{"id":"https://openalex.org/W3128380097","doi":"https://doi.org/10.1145/3443467.3443769","title":"A Convolutional Neural Network-Based Noise Filtering Method for Photon-Counting LiDAR Data","display_name":"A Convolutional Neural Network-Based Noise Filtering Method for Photon-Counting LiDAR Data","publication_year":2020,"publication_date":"2020-11-06","ids":{"openalex":"https://openalex.org/W3128380097","doi":"https://doi.org/10.1145/3443467.3443769","mag":"3128380097"},"language":"en","primary_location":{"id":"doi:10.1145/3443467.3443769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3443467.3443769","pdf_url":null,"source":{"id":"https://openalex.org/S4306523680","display_name":"Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-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/A5036094849","display_name":"Yizhe Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yizhe Yuan","raw_affiliation_strings":["School of Software Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111450767","display_name":"Changqing Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changqing Yin","raw_affiliation_strings":["School of Software Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029507303","display_name":"Tianran Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianran Tan","raw_affiliation_strings":["School of Software Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036094849"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2959381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"285","last_page":"289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9930999875068665,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7266921997070312},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6889932155609131},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6475507616996765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6114318370819092},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5769510269165039},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4935978651046753},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4728265702724457},{"id":"https://openalex.org/keywords/photon-counting","display_name":"Photon counting","score":0.45211753249168396},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4384094774723053},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4251415729522705},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.41889238357543945},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.413069486618042},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36052027344703674},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34215089678764343},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13770538568496704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7266921997070312},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6889932155609131},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6475507616996765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6114318370819092},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5769510269165039},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4935978651046753},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4728265702724457},{"id":"https://openalex.org/C2781402376","wikidata":"https://www.wikidata.org/wiki/Q17126172","display_name":"Photon counting","level":3,"score":0.45211753249168396},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4384094774723053},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4251415729522705},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.41889238357543945},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.413069486618042},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36052027344703674},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34215089678764343},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13770538568496704},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3443467.3443769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3443467.3443769","pdf_url":null,"source":{"id":"https://openalex.org/S4306523680","display_name":"Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1998011866","https://openalex.org/W2004444779","https://openalex.org/W2031319220","https://openalex.org/W2166344971","https://openalex.org/W2347201226","https://openalex.org/W2950642167","https://openalex.org/W2963231572","https://openalex.org/W3012494314"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W4281783339","https://openalex.org/W1964041166","https://openalex.org/W4328050665","https://openalex.org/W2038474459"],"abstract_inverted_index":{"Photon-counting":[0],"LiDAR":[1,25],"plays":[2],"an":[3],"important":[4,76],"role":[5],"in":[6,81,84],"the":[7,49,101,133,154,165,177],"surveying":[8],"and":[9,18,37,110,138,149,160,163,196],"mapping":[10],"areas":[11],"with":[12],"its":[13,150],"advantages":[14],"of":[15,31,71,179,187,208,213],"high":[16],"sensitivity":[17],"low":[19],"emission":[20],"power.":[21],"In":[22],"recent":[23],"years,":[24],"is":[26,64,75,176,191],"used":[27,59],"for":[28,60,114],"a":[29,94],"variety":[30],"scenarios":[32],"including":[33],"drones,":[34],"unmanned":[35],"vehicles,":[36],"even":[38],"consumer":[39],"electronics.":[40],"The":[41,185],"photon-counting":[42,214],"detection":[43],"system":[44],"receives":[45],"return":[46],"points":[47,210],"on":[48,125,168],"photon":[50],"level,":[51],"which":[52,105,175],"retains":[53],"rich":[54],"detail":[55],"than":[56],"can":[57,204],"be":[58],"analysis.":[61],"However,":[62],"it":[63],"so":[65],"sensitive":[66],"that":[67,201],"data":[68,82,195,212],"are":[69,119,130,144],"full":[70],"noise":[72,80,88,102,112,209],"points.":[73],"It":[74,199],"to":[77,86,99,121,171],"filter":[78],"out":[79],"preprocessing":[83],"order":[85],"prevent":[87],"from":[89,146,181,211],"affecting":[90],"post-analysis.":[91],"We":[92,157],"proposed":[93,189],"convolutional":[95,155],"neural":[96],"network-based":[97],"method":[98,190,203],"solve":[100],"filtering":[103],"problem,":[104],"accepts":[106],"varied":[107],"input":[108],"sizes":[109],"outputs":[111],"labels":[113],"each":[115,147],"point.":[116],"Symmetry":[117],"functions":[118],"designed":[120],"ensure":[122],"consistent":[123],"results":[124],"unordered":[126],"data.":[127,198],"Global":[128],"features":[129,143,162],"extracted":[131,145],"by":[132,193],"shared":[134,169],"multilayer":[135],"perceptron":[136],"(MLP)":[137],"max":[139],"pooling":[140],"layer.":[141],"Local":[142],"point":[148],"spatial":[151],"neighbors":[152],"through":[153],"operator.":[156],"combine":[158],"global":[159],"local":[161],"build":[164],"network":[166],"based":[167],"MLP":[170],"learn":[172],"pointwise":[173],"segmentation,":[174],"label":[178],"noise,":[180],"these":[182],"combined":[183],"features.":[184],"performance":[186],"our":[188,202],"evaluated":[192],"simulated":[194],"MABEL":[197],"shows":[200],"effectively":[205],"eliminate":[206],"most":[207],"LiDAR.":[215]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}