{"id":"https://openalex.org/W4312282219","doi":"https://doi.org/10.1109/lgrs.2022.3227392","title":"Remote-Sensing Image Segmentation Based on Implicit 3-D Scene Representation","display_name":"Remote-Sensing Image Segmentation Based on Implicit 3-D Scene Representation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312282219","doi":"https://doi.org/10.1109/lgrs.2022.3227392"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3227392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3227392","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/A5081214225","display_name":"Zipeng Qi","orcid":"https://orcid.org/0000-0002-8571-6942"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zipeng Qi","raw_affiliation_strings":["Image Processing Center, School of Astronautics, the Beijing Key Laboratory of Digital MediaState Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","School of Astronautics, Image Processing Center, Beihang University, Beijing, China","Shanghai Artificial Intelligence Laboratory, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Center, School of Astronautics, the Beijing Key Laboratory of Digital MediaState Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Astronautics, Image Processing Center, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088611151","display_name":"Zhengxia Zou","orcid":"https://orcid.org/0000-0003-1774-552X"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengxia Zou","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory, Shanghai, China","Department of Guidance, Navigation and Control, School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1774-552X","affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]},{"raw_affiliation_string":"Department of Guidance, Navigation and Control, School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353576","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-6418-3761"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":["Image Processing Center, School of Astronautics, the Beijing Key Laboratory of Digital MediaState Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","School of Astronautics, Image Processing Center, Beihang University, Beijing, China","Shanghai Artificial Intelligence Laboratory, China"],"raw_orcid":"https://orcid.org/0000-0002-6418-3761","affiliations":[{"raw_affiliation_string":"Image Processing Center, School of Astronautics, the Beijing Key Laboratory of Digital MediaState Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Astronautics, Image Processing Center, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058849690","display_name":"Zhenwei Shi","orcid":"https://orcid.org/0000-0002-4772-3172"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenwei Shi","raw_affiliation_strings":["Image Processing Center, School of Astronautics, the Beijing Key Laboratory of Digital MediaState Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","School of Astronautics, Image Processing Center, Beihang University, Beijing, China","Shanghai Artificial Intelligence Laboratory, China"],"raw_orcid":"https://orcid.org/0000-0002-4772-3172","affiliations":[{"raw_affiliation_string":"Image Processing Center, School of Astronautics, the Beijing Key Laboratory of Digital MediaState Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Astronautics, Image Processing Center, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7881,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.83523697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9977999925613403,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9973000288009644,"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":0.8640918731689453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.789495587348938},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.753257155418396},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6255015134811401},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.531220555305481},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5215559005737305},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5200930833816528},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46970245242118835},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.4691057801246643},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.43321582674980164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4287014305591583},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42756712436676025},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4193028509616852},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41604042053222656},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3663814067840576},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.13133758306503296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8640918731689453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.789495587348938},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.753257155418396},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6255015134811401},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.531220555305481},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5215559005737305},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5200930833816528},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46970245242118835},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.4691057801246643},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.43321582674980164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4287014305591583},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42756712436676025},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4193028509616852},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41604042053222656},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3663814067840576},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.13133758306503296},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3227392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3227392","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":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G8320858330","display_name":null,"funder_award_id":"62125102","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},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2412782625","https://openalex.org/W2886397424","https://openalex.org/W2902078856","https://openalex.org/W2911305027","https://openalex.org/W2955058313","https://openalex.org/W2963727135","https://openalex.org/W2966450079","https://openalex.org/W2989871747","https://openalex.org/W3007268491","https://openalex.org/W3011515952","https://openalex.org/W3047725879","https://openalex.org/W3081260473","https://openalex.org/W3092948912","https://openalex.org/W3109585842","https://openalex.org/W3172610252","https://openalex.org/W3195875706","https://openalex.org/W3210613940","https://openalex.org/W4295719664","https://openalex.org/W4320169939","https://openalex.org/W6639824700","https://openalex.org/W6745935785","https://openalex.org/W6774631009","https://openalex.org/W6784492152","https://openalex.org/W6850224944"],"related_works":["https://openalex.org/W2964954556","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4205800335","https://openalex.org/W2055202857","https://openalex.org/W2022929107","https://openalex.org/W80586315"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,17,95],"image":[2,96],"segmentation,":[3],"as":[4,219],"a":[5,41,74,90,117,132,141,160,175,220],"challenging":[6],"but":[7],"fundamental":[8],"task,":[9],"has":[10],"drawn":[11],"increasing":[12],"attention":[13],"in":[14,21],"the":[15,32,50,63,67,122,127,146,151,213],"remote":[16,94],"field.":[18,144],"Recent":[19],"advances":[20],"deep":[22,34,199],"learning":[23],"have":[24],"greatly":[25],"boosted":[26],"research":[27],"on":[28,40,62,99,187],"this":[29,58,86],"task.":[30],"However,":[31],"existing":[33],"learning-based":[35],"segmentation":[36,97,107,111,228],"methods":[37,203],"heavily":[38],"rely":[39],"large":[42],"amount":[43],"of":[44,70,77,131],"pixel-wise":[45],"labeled":[46],"training":[47,119],"data,":[48],"and":[49,55,73,135,158,190,204],"labeling":[51],"process":[52],"is":[53],"time-consuming":[54],"labor-intensive.":[56],"In":[57,121,145],"paper,":[59],"we":[60,88,125,149],"focus":[61],"scenario":[64],"that":[65,194,212,225],"leverages":[66],"3D":[68,101,133,166],"structure":[69],"multi-view":[71,138],"images":[72,139],"limited":[75,110],"number":[76],"annotations":[78],"to":[79,163,178,183],"generate":[80],"accurate":[81],"novel":[82,91,221],"view":[83,206],"segmentation.":[84],"Under":[85],"scenario,":[87],"propose":[89,159],"method":[92,115,181,196,215],"for":[93],"based":[98],"implicit":[100,128],"scene":[102,134,152],"representation,":[103],"which":[104],"generates":[105],"arbitrary-view":[106],"output":[108],"from":[109],"annotations.":[112],"The":[113],"proposed":[114,214],"employs":[116],"two-stage":[118],"strategy.":[120],"first":[123],"stage,":[124,148],"optimize":[126],"neural":[129,142],"representations":[130],"encode":[136],"their":[137],"into":[140,155],"radiance":[143],"second":[147],"transform":[150],"color":[153],"attribute":[154],"semantic":[156],"labels":[157],"ray-convolution":[161],"network":[162,177],"aggregate":[164],"local":[165],"consistency":[167],"cues":[168],"across":[169],"different":[170],"locations.":[171],"We":[172,209],"also":[173,210],"design":[174],"color-radiance":[176],"help":[179],"our":[180,195],"generalize":[182],"unseen":[184],"views.":[185],"Experiments":[186],"both":[188],"synthetic":[189],"real-world":[191],"data":[192,222],"suggest":[193],"significantly":[197],"outperforms":[198],"convolutional":[200],"networks":[201],"(CNN)-based":[202],"other":[205],"synthesis-based":[207],"methods.":[208,229],"show":[211],"can":[216],"be":[217],"applied":[218],"augmentation":[223],"approach":[224],"benefits":[226],"CNN-based":[227]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
