{"id":"https://openalex.org/W7223876887","doi":"https://doi.org/10.1080/01431161.2026.2749114","title":"DCD-Net: a DenseASPP\u2011enhanced network with strip pooling and attention for impervious surface extraction from 10 m remote sensing imagery","display_name":"DCD-Net: a DenseASPP\u2011enhanced network with strip pooling and attention for impervious surface extraction from 10 m remote sensing imagery","publication_year":2026,"publication_date":"2026-10-26","ids":{"openalex":"https://openalex.org/W7223876887","doi":"https://doi.org/10.1080/01431161.2026.2749114"},"language":"en","primary_location":{"id":"doi:10.1080/01431161.2026.2749114","doi":"https://doi.org/10.1080/01431161.2026.2749114","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01431161.2026.2749114","pdf_url":null,"source":{"id":"https://openalex.org/S117411352","display_name":"International Journal of Remote Sensing","issn_l":"0143-1161","issn":["0143-1161","1366-5901"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-2","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Remote Sensing","raw_type":"journal-article"},"volume":null,"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/A5159930166","display_name":"Yingli Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingli Wang","raw_affiliation_strings":["State Key Laboratory of Spatial Datum, College of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Spatial Datum, College of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5159924693","display_name":"Liuyang Tong","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liuyang Tong","raw_affiliation_strings":["State Key Laboratory of Spatial Datum, College of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Spatial Datum, College of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114752483","display_name":"Yuefeng Ma","orcid":"https://orcid.org/0009-0008-3079-1436","observed_orcids":["https://orcid.org/0009-0008-3079-1436"]},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuefeng Ma","raw_affiliation_strings":["State Key Laboratory of Spatial Datum, College of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Spatial Datum, College of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5159787699","display_name":"Qiushuang Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiushuang Zhang","raw_affiliation_strings":["State Key Laboratory of Spatial Datum, College of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Spatial Datum, College of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5159873369","display_name":"Haiying Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiying Wang","raw_affiliation_strings":["State Key Laboratory of Spatial Datum, College of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Spatial Datum, College of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University","institution_ids":["https://openalex.org/I173899330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5159873369"],"corresponding_institution_ids":["https://openalex.org/I173899330"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80712687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9682999849319458,"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":0.9682999849319458,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.015399999916553497,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.006599999964237213,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/impervious-surface-extraction","display_name":"impervious surface extraction","score":1.0},{"id":"https://openalex.org/keywords/strip-pooling","display_name":"strip pooling","score":0.8999999761581421},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.9580000042915344},{"id":"https://openalex.org/keywords/dilated-convolution","display_name":"dilated convolution","score":0.7440000176429749},{"id":"https://openalex.org/keywords/multiscale-feature-extraction","display_name":"multi-scale feature extraction","score":0.7580000162124634},{"id":"https://openalex.org/keywords/deeplabv3","display_name":"DeepLabV3+","score":0.9380000233650208},{"id":"https://openalex.org/keywords/land-cover-mapping","display_name":"land cover mapping","score":0.6759999990463257},{"id":"https://openalex.org/keywords/yellow-river-basin","display_name":"Yellow River Basin","score":0.8479999899864197}],"concepts":[{"id":"https://openalex.org/C2668921","wikidata":"https://www.wikidata.org/wiki/Q1434713","display_name":"Impervious