4386172486","https://openalex.org/W4386496302","https://openalex.org/W4386634500","https://openalex.org/W4388320282","https://openalex.org/W4391877825","https://openalex.org/W4391878073","https://openalex.org/W4394805978","https://openalex.org/W6795755827","https://openalex.org/W6798387234","https://openalex.org/W6850376301","https://openalex.org/W6853494021","https://openalex.org/W6855611087","https://openalex.org/W6858379513","https://openalex.org/W6861557523"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W2810679507"],"abstract_inverted_index":{"Semantic":[0,171],"segmentation":[1,156],"is":[2,48,80],"currently":[3],"a":[4,64,122],"hot":[5],"topic":[6],"in":[7,16],"remote":[8],"sensing":[9],"image":[10],"processing.":[11],"There":[12],"are":[13],"extensive":[14,188],"applications":[15],"land":[17],"planning":[18],"and":[19,52,72,99,118,137,168,183,194],"surveying.":[20],"Many":[21],"current":[22],"studies":[23],"combine":[24],"Convolutional":[25],"Neural":[26],"Networks":[27],"(CNNs),":[28],"which":[29,35,154],"extract":[30],"local":[31],"information,":[32,38,94],"with":[33,82,191],"Transformers,":[34],"capture":[36],"global":[37],"to":[39,89,140],"obtain":[40,141],"richer":[41],"information.":[42,101,144],"However,":[43],"the":[44,68,83,126,148,160,163,169,180],"fused":[45],"feature":[46],"information":[47,120],"not":[49],"sufficiently":[50],"enriched":[51],"it":[53],"often":[54],"lacks":[55],"detailed":[56],"refinement.":[57],"To":[58],"address":[59],"this":[60],"issue,":[61],"we":[62,104,146],"propose":[63],"novel":[65],"method":[66],"called":[67],"Multi-View":[69,84],"Feature":[70,85,150],"Fusion":[71,86],"Rich":[73],"Information":[74,165,172],"Refinement":[75,151],"Network":[76],"(MFRNet).":[77],"Our":[78],"model":[79,178],"equipped":[81],"Block":[87],"(MAFF)":[88],"merge":[90],"various":[91],"types":[92],"of":[93,162],"including":[95],"local,":[96,116],"non-local,":[97,117],"channel,":[98],"positional":[100,119],"Within":[102],"MAFF,":[103],"introduce":[105,147],"two":[106],"innovative":[107],"methods.":[108],"The":[109],"Sliding":[110],"Heterogeneous":[111],"Multi-Head":[112],"Attention":[113,131],"(SHMA)":[114],"extracts":[115],"using":[121],"sliding":[123],"window,":[124],"while":[125],"Multi-Scale":[127],"Hierarchical":[128],"Compressed":[129],"Channel":[130],"(MSCA)":[132],"leverages":[133],"bar-shaped":[134],"pooling":[135],"kernels":[136],"stepwise":[138],"compression":[139],"reliable":[142],"channel":[143],"Additionally,":[145],"Efficient":[149],"Module":[152],"(EFRM),":[153],"enhances":[155],"accuracy":[157],"by":[158],"interacting":[159],"results":[161],"Long-Range":[164],"Perception":[166,173],"Branch":[167],"Local":[170],"Branch.":[174],"We":[175,186],"evaluate":[176],"our":[177],"on":[179],"ISPRS":[181],"Vaihingen":[182],"Potsdam":[184],"datasets.":[185],"conducted":[187],"comparison":[189],"experiments":[190],"state-of-the-art":[192],"models":[193],"verified":[195],"that":[196],"MFRNet":[197],"outperforms":[198],"other":[199],"models.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
