{"id":"https://openalex.org/W4417170174","doi":"https://doi.org/10.1109/jstars.2025.3641647","title":"Difference-Guided Multidirectional Complementary Network for Remote Sensing Imagery Semantic Segmentation","display_name":"Difference-Guided Multidirectional Complementary Network for Remote Sensing Imagery Semantic Segmentation","publication_year":2025,"publication_date":"2025-12-09","ids":{"openalex":"https://openalex.org/W4417170174","doi":"https://doi.org/10.1109/jstars.2025.3641647"},"language":null,"primary_location":{"id":"doi:10.1109/jstars.2025.3641647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3641647","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and 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/10.1109/jstars.2025.3641647","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100430288","display_name":"Hong Zhang","orcid":"https://orcid.org/0009-0007-9940-4046"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108918849","display_name":"Y.J. Yao","orcid":"https://orcid.org/0009-0007-6201-8432"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuechao Yao","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"raw_orcid":"https://orcid.org/0009-0007-6201-8432","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076748916","display_name":"Junbo Yu","orcid":"https://orcid.org/0000-0001-6147-2317"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbo Yu","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"raw_orcid":"https://orcid.org/0000-0001-6147-2317","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100638788","display_name":"Lu Wang","orcid":"https://orcid.org/0009-0004-9879-1134"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Wang","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"raw_orcid":"https://orcid.org/0009-0004-9879-1134","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076432970","display_name":"Zerui Wang","orcid":"https://orcid.org/0000-0003-4281-5120"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zerui Wang","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084699418","display_name":"Dong Ren","orcid":"https://orcid.org/0000-0002-0422-1017"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Ren","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"raw_orcid":"https://orcid.org/0000-0002-0422-1017","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161350542"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36166936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"1821","last_page":"1841"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.558899998664856,"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":0.558899998664856,"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":0.2777000069618225,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.030799999833106995,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/segmentation","display_name":"Segmentation","score":0.7078999876976013},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5767999887466431},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5097000002861023},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.5077999830245972},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5060999989509583},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4862000048160553},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.43869999051094055},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4383000135421753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8144999742507935},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7078999876976013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6736999750137329},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5767999887466431},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5097000002861023},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.5077999830245972},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5060999989509583},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.49480000138282776},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4862000048160553},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4618000090122223},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.43869999051094055},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4383000135421753},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.421099990606308},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3546999990940094},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.33959999680519104},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.3082999885082245},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.26589998602867126},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2025.3641647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3641647","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3641647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3641647","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1966178163","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2617056706","https://openalex.org/W2787091153","https://openalex.org/W2911805825","https://openalex.org/W2955058313","https://openalex.org/W2963091558","https://openalex.org/W2963494934","https://openalex.org/W3017123215","https://openalex.org/W3028752951","https://openalex.org/W3035006120","https://openalex.org/W3093142463","https://openalex.org/W3109998321","https://openalex.org/W3137572916","https://openalex.org/W3138516171","https://openalex.org/W3155676825","https://openalex.org/W3161825146","https://openalex.org/W3199444512","https://openalex.org/W3200075728","https://openalex.org/W3212386989","https://openalex.org/W4214909946","https://openalex.org/W4283450732","https://openalex.org/W4312349930","https://openalex.org/W4312443924","https://openalex.org/W4320018395","https://openalex.org/W4376132752","https://openalex.org/W4380995108","https://openalex.org/W4385245566","https://openalex.org/W4385834539","https://openalex.org/W4386634500","https://openalex.org/W4386825170","https://openalex.org/W4389317785","https://openalex.org/W4390706297","https://openalex.org/W4390873471","https://openalex.org/W4390874124","https://openalex.org/W4391128812","https://openalex.org/W4391130239","https://openalex.org/W4391288795","https://openalex.org/W4392980175","https://openalex.org/W4394744721","https://openalex.org/W4396712860","https://openalex.org/W4398188156","https://openalex.org/W4400410086","https://openalex.org/W4400579361","https://openalex.org/W4403193080","https://openalex.org/W4403279492","https://openalex.org/W4403944333","https://openalex.org/W4405128217","https://openalex.org/W4406445277","https://openalex.org/W4406610749","https://openalex.org/W4407563546","https://openalex.org/W4411089481"],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"significant":[1],"progress":[2],"has":[3],"been":[4],"made":[5],"in":[6,55,96,139,172,199],"remote":[7,200],"sensing":[8,201],"image":[9,202],"semantic":[10],"segmentation":[11,203],"based":[12],"on":[13,189],"attention":[14,19,114],"and":[15,32,48,62,100],"frequency.":[16],"However,":[17],"current":[18],"mechanisms":[20],"disregard":[21],"the":[22,34,40,91,97,108,112,132,144,155],"difference":[23,82],"information":[24,99],"between":[25,93],"similar":[26,94],"features,":[27],"which":[28,89,130,168],"reduces":[29],"inter-class":[30],"variance":[31],"increases":[33],"difficulty":[35],"of":[36,45,65,111,135,147,157],"class":[37],"discrimination.":[38],"Meanwhile,":[39],"frequency":[41,126],"domain's":[42],"limited":[43],"representation":[44],"multi-directional":[46,76,125,133],"edges":[47],"textures,":[49],"coupled":[50],"with":[51],"weak":[52],"feature":[53],"complementarity":[54],"multi-scale":[56],"architectures,":[57],"respectively":[58],"hinders":[59],"contour":[60,156],"capture":[61],"spatial":[63],"localization":[64],"small":[66,158,185],"objects.":[67,159],"To":[68],"address":[69],"these":[70],"issues,":[71],"we":[72,122],"propose":[73],"a":[74,81,103,124,161],"difference-guided":[75],"complementary":[77,163],"network":[78],"(DGMDC-Net).":[79],"Specifically,":[80],"attention-guided":[83],"aggregation":[84],"module":[85,128,164],"(DAGAM)":[86],"is":[87,166],"constructed,":[88],"amplifies":[90,131],"differences":[92],"features":[95],"aggregated":[98],"serves":[101],"as":[102],"guidance":[104],"signal":[105],"to":[106,153,181],"reconstruct":[107],"response":[109],"distribution":[110,149],"global":[113],"map,":[115],"thereby":[116],"facilitating":[117],"category":[118],"discrimination":[119],"ability.":[120],"Furthermore,":[121],"design":[123],"enhancement":[127],"(MDFEM),":[129],"characteristics":[134],"pixel":[136],"intensity":[137,148],"mutations":[138],"wavelet":[140],"domain":[141],"while":[142,175],"supplementing":[143],"structural":[145],"patterns":[146],"within":[150],"local":[151],"regions":[152],"refine":[154],"Additionally,":[160],"multi-level":[162],"(MLCM)":[165],"developed,":[167],"correct":[169],"detail":[170],"deviations":[171],"deep":[173],"layers":[174],"maintaining":[176],"shallow":[177],"contextual":[178],"scene":[179],"perception,":[180],"more":[182],"accurately":[183],"localize":[184],"targets.":[186],"Experimental":[187],"results":[188],"four":[190],"benchmark":[191],"datasets":[192],"demonstrate":[193],"that":[194],"DGMDC-Net":[195],"achieves":[196],"superior":[197],"performance":[198],"tasks.":[204],"Codes":[205],"are":[206],"available":[207],"at:":[208],"<uri":[209],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[210],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/fishboy1122/DGMDC</uri>.":[211]},"counts_by_year":[],"updated_date":"2025-12-30T23:08:21.542490","created_date":"2025-12-09T00:00:00"}
