{"id":"https://openalex.org/W4412404183","doi":"https://doi.org/10.1109/tgrs.2025.3589143","title":"IDNet: Intensity-Constrained Detail-Enhanced Network for Hyperspectral and LiDAR Collaborative Classification","display_name":"IDNet: Intensity-Constrained Detail-Enhanced Network for Hyperspectral and LiDAR Collaborative Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412404183","doi":"https://doi.org/10.1109/tgrs.2025.3589143"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3589143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3589143","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"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/A5100884625","display_name":"Liang Chao","orcid":null},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":"CN","type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Liang","raw_affiliation_strings":["College of Computer Science and Engineering, Changchun University of Technology, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Changchun University of Technology, Changchun, China","institution_ids":["https://openalex.org/I4385474403"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuqing Zhao","orcid":"https://orcid.org/0009-0007-4023-0424"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":"CN","type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqing Zhao","raw_affiliation_strings":["College of Computer Science and Engineering, Changchun University of Technology, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0007-4023-0424","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Changchun University of Technology, Changchun, China","institution_ids":["https://openalex.org/I4385474403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100770393","display_name":"Yu Song","orcid":"https://orcid.org/0000-0002-3027-3128"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":"CN","type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Song","raw_affiliation_strings":["College of Computer Science and Engineering, Changchun University of Technology, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Changchun University of Technology, Changchun, China","institution_ids":["https://openalex.org/I4385474403"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005788398","display_name":"Kang Ni","orcid":"https://orcid.org/0000-0003-1026-2074"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Ni","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-1026-2074","affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0839,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78377673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9778000116348267,"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":0.9778000116348267,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.817272424697876},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7899303436279297},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6425921320915222},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5762010812759399},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.521973729133606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43884533643722534},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.28065258264541626},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13689938187599182}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.817272424697876},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7899303436279297},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6425921320915222},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5762010812759399},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.521973729133606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43884533643722534},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.28065258264541626},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13689938187599182},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3589143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3589143","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1480591243","display_name":null,"funder_award_id":"20220201030GX","funder_id":"https://openalex.org/F4320338469","funder_display_name":"Science and Technology Program of Zhejiang Province"},{"id":"https://openalex.org/G4106820521","display_name":null,"funder_award_id":"62101280","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5409677342","display_name":null,"funder_award_id":"2023M731781","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320338469","display_name":"Science and Technology Program of