{"id":"https://openalex.org/W4229364371","doi":"https://doi.org/10.3390/rs14092252","title":"SCE-Net: Self- and Cross-Enhancement Network for Single-View Height Estimation and Semantic Segmentation","display_name":"SCE-Net: Self- and Cross-Enhancement Network for Single-View Height Estimation and Semantic Segmentation","publication_year":2022,"publication_date":"2022-05-07","ids":{"openalex":"https://openalex.org/W4229364371","doi":"https://doi.org/10.3390/rs14092252"},"language":"en","primary_location":{"id":"doi:10.3390/rs14092252","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14092252","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/rs14092252","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041376155","display_name":"Siyuan Xing","orcid":"https://orcid.org/0000-0003-3874-6521"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Xing","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113890641","display_name":"Qiulei Dong","orcid":"https://orcid.org/0000-0003-4015-1615"},"institutions":[{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiulei Dong","raw_affiliation_strings":["Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing 100190, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109151740","display_name":"Zhanyi Hu","orcid":"https://orcid.org/0000-0001-7067-4498"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanyi Hu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113890641"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210097554","https://openalex.org/I4210112150","https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.5154,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.90713753,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"14","issue":"9","first_page":"2252","last_page":"2252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9970999956130981,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9970999956130981,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9961000084877014,"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":0.9925000071525574,"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":0.793660044670105},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.7118340730667114},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6986560225486755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6264929175376892},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6013217568397522},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.5793583393096924},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5426005721092224},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4995608329772949},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4529425799846649},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.43809768557548523},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4185643792152405},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.16535380482673645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.793660044670105},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7118340730667114},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6986560225486755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6264929175376892},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6013217568397522},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.5793583393096924},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5426005721092224},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4995608329772949},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4529425799846649},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.43809768557548523},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4185643792152405},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.16535380482673645},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14092252","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14092252","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:9e5801fd02f6409390de70b89c2952ff","is_oa":true,"landing_page_url":"https://doaj.org/article/9e5801fd02f6409390de70b89c2952ff","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 14, Iss 9, p 2252 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/9/2252/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14092252","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; Volume 14; Issue 9; Pages: 2252","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14092252","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14092252","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1745334888","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1905829557","https://openalex.org/W1975517671","https://openalex.org/W2003916839","https://openalex.org/W2118393783","https://openalex.org/W2314785379","https://openalex.org/W2398127311","https://openalex.org/W2409744181","https://openalex.org/W2412782625","https://openalex.org/W2494341560","https://openalex.org/W2508741746","https://openalex.org/W2543281563","https://openalex.org/W2563705555","https://openalex.org/W2771852828","https://openalex.org/W2790713095","https://openalex.org/W2793461576","https://openalex.org/W2798441115","https://openalex.org/W2799213142","https://openalex.org/W2799217622","https://openalex.org/W2800307355","https://openalex.org/W2814568980","https://openalex.org/W2886742956","https://openalex.org/W2891437844","https://openalex.org/W2913897408","https://openalex.org/W2944774710","https://openalex.org/W2963014573","https://openalex.org/W2963294354","https://openalex.org/W2963378109","https://openalex.org/W2963488291","https://openalex.org/W2963659230","https://openalex.org/W2963727650","https://openalex.org/W2963881378","https://openalex.org/W2963995737","https://openalex.org/W2964309882","https://openalex.org/W2965383240","https://openalex.org/W2966450079","https://openalex.org/W2969111887","https://openalex.org/W2975918238","https://openalex.org/W2984366536","https://openalex.org/W2984507463","https://openalex.org/W2988222163","https://openalex.org/W3003394660","https://openalex.org/W3011847848","https://openalex.org/W3018169007","https://openalex.org/W3033987687","https://openalex.org/W3035003562","https://openalex.org/W3037455594","https://openalex.org/W3081162165","https://openalex.org/W3085433944","https://openalex.org/W3105127913","https://openalex.org/W3108810292","https://openalex.org/W3110797472","https://openalex.org/W3118695918","https://openalex.org/W3129951347","https://openalex.org/W3150599523","https://openalex.org/W3160205797","https://openalex.org/W3176125085","https://openalex.org/W3176584092","https://openalex.org/W3194533273","https://openalex.org/W3200588261","https://openalex.org/W3211298390","https://openalex.org/W6779751291","https://openalex.org/W6790672600","https://openalex.org/W6801488404"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W3167388719","https://openalex.org/W4311555960","https://openalex.org/W4390871823","https://openalex.org/W4391423808"],"abstract_inverted_index":{"Single-view":[0],"height":[1,26,75,99,119,200],"estimation":[2,100,201],"and":[3,13,21,28,35,51,73,77,90,101,117,121,142,169,194,202],"semantic":[4,29,78,102,122,203],"segmentation":[5,103],"have":[6,39],"received":[7],"increasing":[8],"attention":[9,127],"in":[10,18,66,198],"recent":[11,37,67],"years":[12],"play":[14],"an":[15,82,126],"important":[16],"role":[17],"the":[19,53,57,166,170,175,178,186,191],"photogrammetry":[20],"remote":[22],"sensing":[23],"communities.":[24],"The":[25,181],"information":[27,30],"of":[31,48,56,177],"images":[32],"are":[33,148,163],"correlated,":[34],"some":[36],"works":[38],"shown":[40],"that":[41,185],"multi-task":[42],"learning":[43,154],"methods":[44,193],"can":[45],"achieve":[46,156,195],"complementation":[47],"task-related":[49],"features":[50,76,79,120,123],"improve":[52],"prediction":[54],"results":[55,183],"multiple":[58],"tasks.":[59,134],"Although":[60],"much":[61],"progress":[62],"has":[63],"been":[64],"made":[65],"works,":[68],"how":[69],"to":[70,96,114,155,173],"effectively":[71,115],"extract":[72],"fuse":[74,118],"is":[80,94,112],"still":[81],"open":[83],"issue.":[84],"In":[85,135],"this":[86],"paper,":[87],"a":[88,137,143],"self-":[89],"cross-enhancement":[91],"network":[92],"(SCE-Net)":[93],"proposed":[95,179,187],"jointly":[97],"perform":[98],"on":[104,125,151,165],"single":[105],"aerial":[106],"images.":[107],"A":[108],"feature":[109,130,139,145,158],"separation\u2013fusion":[110],"module":[111],"constructed":[113],"separate":[116],"based":[124,150],"mechanism":[128],"for":[129],"representation":[131,159],"enhancement":[132],"across":[133],"addition,":[136],"height-guided":[138],"distance":[140,146],"loss":[141,147],"semantic-guided":[144],"designed":[149],"deep":[152],"metric":[153],"task-aware":[157],"enhancement.":[160],"Extensive":[161],"experiments":[162],"conducted":[164],"Vaihingen":[167],"dataset":[168,172],"Potsdam":[171],"verify":[174],"effectiveness":[176],"method.":[180],"experimental":[182],"demonstrate":[184],"SCE-Net":[188],"could":[189],"outperform":[190],"state-of-the-art":[192],"better":[196],"performance":[197],"both":[199],"segmentation.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-05-10T00:00:00"}