{"id":"https://openalex.org/W4401907552","doi":"https://doi.org/10.1109/jstars.2024.3450708","title":"DE-Net: A Dual-Encoder Network for Local and Long-Distance Context Information Extraction in Semantic Segmentation of Large-Scale Scene Point Clouds","display_name":"DE-Net: A Dual-Encoder Network for Local and Long-Distance Context Information Extraction in Semantic Segmentation of Large-Scale Scene Point Clouds","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401907552","doi":"https://doi.org/10.1109/jstars.2024.3450708"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3450708","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3450708","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and 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/10.1109/jstars.2024.3450708","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034748389","display_name":"Zhipeng He","orcid":"https://orcid.org/0000-0002-6226-754X"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhipeng He","raw_affiliation_strings":["Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374914","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0001-5207-7614"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083830304","display_name":"Shuai Yang","orcid":"https://orcid.org/0000-0002-8967-1040"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuai Yang","raw_affiliation_strings":["31682 Troop of People&#x0027;s Liberation Army, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"31682 Troop of People&#x0027;s Liberation Army, Lanzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034748389"],"corresponding_institution_ids":["https://openalex.org/I152031979"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.8132,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69066773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"17","issue":null,"first_page":"15914","last_page":"15926"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9764999747276306,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9764999747276306,"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/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.9491000175476074,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9273999929428101,"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/computer-science","display_name":"Computer science","score":0.7465062141418457},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6161286234855652},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6112589240074158},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6037687063217163},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5906177759170532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5823084712028503},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5263599157333374},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44508951902389526},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.43545791506767273},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.43262746930122375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43071526288986206},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.426543653011322},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4107345938682556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34288090467453003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10831019282341003},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.10509172081947327},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09435287117958069}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7465062141418457},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6161286234855652},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6112589240074158},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6037687063217163},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5906177759170532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5823084712028503},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5263599157333374},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44508951902389526},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.43545791506767273},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.43262746930122375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43071526288986206},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.426543653011322},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4107345938682556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34288090467453003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10831019282341003},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.10509172081947327},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09435287117958069},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3450708","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3450708","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:eab0f0f0405f4af8b64491655a3fba4e","is_oa":true,"landing_page_url":"https://doaj.org/article/eab0f0f0405f4af8b64491655a3fba4e","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15914-15926 