{"id":"https://openalex.org/W4394812053","doi":"https://doi.org/10.1109/access.2024.3388564","title":"Typical Ground Object Recognition in Desert Areas Based on DYDCNet: A Case Study in the Circum-Tarim Region, Xinjiang, China","display_name":"Typical Ground Object Recognition in Desert Areas Based on DYDCNet: A Case Study in the Circum-Tarim Region, Xinjiang, China","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4394812053","doi":"https://doi.org/10.1109/access.2024.3388564"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3388564","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3388564","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10499251.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10499251.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078842042","display_name":"Junfu Fan","orcid":"https://orcid.org/0000-0001-8987-7930"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"id":"https://openalex.org/I4391767971","display_name":"State Key Laboratory of Resources and Environmental Information System","ror":"https://ror.org/03w41by72","country_code":null,"type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793","https://openalex.org/I4391767971"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junfu Fan","raw_affiliation_strings":["School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo, Shandong, China","Institute of Geographic Sciences and Natural Resources Research, State Key Laboratory of Resources and Environmental Information System, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo, Shandong, China","institution_ids":["https://openalex.org/I119203015"]},{"raw_affiliation_string":"Institute of Geographic Sciences and Natural Resources Research, State Key Laboratory of Resources and Environmental Information System, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I19820366","https://openalex.org/I4391767971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083202787","display_name":"Yu Gao","orcid":"https://orcid.org/0000-0002-8724-7748"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Gao","raw_affiliation_strings":["School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo, Shandong, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo, Shandong, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021485937","display_name":"Zongwen Shi","orcid":"https://orcid.org/0009-0006-3292-1738"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongwen Shi","raw_affiliation_strings":["School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo, Shandong, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo, Shandong, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435494","display_name":"Ping Li","orcid":"https://orcid.org/0000-0002-1503-0240"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Li","raw_affiliation_strings":["School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo, Shandong, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo, Shandong, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038795530","display_name":"Guangwei Sun","orcid":"https://orcid.org/0009-0009-7433-4058"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangwei Sun","raw_affiliation_strings":["School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo, Shandong, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo, Shandong, China","institution_ids":["https://openalex.org/I119203015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078842042"],"corresponding_institution_ids":["https://openalex.org/I119203015","https://openalex.org/I19820366","https://openalex.org/I4210160793","https://openalex.org/I4391767971"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09659275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"55800","last_page":"55813"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9977999925613403,"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":0.9977999925613403,"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":0.9962000250816345,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.992900013923645,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7683015465736389},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6561179161071777},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6517025828361511},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6514765620231628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6403646469116211},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5535483956336975},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5171577334403992},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5134921669960022},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46308714151382446},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43595266342163086},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19966071844100952},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10447847843170166}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7683015465736389},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6561179161071777},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6517025828361511},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6514765620231628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6403646469116211},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5535483956336975},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5171577334403992},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5134921669960022},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46308714151382446},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43595266342163086},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19966071844100952},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10447847843170166},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3388564","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3388564","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10499251.