{"id":"https://openalex.org/W4405119226","doi":"https://doi.org/10.3390/rs16234573","title":"LULC-SegNet: Enhancing Land Use and Land Cover Semantic Segmentation with Denoising Diffusion Feature Fusion","display_name":"LULC-SegNet: Enhancing Land Use and Land Cover Semantic Segmentation with Denoising Diffusion Feature Fusion","publication_year":2024,"publication_date":"2024-12-06","ids":{"openalex":"https://openalex.org/W4405119226","doi":"https://doi.org/10.3390/rs16234573"},"language":"en","primary_location":{"id":"doi:10.3390/rs16234573","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16234573","pdf_url":null,"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://doi.org/10.3390/rs16234573","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021485937","display_name":"Zongwen Shi","orcid":"https://orcid.org/0009-0006-3292-1738"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]},{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongwen Shi","raw_affiliation_strings":["School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China","School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China","institution_ids":["https://openalex.org/I119203015"]},{"raw_affiliation_string":"School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078842042","display_name":"Junfu Fan","orcid":"https://orcid.org/0000-0001-8987-7930"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junfu Fan","raw_affiliation_strings":["School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China","State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China","institution_ids":["https://openalex.org/I119203015"]},{"raw_affiliation_string":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101916960","display_name":"Y. Du","orcid":"https://orcid.org/0009-0000-5625-266X"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Du","raw_affiliation_strings":["School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059415772","display_name":"Yuke Zhou","orcid":"https://orcid.org/0000-0002-2559-0241"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuke Zhou","raw_affiliation_strings":["State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100388349","display_name":"Yi Zhang","orcid":"https://orcid.org/0009-0000-8623-0867"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["College of Land Resources and Surveying Engineering, Shandong Agriculture and Engineering University, Zibo 255300, China","School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Resources and Surveying Engineering, Shandong Agriculture and Engineering University, Zibo 255300, China","institution_ids":["https://openalex.org/I74485261"]},{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078842042"],"corresponding_institution_ids":["https://openalex.org/I119203015","https://openalex.org/I19820366","https://openalex.org/I4210160793"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.7511,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.94051714,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"16","issue":"23","first_page":"4573","last_page":"4573"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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":0.9994000196456909,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9940999746322632,"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/computer-science","display_name":"Computer science","score":0.7526664733886719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6663191318511963},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6558640003204346},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6137462854385376},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5539975762367249},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48690950870513916},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4532346725463867},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.4358799457550049},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3440694808959961},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.18250393867492676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7526664733886719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6663191318511963},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6558640003204346},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6137462854385376},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5539975762367249},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48690950870513916},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4532346725463867},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.4358799457550049},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3440694808959961},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.18250393867492676},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16234573","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16234573","pdf_url":null,"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:f3b280e66a1b49d49dcbec626e5c2513","is_oa":true,"landing_page_url":"https://doaj.org/article/f3b280e66a1b49d49dcbec626e5c2513","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 23, p 4573 