{"id":"https://openalex.org/W4397011549","doi":"https://doi.org/10.3390/rs16101775","title":"Cross-Modal Segmentation Network for Winter Wheat Mapping in Complex Terrain Using Remote-Sensing Multi-Temporal Images and DEM Data","display_name":"Cross-Modal Segmentation Network for Winter Wheat Mapping in Complex Terrain Using Remote-Sensing Multi-Temporal Images and DEM Data","publication_year":2024,"publication_date":"2024-05-16","ids":{"openalex":"https://openalex.org/W4397011549","doi":"https://doi.org/10.3390/rs16101775"},"language":"en","primary_location":{"id":"doi:10.3390/rs16101775","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16101775","pdf_url":"https://www.mdpi.com/2072-4292/16/10/1775/pdf?version=1715873643","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/2072-4292/16/10/1775/pdf?version=1715873643","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100332697","display_name":"Nan Wang","orcid":"https://orcid.org/0000-0001-5973-4496"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Wang","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100521888","display_name":"Qingxi Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingxi Wu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056288823","display_name":"Yuanyuan Gui","orcid":"https://orcid.org/0009-0000-9654-3971"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Gui","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043787337","display_name":"Qiao Hu","orcid":"https://orcid.org/0000-0001-9492-0761"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiao Hu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100317994","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-7015-7335"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5043787337"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":12.1074,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.99528788,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"16","issue":"10","first_page":"1775","last_page":"1775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9531000256538391,"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"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9531000256538391,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9437999725341797,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6980084776878357},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6818572878837585},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.581051230430603},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.5765843391418457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4078252613544464},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.37857821583747864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30447590351104736},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.2933952212333679},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2443011999130249}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6980084776878357},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6818572878837585},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.581051230430603},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.5765843391418457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4078252613544464},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.37857821583747864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30447590351104736},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.2933952212333679},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2443011999130249},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16101775","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16101775","pdf_url":"https://www.mdpi.com/2072-4292/16/10/1775/pdf?version=1715873643","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:bac527bf72b649f18ea78f80570b4e87","is_oa":false,"landing_page_url":"https://doaj.org/article/bac527bf72b649f18ea78f80570b4e87","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 10, p 1775 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16101775","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16101775","pdf_url":"https://www.mdpi.com/2072-4292/16/10/1775/pdf?version=1715873643","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":[{"score":0.6899999976158142,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4397011549.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1998281138","https://openalex.org/W2023912087","https://openalex.org/W2068094410","https://openalex.org/W2077524583","https://openalex.org/W2095796323","https://openalex.org/W2110704295","https://openalex.org/W2560023338","https://openalex.org/W2587989515","https://openalex.org/W2612144337","https://openalex.org/W2737391801","https://openalex.org/W2884822772","https://openalex.org/W2926548420","https://openalex.org/W2963391824","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W2986816104","https://openalex.org/W2989100060","https://openalex.org/W3033496625","https://openalex.org/W3103294501","https://openalex.org/W3125947825","https://openalex.org/W3135196696","https://openalex.org/W3153942346","https://openalex.org/W3207949352","https://openalex.org/W4200174151","https://openalex.org/W4200556575","https://openalex.org/W4220917101","https://openalex.org/W4283450732","https://openalex.org/W4296006148","https://openalex.org/W4312330276","https://openalex.org/W4312963449","https://openalex.org/W4383989019","https://openalex.org/W6656262881","https://openalex.org/W6674112664","https://openalex.org/W6804835511"],"related_works":["https://openalex.org/W1992962589","https://openalex.org/W3032871857","https://openalex.org/W1743191351","https://openalex.org/W3104633800","https://openalex.org/W3023567978","https://openalex.org/W3044778482","https://openalex.org/W3040494141","https://openalex.org/W4384026392","https://openalex.org/W1977229594","https://openalex.org/W2072400776"],"abstract_inverted_index":{"Winter":[0],"wheat":[1,31,46,96,136,228],"is":[2,10,34,223],"a":[3,90,111,119,142,154,160,207],"significant":[4],"global":[5],"food":[6],"crop,":[7],"and":[8,22,53,78,105,141,203],"it":[9,132],"crucial":[11],"to":[12,38,58,80,123,133,146,149,192],"monitor":[13],"its":[14],"distribution":[15,27,56,77],"for":[16,94,184],"better":[17],"agricultural":[18],"management,":[19],"land":[20],"planning,":[21],"environmental":[23],"sustainability.":[24],"However,":[25],"the":[26,70,127,147,169,177,185,194],"style":[28],"of":[29,72,138,172,180,196],"winter":[30,45,95,135,173,227],"planting":[32,47,181],"fields":[33],"not":[35],"consistent":[36,155],"due":[37],"different":[39],"terrain":[40,100],"conditions.":[41],"In":[42,85],"mountainous":[43],"areas,":[44,182],"units":[48],"are":[49],"smaller":[50],"in":[51,55,98,188,210,225,229],"size":[52],"fragmented":[54],"compared":[57],"plain":[59],"areas.":[60],"Unfortunately,":[61],"most":[62],"crop-mapping":[63],"research":[64],"based":[65],"on":[66,75,206],"deep":[67],"learning":[68],"ignores":[69],"impact":[71],"topographic":[73],"relief":[74],"crop":[76],"struggles":[79],"handle":[81],"hilly":[82,189],"areas":[83],"effectively.":[84],"this":[86],"paper,":[87],"we":[88,109,158,199],"propose":[89,110],"cross-modal":[91],"segmentation":[92],"network":[93],"mapping":[97,226],"complex":[99,230],"using":[101],"remote-sensing":[102],"multi-temporal":[103],"images":[104,125],"DEM":[106,148],"data.":[107],"First,":[108],"diverse":[112],"receptive":[113,121,144],"fusion":[114,129],"(DRF)":[115],"module,":[116,165],"which":[117,166],"applies":[118],"deformable":[120],"field":[122,145],"optical":[124],"during":[126],"feature":[128,170],"process,":[130],"allowing":[131],"match":[134],"plots":[137],"varying":[139],"scales":[140],"fixed":[143],"extract":[150],"evaluation":[151],"features":[152],"at":[153],"scale.":[156],"Second,":[157],"developed":[159],"distributed":[161],"weight":[162],"attention":[163],"(DWA)":[164],"can":[167],"enhance":[168],"intensity":[171],"wheat,":[174],"thereby":[175],"reducing":[176],"omission":[178],"rate":[179],"especially":[183],"small-sized":[186],"regions":[187],"terrain.":[190,231],"Furthermore,":[191],"demonstrate":[193],"performance":[195],"our":[197,220],"model,":[198],"conducted":[200],"extensive":[201],"experiments":[202],"ablation":[204],"studies":[205],"large-scale":[208],"dataset":[209],"Lanling":[211],"county,":[212],"Shandong":[213],"province,":[214],"China.":[215],"Our":[216],"results":[217],"show":[218],"that":[219],"proposed":[221],"CM-Net":[222],"effective":[224]},"counts_by_year":[{"year":2026,"cited_by_count":34},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}