{"id":"https://openalex.org/W4318814448","doi":"https://doi.org/10.3390/rs15030801","title":"DRE-Net: A Dynamic Radius-Encoding Neural Network with an Incremental Training Strategy for Interactive Segmentation of Remote Sensing Images","display_name":"DRE-Net: A Dynamic Radius-Encoding Neural Network with an Incremental Training Strategy for Interactive Segmentation of Remote Sensing Images","publication_year":2023,"publication_date":"2023-01-31","ids":{"openalex":"https://openalex.org/W4318814448","doi":"https://doi.org/10.3390/rs15030801"},"language":"en","primary_location":{"id":"doi:10.3390/rs15030801","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15030801","pdf_url":"https://www.mdpi.com/2072-4292/15/3/801/pdf?version=1675159821","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/2072-4292/15/3/801/pdf?version=1675159821","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021434142","display_name":"Liangzhe Yang","orcid":"https://orcid.org/0000-0001-7894-3170"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangzhe Yang","raw_affiliation_strings":["Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062367314","display_name":"Wenjie Zi","orcid":"https://orcid.org/0009-0001-1974-4822"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Zi","raw_affiliation_strings":["Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353589","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-7880-3394"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Chen","raw_affiliation_strings":["Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012097021","display_name":"Shuang Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Peng","raw_affiliation_strings":["Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100353589"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.1069,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7890858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"15","issue":"3","first_page":"801","last_page":"801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9980999827384949,"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":0.8526818156242371},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7988158464431763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5916239023208618},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44834867119789124},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.436423122882843},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43012234568595886},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4179397225379944},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4100174009799957},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3505405783653259}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8526818156242371},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7988158464431763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5916239023208618},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44834867119789124},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.436423122882843},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43012234568595886},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4179397225379944},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4100174009799957},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3505405783653259}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15030801","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15030801","pdf_url":"https://www.mdpi.com/2072-4292/15/3/801/pdf?version=1675159821","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:ab67313f51444470b8ff32cd529bb4e3","is_oa":true,"landing_page_url":"https://doaj.org/article/ab67313f51444470b8ff32cd529bb4e3","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 15, Iss 3, p 801 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/3/801/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15030801","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/rs15030801","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15030801","pdf_url":"https://www.mdpi.com/2072-4292/15/3/801/pdf?version=1675159821","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":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4318814448.pdf"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1967268147","https://openalex.org/W2003192903","https://openalex.org/W2062118960","https://openalex.org/W2083277843","https://openalex.org/W2095252775","https://openalex.org/W2102605133","https://openalex.org/W2124351162","https://openalex.org/W2125637308","https://openalex.org/W2137592810","https://openalex.org/W2169527406","https://openalex.org/W2203224402","https://openalex.org/W2248816340","https://openalex.org/W2294854402","https://openalex.org/W2300469113","https://openalex.org/W2473930607","https://openalex.org/W2560647685","https://openalex.org/W2571295082","https://openalex.org/W2732931556","https://openalex.org/W2769833683","https://openalex.org/W2776163999","https://openalex.org/W2799089472","https://openalex.org/W2823072336","https://openalex.org/W2899101283","https://openalex.org/W2913340405","https://openalex.org/W2916798096","https://openalex.org/W2948553897","https://openalex.org/W2962967409","https://openalex.org/W2963072537","https://openalex.org/W2964309882","https://openalex.org/W3034278117","https://openalex.org/W3034550159","https://openalex.org/W3047725879","https://openalex.org/W3081260473","https://openalex.org/W3088611441","https://openalex.org/W3120557619","https://openalex.org/W3132926949","https://openalex.org/W3161825146","https://openalex.org/W3199300986","https://openalex.org/W3204608381","https://openalex.org/W3209945042","https://openalex.org/W3210646956","https://openalex.org/W4283450732","https://openalex.org/W4293215018","https://openalex.org/W4294375521","https://openalex.org/W4312336332","https://openalex.org/W6682778277","https://openalex.org/W6691628522","https://openalex.org/W6768353185","https://openalex.org/W6795755827"],"related_works":["https://openalex.org/W4315434538","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W3199300986","https://openalex.org/W4298131179","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,51,82,92,119,132,162,189],"of":[2,52,57,67,83,131,150,160,226],"remote":[3],"sensing":[4],"(RS)":[5],"images,":[6],"which":[7,71],"is":[8,144],"a":[9,136,139,155,161,227,230],"fundamental":[10],"research":[11],"topic,":[12],"classifies":[13],"each":[14,151],"pixel":[15],"in":[16,24,48,77,101,109,208],"an":[17,21,114,170],"image.":[18],"It":[19],"plays":[20],"essential":[22],"role":[23],"many":[25],"downstream":[26],"RS":[27,53,84,123],"areas,":[28],"such":[29,153],"as":[30,154],"land-cover":[31],"mapping,":[32],"road":[33],"extraction,":[34],"traffic":[35],"monitoring,":[36],"and":[37,117,199,202,205,224],"so":[38],"on.":[39],"Recently,":[40],"although":[41],"deep-learning-based":[42],"methods":[43,60],"have":[44],"shown":[45],"their":[46],"dominance":[47],"automatic":[49,91,95],"semantic":[50,81],"imagery,":[54],"the":[55,148,158,176,197,212,222],"performance":[56,130],"these":[58,107],"existing":[59],"has":[61],"relied":[62],"heavily":[63],"on":[64,196],"large":[65],"amounts":[66],"high-quality":[68],"training":[69,172],"data,":[70],"are":[72,97],"usually":[73],"hard":[74],"to":[75,99,146,174,181,186,211],"obtain":[76,187],"practice.":[78],"Moreover,":[79],"human-in-the-loop":[80],"imagery":[85],"cannot":[86],"be":[87],"completely":[88],"replaced":[89],"by":[90,133],"models,":[93],"since":[94],"models":[96],"prone":[98],"error":[100],"some":[102],"complex":[103],"scenarios.":[104],"To":[105],"address":[106],"issues,":[108],"this":[110],"paper,":[111],"we":[112,168,192],"propose":[113,169],"improved,":[115],"smart,":[116],"interactive":[118],"model,":[120],"DRE-Net,":[121],"for":[122,157,165],"images.":[124],"The":[125],"proposed":[126,177],"model":[127,178],"facilitates":[128],"humans\u2019":[129],"simply":[134],"clicking":[135],"mouse.":[137],"Firstly,":[138],"dynamic":[140],"radius-encoding":[141],"(DRE)":[142],"algorithm":[143],"designed":[145],"distinguish":[147],"purpose":[149],"click,":[152],"click":[156],"selection":[159],"outline":[163],"or":[164],"fine-tuning.":[166],"Secondly,":[167],"incremental":[171],"strategy":[173],"cause":[175],"not":[179],"only":[180],"converge":[182],"quickly,":[183],"but":[184],"also":[185],"refined":[188],"results.":[190],"Finally,":[191],"conducted":[193],"comprehensive":[194],"experiments":[195],"Potsdam":[198],"Vaihingen":[200],"datasets":[201],"achieved":[203],"9.75%":[204],"7.03%":[206],"improvements":[207],"NoC95":[209],"compared":[210],"state-of-the-art":[213],"results,":[214],"respectively.":[215],"In":[216],"addition,":[217],"our":[218],"DRE-Net":[219],"can":[220],"improve":[221],"convergence":[223],"generalization":[225],"network":[228],"with":[229],"fast":[231],"inference":[232],"speed.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-01-20T17:24:06.736184","created_date":"2025-10-10T00:00:00"}