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16234573","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16234573","pdf_url":null,"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":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G2023715943","display_name":null,"funder_award_id":"2021XJKK0303","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5138281608","display_name":null,"funder_award_id":"42171413","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7472079403","display_name":null,"funder_award_id":"42171413","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W2005156666","https://openalex.org/W2036547445","https://openalex.org/W2071949631","https://openalex.org/W2107878631","https://openalex.org/W2163605009","https://openalex.org/W2734349601","https://openalex.org/W2778764040","https://openalex.org/W2787091153","https://openalex.org/W2791392402","https://openalex.org/W2803187616","https://openalex.org/W2803946774","https://openalex.org/W2884436604","https://openalex.org/W2899315938","https://openalex.org/W2922509574","https://openalex.org/W2948978827","https://openalex.org/W2955058313","https://openalex.org/W2962914239","https://openalex.org/W2963351448","https://openalex.org/W2963420686","https://openalex.org/W2963881378","https://openalex.org/W2964082390","https://openalex.org/W2964184826","https://openalex.org/W3000017194","https://openalex.org/W3038091703","https://openalex.org/W3093142463","https://openalex.org/W3102710196","https://openalex.org/W3112139896","https://openalex.org/W3155072588","https://openalex.org/W3160412534","https://openalex.org/W3171474958","https://openalex.org/W3174176914","https://openalex.org/W3209745495","https://openalex.org/W3211490618","https://openalex.org/W3212516020","https://openalex.org/W4206491862","https://openalex.org/W4225014337","https://openalex.org/W4225078954","https://openalex.org/W4225832791","https://openalex.org/W4226014430","https://openalex.org/W4284888598","https://openalex.org/W4292794000","https://openalex.org/W4295532986","https://openalex.org/W4296544717","https://openalex.org/W4301802631","https://openalex.org/W4304688912","https://openalex.org/W4307261353","https://openalex.org/W4308568340","https://openalex.org/W4313564437","https://openalex.org/W4317556935","https://openalex.org/W4320491860","https://openalex.org/W4321033836","https://openalex.org/W4378716339","https://openalex.org/W4382135374","https://openalex.org/W4387790096","https://openalex.org/W4401565952","https://openalex.org/W4404132800","https://openalex.org/W6779586474","https://openalex.org/W6779823529","https://openalex.org/W6794269193","https://openalex.org/W6797399245","https://openalex.org/W6842806116","https://openalex.org/W6850092284","https://openalex.org/W6871623588"],"related_works":["https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W2318112981","https://openalex.org/W4210874298"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1,119],"networks":[2],"often":[3],"encounter":[4],"information":[5,16],"bottlenecks":[6],"when":[7],"extracting":[8],"land":[9,35,38,243,246],"object":[10],"features,":[11],"resulting":[12],"in":[13,23,118,171,191,200,216],"critical":[14,251],"geometric":[15],"loss,":[17],"which":[18,41],"impedes":[19],"semantic":[20,31,104,166,180,239],"segmentation":[21,32,90,141,181,240],"capabilities":[22],"complex":[24,227],"geospatial":[25],"backgrounds.":[26],"We":[27],"developed":[28],"LULC-SegNet,":[29],"a":[30],"network":[33,52,107,121,135,185],"for":[34,242],"use":[36,244],"and":[37,62,65,97,123,148,198,245,249],"cover":[39,247],"(LULC),":[40],"integrates":[42],"features":[43,86,129],"from":[44],"the":[45,54,57,63,68,73,77,88,109,124,127,131,137,140,144,153,161,164,184,192,201,218,226,235],"denoising":[46],"diffusion":[47],"probabilistic":[48],"model":[49],"(DDPM).":[50],"This":[51],"enhances":[53],"clarity":[55],"of":[56,67,76,112,126,139,143,189,213,230,237],"edge":[58],"segmentation,":[59],"detail":[60],"resolution,":[61],"visualization":[64],"accuracy":[66,138],"contours":[69],"by":[70],"delving":[71],"into":[72,87],"spatial":[74,98,113],"details":[75,114],"remote":[78,231],"sensing":[79,232],"images.":[80],"The":[81,106,168,207],"LULC-SegNet":[82,162,169,208],"incorporates":[83],"DDPM":[84,103,128],"decoder":[85],"LULC":[89,157,165],"task,":[91],"utilizing":[92],"machine":[93],"learning":[94],"clustering":[95],"algorithms":[96],"attention":[99],"to":[100,177,225],"extract":[101],"continuous":[102],"features.":[105,146],"addresses":[108],"potential":[110],"loss":[111],"during":[115],"feature":[116,133],"extraction":[117,134],"neural":[120],"(CNN),":[122],"integration":[125],"with":[130],"CNN":[132],"improves":[136],"boundaries":[142],"geographical":[145],"Ablation":[147],"comparison":[149],"experiments":[150],"conducted":[151],"on":[152],"Circum-Tarim":[154],"Basin":[155],"Region":[156],"Dataset":[158],"demonstrate":[159],"that":[160],"improved":[163],"segmentation.":[167],"excels":[170],"multiple":[172],"key":[173],"performance":[174,236],"indicators":[175],"compared":[176],"existing":[178],"advanced":[179],"methods.":[182],"Specifically,":[183],"achieved":[186],"remarkable":[187],"scores":[188],"80.25%":[190],"mean":[193],"intersection":[194],"over":[195],"union":[196],"(MIOU)":[197],"93.92%":[199],"F1":[202],"score,":[203],"surpassing":[204],"current":[205],"technologies.":[206],"demonstrated":[209],"an":[210],"IOU":[211],"score":[212],"73.67%,":[214],"particularly":[215],"segmenting":[217],"small-sample":[219],"river":[220],"class.":[221],"Our":[222],"method":[223],"adapts":[224],"geophysical":[228],"characteristics":[229],"datasets,":[233],"enhancing":[234],"automatic":[238],"tasks":[241],"changes":[248],"making":[250],"advancements.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}