{"id":"https://openalex.org/W4415707541","doi":"https://doi.org/10.1109/tgrs.2025.3626844","title":"Depth-Enhanced Neural Radiance Fields for UAV-Based 3-D Reconstruction via Bidirectional Optimization and Space Warping","display_name":"Depth-Enhanced Neural Radiance Fields for UAV-Based 3-D Reconstruction via Bidirectional Optimization and Space Warping","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415707541","doi":"https://doi.org/10.1109/tgrs.2025.3626844"},"language":null,"primary_location":{"id":"doi:10.1109/tgrs.2025.3626844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3626844","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/A5100764220","display_name":"Wei Deng","orcid":"https://orcid.org/0000-0002-3922-3805"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Deng","raw_affiliation_strings":["School of Resource and Environmental Sciences, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395267","display_name":"Huifang Li","orcid":"https://orcid.org/0000-0003-4626-7416"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifang Li","raw_affiliation_strings":["School of Resource and Environmental Sciences, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-4626-7416","affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114374395","display_name":"Huanfeng Shen","orcid":"https://orcid.org/0000-0002-4140-1869"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210157807","display_name":"Ministry of Education","ror":"https://ror.org/04fp2d244","country_code":"MV","type":"government","lineage":["https://openalex.org/I4210157807"]}],"countries":["CN","MV"],"is_corresponding":false,"raw_author_name":"Huanfeng Shen","raw_affiliation_strings":["School of Resource and Environmental Sciences, the Key Laboratory of Geographic Information System of Ministry of Education, and the Key Laboratory of Digital Mapping and Land Information Application of the Ministry of Natural Resources, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4140-1869","affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Sciences, the Key Laboratory of Geographic Information System of Ministry of Education, and the Key Laboratory of Digital Mapping and Land Information Application of the Ministry of Natural Resources, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I211433327","https://openalex.org/I4210157807"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100764220"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31657151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.6312000155448914,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.6312000155448914,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.17229999601840973,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.052799999713897705,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/image-warping","display_name":"Image warping","score":0.7289999723434448},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5462999939918518},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5001000165939331},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.45399999618530273},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.42820000648498535},{"id":"https://openalex.org/keywords/octree","display_name":"Octree","score":0.4226999878883362},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.3483000099658966},{"id":"https://openalex.org/keywords/geometric-primitive","display_name":"Geometric primitive","score":0.34220001101493835},{"id":"https://openalex.org/keywords/geometric-transformation","display_name":"Geometric transformation","score":0.34139999747276306},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3312000036239624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932000160217285},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.7289999723434448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6651999950408936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6531999707221985},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5462999939918518},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5001000165939331},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.45399999618530273},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.42820000648498535},{"id":"https://openalex.org/C141297171","wikidata":"https://www.wikidata.org/wiki/Q1143237","display_name":"Octree","level":2,"score":0.4226999878883362},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.3483000099658966},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C56435381","wikidata":"https://www.wikidata.org/wiki/Q1196371","display_name":"Geometric transformation","level":3,"score":0.34139999747276306},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3312000036239624},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.32120001316070557},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3034999966621399},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C32990609","wikidata":"https://www.wikidata.org/wiki/Q306542","display_name":"Transformation