surface","level":2,"score":0.9613000154495239},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7251999974250793},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5997999906539917},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5767999887466431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4693000018596649},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4311999976634979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3815999925136566},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.3801000118255615},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.3743000030517578},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.31290000677108765},{"id":"https://openalex.org/C39853841","wikidata":"https://www.wikidata.org/wiki/Q161078","display_name":"Urbanization","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2964000105857849},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C60478076","wikidata":"https://www.wikidata.org/wiki/Q3036835","display_name":"Reference data","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01431161.2026.2749114","doi":"https://doi.org/10.1080/01431161.2026.2749114","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01431161.2026.2749114","pdf_url":null,"source":{"id":"https://openalex.org/S117411352","display_name":"International Journal of Remote Sensing","issn_l":"0143-1161","issn":["0143-1161","1366-5901"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-2","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7646999955177307,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1984807629","https://openalex.org/W2261059368","https://openalex.org/W2412782625","https://openalex.org/W2735039185","https://openalex.org/W2799213142","https://openalex.org/W2884585870","https://openalex.org/W2902436637","https://openalex.org/W2963446712","https://openalex.org/W2974957001","https://openalex.org/W3034502973","https://openalex.org/W3085972052","https://openalex.org/W4281619551","https://openalex.org/W4295856529","https://openalex.org/W4323315594","https://openalex.org/W4400405274","https://openalex.org/W4400933314"],"related_works":["https://openalex.org/W4320920573","https://openalex.org/W4405022724","https://openalex.org/W2907895806","https://openalex.org/W2903520265","https://openalex.org/W2902436637","https://openalex.org/W3005396446","https://openalex.org/W4412859835","https://openalex.org/W2903669917","https://openalex.org/W2035367843","https://openalex.org/W3214892856"],"abstract_inverted_index":{"Rapid":[0],"urbanization":[1],"has":[2],"intensified":[3],"the":[4,62,112,116,150],"need":[5],"for":[6,26,168],"accurate":[7],"impervious":[8,27,106,156],"surface":[9,28,107,157],"data":[10],"to":[11,73,94],"support":[12],"urban":[13,169,174],"planning":[14],"and":[15,39,89,99,131,143,160,172],"environmental":[16],"management.":[17],"(1)Background:":[18],"While":[19],"remote":[20],"sensing":[21],"imagery":[22],"is":[23],"widely":[24],"applied":[25],"extraction,":[29],"existing":[30],"methods":[31],"still":[32],"face":[33],"challenges":[34],"in":[35,69,154],"preserving":[36],"spatial":[37],"details":[38],"refining":[40],"complex":[41],"boundaries.":[42,108],"(2)Methods:":[43],"To":[44],"address":[45],"these":[46],"limitations,":[47],"we":[48],"developed":[49],"a":[50,132,165],"Densely":[51],"Connected":[52],"Deep":[53],"Convolutional":[54],"Impervious":[55],"Surface":[56],"Extraction":[57],"Model":[58],"(DCD-Net),":[59],"which":[60],"replaces":[61],"Atrous":[63],"Spatial":[64],"Pyramid":[65],"Pooling":[66],"(ASPP)":[67],"module":[68],"DeepLabv3+":[70],"with":[71,120],"DenseASPP":[72],"capture":[74],"multi-scale":[75],"features":[76],"through":[77],"dense":[78],"connections":[79],"of":[80,105,115,129,138,152],"dilated":[81],"convolutions,":[82],"enhancing":[83,155],"contextual":[84],"information":[85],"utilization.":[86],"Strip":[87],"pooling":[88],"attention":[90],"mechanisms":[91],"are":[92],"integrated":[93],"improve":[95],"long-range":[96],"dependency":[97],"modelling":[98],"feature":[100],"representation,":[101],"enabling":[102],"sharper":[103],"delineation":[104],"(3)":[109],"Results:":[110],"Using":[111],"Henan":[113],"section":[114],"Yellow":[117],"River":[118],"Basin":[119],"Esri_Land_Cover_2022_10m":[121],"labelled":[122],"data,":[123],"DCD-Net":[124,153],"achieved":[125],"an":[126],"overall":[127],"accuracy":[128,159],"94.03%":[130],"mean":[133],"intersection":[134],"over":[135],"union":[136],"(MIoU)":[137],"84.03%,":[139],"outperforming":[140],"MA-Net,":[141],"UNet":[142],"DeepLabv3+.":[144],"(4)":[145],"Conclusions:":[146],"These":[147],"findings":[148],"demonstrate":[149],"effectiveness":[151],"extraction":[158],"indicate":[161],"its":[162],"potential":[163],"as":[164],"reliable":[166],"tool":[167],"ecological":[170],"monitoring":[171],"sustainable":[173],"development.":[175]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-10-28T00:00:00"}