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7d2f1a59b94e4e35aa2ea1d19c6889cb","is_oa":true,"landing_page_url":"https://doaj.org/article/7d2f1a59b94e4e35aa2ea1d19c6889cb","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 Access, Vol 12, Pp 55800-55813 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3388564","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3388564","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10499251.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7472079403","display_name":null,"funder_award_id":"42171413","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","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/F4320326832","display_name":"State Key Laboratory of Resources and Environmental Information System","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394812053.pdf","grobid_xml":"https://content.openalex.org/works/W4394812053.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W180242331","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1962532337","https://openalex.org/W2065350495","https://openalex.org/W2069258471","https://openalex.org/W2071136051","https://openalex.org/W2079023123","https://openalex.org/W2100588357","https://openalex.org/W2382403332","https://openalex.org/W2431874326","https://openalex.org/W2507296351","https://openalex.org/W2525740295","https://openalex.org/W2601564443","https://openalex.org/W2602364336","https://openalex.org/W2609077090","https://openalex.org/W2745042876","https://openalex.org/W2787091153","https://openalex.org/W2800452261","https://openalex.org/W2803003377","https://openalex.org/W2810392541","https://openalex.org/W2896070335","https://openalex.org/W2920827296","https://openalex.org/W2963163009","https://openalex.org/W2963292632","https://openalex.org/W2963881378","https://openalex.org/W2982213159","https://openalex.org/W3000722911","https://openalex.org/W3001152983","https://openalex.org/W3003023843","https://openalex.org/W3005612291","https://openalex.org/W3008263964","https://openalex.org/W3016108562","https://openalex.org/W3016889634","https://openalex.org/W3022771627","https://openalex.org/W3034328552","https://openalex.org/W3037815104","https://openalex.org/W3044980160","https://openalex.org/W3082751528","https://openalex.org/W3083569822","https://openalex.org/W3099702946","https://openalex.org/W3118804988","https://openalex.org/W3126324613","https://openalex.org/W3136512936","https://openalex.org/W3137147200","https://openalex.org/W3141138843","https://openalex.org/W3164538544","https://openalex.org/W3209745495","https://openalex.org/W4200150254","https://openalex.org/W4210692941","https://openalex.org/W4225622501","https://openalex.org/W4289515477","https://openalex.org/W4297775537","https://openalex.org/W4307101385","https://openalex.org/W4365516062","https://openalex.org/W4367626496","https://openalex.org/W6641077578","https://openalex.org/W6718471829","https://openalex.org/W6737170303","https://openalex.org/W6737664043","https://openalex.org/W6770750215","https://openalex.org/W6788404882","https://openalex.org/W6790114940","https://openalex.org/W6791940793","https://openalex.org/W7065659329"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2964954556","https://openalex.org/W2890372105","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Automatic":[0],"feature":[1,37,76,110,122,148],"semantic":[2,63,224],"segmentation":[3,51,64,156,182,225],"of":[4,17,33,52,168,171,212,218],"remote":[5],"sensing":[6],"images":[7],"is":[8,68,130],"an":[9,61,163,206,215],"extremely":[10],"critical":[11],"research":[12],"direction":[13],"in":[14,22],"the":[15,23,29,48,57,96,109,116,121,134,143,154,178,193],"field":[16,145],"geographic":[18],"information":[19],"science.":[20],"Especially":[21],"vast":[24],"and":[25,40,50,78,99,119,146,160,181,209,214],"complex":[26,36],"desert":[27,186,203],"area,":[28],"wide":[30],"spatial":[31],"distribution":[32],"surface":[34],"features,":[35,204],"texture":[38],"characteristics":[39],"uneven":[41],"sample":[42],"classification":[43],"bring":[44],"great":[45],"challenges":[46],"to":[47,56,84,107,132,141,175],"recognition":[49],"features.":[53],"In":[54],"response":[55],"question,":[58],"we":[59],"propose":[60],"innovative":[62],"network":[65,70,88,117,194],"scheme,":[66],"which":[67,113,220],"a":[69,101,126],"that":[71,192],"combines":[72],"dynamic":[73,91],"convolutional":[74,81,92,102],"decomposition":[75,93],"extraction":[77,111,123,149],"multi-scale":[79],"deformable":[80,127],"techniques":[82],"(referred":[83],"as":[85],"DYDCNet).":[86],"This":[87],"first":[89],"introduces":[90],"based":[94],"on":[95,198],"attention":[97],"mechanism":[98],"uses":[100],"weight":[103],"matrix":[104],"with":[105,137,205],"dynamics":[106],"optimize":[108],"process,":[112],"significantly":[114,176],"reduces":[115],"parameters":[118],"improves":[120],"efficiency.":[124],"Subsequently,":[125],"convolution":[128,136],"technique":[129],"used":[131],"fuse":[133],"null":[135],"multiple":[138],"expansion":[139],"rates":[140],"extend":[142],"sensory":[144],"realize":[147],"at":[150],"different":[151],"scales.":[152],"Further,":[153],"final":[155],"results":[157,190],"are":[158],"refined":[159],"optimized":[161],"by":[162],"encoder-decoder":[164],"architecture.":[165],"The":[166],"combination":[167],"this":[169],"series":[170],"innovations":[172],"enables":[173],"DYDCNet":[174],"improve":[177],"prediction":[179],"speed":[180],"accuracy":[183,217],"when":[184],"processing":[185],"region":[187],"images.":[188],"Experimental":[189],"show":[191],"has":[195],"excellent":[196],"performance":[197],"datasets":[199],"specifically":[200],"designed":[201],"for":[202],"average":[207],"intersection":[208],"merger":[210],"ratio":[211],"87.75%":[213],"overall":[216],"91.35%,":[219],"outperforms":[221],"existing":[222],"mainstream":[223],"networks.":[226]},"counts_by_year":[],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}