Zhejiang Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W2963371848","https://openalex.org/W3004968762","https://openalex.org/W3016244469","https://openalex.org/W3035356612","https://openalex.org/W3081753142","https://openalex.org/W3168367808","https://openalex.org/W3191036819","https://openalex.org/W3202733799","https://openalex.org/W3208935369","https://openalex.org/W4200068923","https://openalex.org/W4280563105","https://openalex.org/W4285134520","https://openalex.org/W4285195596","https://openalex.org/W4312208437","https://openalex.org/W4312465065","https://openalex.org/W4312592451","https://openalex.org/W4312938972","https://openalex.org/W4313306177","https://openalex.org/W4315606133","https://openalex.org/W4317738558","https://openalex.org/W4378078386","https://openalex.org/W4379985134","https://openalex.org/W4380078700","https://openalex.org/W4386432259","https://openalex.org/W4387211165","https://openalex.org/W4387250698","https://openalex.org/W4387448065","https://openalex.org/W4387789827","https://openalex.org/W4388505065","https://openalex.org/W4388543795","https://openalex.org/W4390232172","https://openalex.org/W4390659044","https://openalex.org/W4390873437","https://openalex.org/W4391092744","https://openalex.org/W4391877704","https://openalex.org/W4391935886","https://openalex.org/W4391944617","https://openalex.org/W4392061677","https://openalex.org/W4392796571","https://openalex.org/W4399849901","https://openalex.org/W4400062116","https://openalex.org/W4400772122","https://openalex.org/W4401109949","https://openalex.org/W4402351343","https://openalex.org/W4402473688","https://openalex.org/W4402832404","https://openalex.org/W4402892019","https://openalex.org/W4403295609","https://openalex.org/W4403390854","https://openalex.org/W4403511252","https://openalex.org/W4404479756","https://openalex.org/W4404914914"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W4406302447","https://openalex.org/W2385371209","https://openalex.org/W2351984678","https://openalex.org/W4250051149","https://openalex.org/W2140032575","https://openalex.org/W2083270190","https://openalex.org/W2011860471","https://openalex.org/W2012196540","https://openalex.org/W3011451421"],"abstract_inverted_index":{"The":[0],"complementarity":[1],"of":[2,88,172,221],"hyperspectral":[3],"image":[4],"(HSI)":[5],"and":[6,9,24,70,90,116,124,140,190,202,210],"light":[7],"detection":[8],"ranging":[10],"(LiDAR)":[11],"data":[12],"provides":[13],"significant":[14],"advantages":[15],"in":[16,41,52,72,137],"land":[17,44,75],"cover":[18,45,76],"classification":[19,26,87],"tasks.":[20],"Currently,":[21],"most":[22],"HSI":[23,89,139],"LiDAR":[25,91,141],"algorithms":[27,185],"focus":[28],"on":[29,204],"local-global":[30,133],"feature":[31,127,145,161,166],"learning":[32],"frameworks.":[33],"However,":[34],"high-frequency":[35,50,80,109,134,160],"characteristics":[36],"play":[37],"a":[38,112],"vital":[39],"role":[40],"distinguishing":[42],"different":[43],"classes.":[46],"For":[47],"instance,":[48],"the":[49,53,73,85,138,144,170,173,182,192,205,216],"information":[51,82],"spectral":[54,58],"curve":[55],"corresponds":[56],"to":[57,130,152,168],"features":[59,68,110,136],"characterized":[60],"by":[61,94,197],"rapid":[62],"variations,":[63],"as":[64,66,187,215],"well":[65],"detailed":[67],"(edges":[69],"boundaries)":[71],"spatial":[74],"information.":[77],"Therefore,":[78],"embedding":[79],"detail":[81,156],"can":[83],"enhance":[84],"collaborative":[86],"data.":[92],"Motivated":[93],"this,":[95],"this":[96,222],"paper":[97],"proposes":[98],"an":[99,154],"Intensity-Constrained":[100],"Detail-Enhanced":[101],"Network,":[102],"named":[103],"IDNet.":[104],"This":[105],"network":[106,114],"embeds":[107],"Laplacian":[108],"into":[111],"Transformer":[113,118],"architecture":[115],"designs":[117],"blocks":[119],"with":[120,181,213],"dynamic":[121,165],"range":[122],"awareness":[123],"similarity-based":[125],"spatial-spectral":[126,135],"grouping":[128],"interactions":[129],"efficiently":[131],"learn":[132],"branches.":[142],"During":[143],"fusion":[146,167],"stage,":[147],"differential":[148],"convolution":[149],"is":[150,195,224],"utilized":[151],"construct":[153],"enhanced":[155],"expert":[157],"that":[158,179],"emphasizes":[159],"information,":[162],"enabling":[163],"adaptive":[164],"improve":[169],"discriminability":[171],"fused":[174],"features.":[175],"Experimental":[176],"results":[177],"show":[178],"compared":[180],"current":[183],"state-of-the-art":[184],"such":[186],"S2ENet,":[188],"HCT-Net":[189],"MHST,":[191],"proposed":[193],"IDNet":[194],"improved":[196],"0.55%-2.72%,":[198],"0.17%":[199],"-1.31%,":[200],"0.41%-4.92%,":[201],"2.58%-13.13%":[203],"Houston":[206],"2013,":[207],"Trento,":[208],"MUUFL,":[209],"Augsburg":[211],"dataset":[212],"OA":[214],"evaluation":[217],"index,":[218],"respectively.":[219],"Code":[220],"project":[223],"at":[225],"https://github.com/ZhaoYuQing01/IDNet.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}