geometry","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C104065381","wikidata":"https://www.wikidata.org/wiki/Q1002535","display_name":"Geometric modeling","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C126795593","wikidata":"https://www.wikidata.org/wiki/Q7333813","display_name":"Rigid transformation","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.2669000029563904},{"id":"https://openalex.org/C117455697","wikidata":"https://www.wikidata.org/wiki/Q190149","display_name":"Photogrammetry","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C89720835","wikidata":"https://www.wikidata.org/wiki/Q1531701","display_name":"Global illumination","level":3,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3626844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3626844","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/G2736459441","display_name":null,"funder_award_id":"42422109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8465193892","display_name":null,"funder_award_id":"42371366","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1964057156","https://openalex.org/W2033819227","https://openalex.org/W2105303354","https://openalex.org/W2108134361","https://openalex.org/W2124313187","https://openalex.org/W2129404737","https://openalex.org/W2151103935","https://openalex.org/W2156598602","https://openalex.org/W2160014001","https://openalex.org/W2163446794","https://openalex.org/W2471962767","https://openalex.org/W2519683295","https://openalex.org/W2520707372","https://openalex.org/W2962793285","https://openalex.org/W2963488291","https://openalex.org/W2963591054","https://openalex.org/W2963850211","https://openalex.org/W3001208788","https://openalex.org/W3034530552","https://openalex.org/W3118635606","https://openalex.org/W3136656704","https://openalex.org/W3176368002","https://openalex.org/W3177583232","https://openalex.org/W3203257492","https://openalex.org/W3203570626","https://openalex.org/W3203806429","https://openalex.org/W3215769467","https://openalex.org/W4200150166","https://openalex.org/W4214520160","https://openalex.org/W4221151978","https://openalex.org/W4312280420","https://openalex.org/W4312325284","https://openalex.org/W4312480149","https://openalex.org/W4312969460","https://openalex.org/W4313017495","https://openalex.org/W4313031684","https://openalex.org/W4386066457","https://openalex.org/W4390871789","https://openalex.org/W4393149622","https://openalex.org/W4401416016","https://openalex.org/W4415798746"],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,11,21,28,101,167,171,188],"neural":[3],"radiance":[4],"fields":[5],"(NeRF)":[6],"have":[7],"demonstrated":[8],"significant":[9,73],"potential":[10],"3D":[12,183],"reconstruction":[13,58],"and":[14,34,59,129,161],"novel":[15,122],"view":[16],"synthesis.":[17],"However,":[18],"their":[19],"application":[20],"photogrammetry":[22],"remains":[23],"limited":[24],"due":[25],"to":[26,54],"challenges":[27,100],"geometric":[29,57,105,130,173],"accuracy":[30],"for":[31,152,181],"unbounded":[32,102,145],"scenes":[33,146],"training":[35,74],"inefficiency.":[36],"We":[37],"propose":[38],"Bidirectional":[39],"Depth-Space":[40],"Optimized":[41],"NeRF":[42],"(BiDS-NeRF),":[43],"a":[44,113,121,178],"framework":[45],"that":[46,126],"integrates":[47],"depth":[48,115],"estimation":[49,116],"with":[50,89,120,141],"space":[51,91],"warping":[52,92],"optimization":[53,124],"balance":[55],"high-precision":[56],"high-fidelity":[60],"rendering.":[61],"A":[62],"lightweight":[63],"architecture":[64],"leveraging":[65],"multi-resolution":[66],"hash":[67],"encoding":[68],"is":[69,93,107,147],"first":[70],"established,":[71,148],"achieving":[72],"acceleration":[75],"while":[76],"preserving":[77],"rendering":[78],"quality.":[79],"Building":[80],"upon":[81],"this":[82],"foundation,":[83],"an":[84,136],"implicit":[85],"surface":[86],"segmentation":[87],"mechanism":[88],"dynamic":[90],"proposed,":[94],"effectively":[95],"resolving":[96],"distant":[97],"object":[98],"representation":[99],"scenes.":[103],"Finally,":[104],"consistency":[106],"enhanced":[108],"through":[109],"the":[110,158],"integration":[111],"of":[112,144],"monocular":[114],"pre-training":[117],"model,":[118],"coupled":[119],"bidirectional":[123],"strategy":[125],"synchronizes":[127],"photometric":[128],"constraints.":[131],"Complementing":[132],"our":[133,162],"technical":[134],"contributions,":[135],"open-source":[137],"UAV":[138,163],"benchmark":[139],"dataset":[140,160,164],"multiple":[142],"categories":[143],"providing":[149],"quantifiable":[150],"metrics":[151],"cross-scene":[153],"applicability":[154,187],"assessment.":[155],"Experiments":[156],"on":[157],"OMMO":[159],"demonstrate":[165],"improvements":[166],"relevant":[168],"metrics,":[169],"particularly":[170],"complex":[172],"regions.":[174],"Our":[175],"method":[176],"provides":[177],"practical":[179],"solution":[180],"UAV-based":[182],"reconstruction,":[184],"advancing":[185],"NeRF\u2019s":[186],"large-scale":[189],"scene":[190],"modeling.":[191]},"counts_by_year":[],"updated_date":"2025-11-11T23:18:09.558992","created_date":"2025-10-30T00:00:00"}