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3450708","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3450708","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2719332038","display_name":null,"funder_award_id":"42001284","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5681725053","display_name":null,"funder_award_id":"42471418","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7919663891","display_name":null,"funder_award_id":"BK20200722","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W2460657278","https://openalex.org/W2555618208","https://openalex.org/W2560609797","https://openalex.org/W2609719703","https://openalex.org/W2614059183","https://openalex.org/W2751849977","https://openalex.org/W2810641456","https://openalex.org/W2897529137","https://openalex.org/W2962912109","https://openalex.org/W2963231572","https://openalex.org/W2963281829","https://openalex.org/W2963351448","https://openalex.org/W2979750740","https://openalex.org/W2986303149","https://openalex.org/W2990613095","https://openalex.org/W2991084087","https://openalex.org/W2991284067","https://openalex.org/W2998083489","https://openalex.org/W3011788244","https://openalex.org/W3109944402","https://openalex.org/W3111535274","https://openalex.org/W3120926185","https://openalex.org/W3137210930","https://openalex.org/W3138458448","https://openalex.org/W3153465022","https://openalex.org/W3155031595","https://openalex.org/W3162787701","https://openalex.org/W3168037706","https://openalex.org/W3171215128","https://openalex.org/W3177330511","https://openalex.org/W3206842099","https://openalex.org/W4214755140","https://openalex.org/W4220967590","https://openalex.org/W4225966217","https://openalex.org/W4226034591","https://openalex.org/W4293795076","https://openalex.org/W4297120488","https://openalex.org/W4306399487","https://openalex.org/W4312616477","https://openalex.org/W4313145913","https://openalex.org/W4319299959","https://openalex.org/W4366714559","https://openalex.org/W4372283849","https://openalex.org/W4381161922","https://openalex.org/W4382450230","https://openalex.org/W4382468867","https://openalex.org/W4386071758","https://openalex.org/W4386075910","https://openalex.org/W4386076242","https://openalex.org/W4386076377","https://openalex.org/W4386083131","https://openalex.org/W4386702620","https://openalex.org/W4391007469","https://openalex.org/W6739778489","https://openalex.org/W6753266022","https://openalex.org/W6765299845","https://openalex.org/W6796617330"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W4390516098","https://openalex.org/W2912321008","https://openalex.org/W2936725271","https://openalex.org/W1998607122","https://openalex.org/W2181948922","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,70,82],"of":[2,27,57,106,166,195],"large-scale":[3,30,72],"point":[4,31,98,102,128],"clouds":[5],"is":[6,65],"essential":[7],"for":[8,67,96,126],"applications":[9],"such":[10],"as":[11],"autonomous":[12],"driving":[13],"and":[14,34,92,113,122,131,146,169,198,203],"high-definition":[15],"mapping.":[16],"However,":[17],"this":[18,62,76],"task":[19],"remains":[20],"challenging":[21],"due":[22],"to":[23,99,134,162],"the":[24,35,55,90,164,171],"imbalanced":[25],"distribution":[26],"categories":[28],"in":[29,37,71],"cloud":[32],"data":[33],"similarity":[36],"local":[38,49,91,120],"geometric":[39,137],"structures.":[40],"Most":[41],"current":[42],"deep":[43],"learning\u2013based":[44],"methods":[45],"concentrate":[46],"on":[47,178,200],"designing":[48],"feature":[50],"extraction":[51],"modules":[52,111,116],"while":[53],"neglecting":[54],"significance":[56],"long-distance":[58,93,123],"contextual":[59,63,94,124],"information.":[60,151],"Nevertheless,":[61],"information":[64,95,125,142],"crucial":[66],"accurate":[68,101],"object":[69],"scenes.":[73],"To":[74],"address":[75,163],"limitation,":[77],"we":[78],"propose":[79],"a":[80,154],"dual-encoder":[81,110],"network":[83],"called":[84],"DE-Net.":[85],"DE-Net":[86,104,184],"effectively":[87,143],"learns":[88],"both":[89],"each":[97,127],"achieve":[100],"segmentation.":[103],"consists":[105],"two":[107],"main":[108],"components:":[109],"(DEMs)":[112],"gradient-aware":[114],"pooling":[115],"(GAPM).":[117],"DEMs":[118],"extract":[119],"geometry":[121],"using":[129,144],"positional":[130],"trigonometric":[132],"encoding":[133],"distinguish":[135],"complex":[136],"features.":[138],"GAPMs":[139],"aggregate":[140],"global":[141],"dual-distance":[145],"<italic":[147],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[148],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">xy</i>":[149],"gradient":[150],"In":[152],"addition,":[153],"prediction":[155,173],"jitter":[156],"module":[157],"was":[158],"introduced":[159],"during":[160],"training":[161],"issue":[165],"class":[167],"imbalance":[168],"improve":[170],"network's":[172],"results.":[174],"The":[175],"experimental":[176],"results":[177],"three":[179],"public":[180],"benchmarks":[181],"demonstrate":[182],"that":[183],"outperforms":[185],"existing":[186],"state-of-the-art":[187],"methods,":[188],"achieving":[189],"mean":[190],"intersection":[191],"over":[192],"union":[193],"scores":[194],"83.5%,":[196],"61.8%,":[197],"63.9%":[199],"Toronto-3D,":[201],"WHU-MLS,":[202],"S3DIS":[204],"datasets,":[205],"respectively.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2025-10-10T00:00:00"}
