{"id":"https://openalex.org/W2189299413","doi":"https://doi.org/10.1109/mmsp.2015.7340880","title":"Hidden target detection from the multi-echo small-footprint LiDAR point clouds","display_name":"Hidden target detection from the multi-echo small-footprint LiDAR point clouds","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2189299413","doi":"https://doi.org/10.1109/mmsp.2015.7340880","mag":"2189299413"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2015.7340880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2015.7340880","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","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/A5100374691","display_name":"Yiping Chen","orcid":"https://orcid.org/0000-0003-1465-6599"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiping Chen","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, Xiamen, FuJian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, Xiamen, FuJian, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416961","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0001-6075-796X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, Xiamen, FuJian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, Xiamen, FuJian, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100613889","display_name":"Jonathan Li","orcid":"https://orcid.org/0000-0001-7899-0049"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jonathan Li","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, Xiamen, FuJian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, Xiamen, FuJian, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07098722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"36","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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":1.0,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9958999752998352,"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/lidar","display_name":"Lidar","score":0.8884488344192505},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.6999633312225342},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.6704801321029663},{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.652224063873291},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.614395797252655},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6067472100257874},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.5601130723953247},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5552908778190613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5497265458106995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4865071177482605},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39792242646217346},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32025885581970215},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.23328545689582825},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19558510184288025},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08726626634597778}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8884488344192505},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.6999633312225342},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.6704801321029663},{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.652224063873291},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.614395797252655},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6067472100257874},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.5601130723953247},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5552908778190613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5497265458106995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4865071177482605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39792242646217346},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32025885581970215},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.23328545689582825},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19558510184288025},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08726626634597778},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2015.7340880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2015.7340880","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W280898154","https://openalex.org/W754377896","https://openalex.org/W1913356549","https://openalex.org/W1949338699","https://openalex.org/W1992850481","https://openalex.org/W2021793377","https://openalex.org/W2041652892","https://openalex.org/W2077453609","https://openalex.org/W2078073057","https://openalex.org/W2081043154","https://openalex.org/W2094605604","https://openalex.org/W2132549764","https://openalex.org/W2138060511","https://openalex.org/W2347264276","https://openalex.org/W2392484460","https://openalex.org/W2755347827","https://openalex.org/W2790988643","https://openalex.org/W6744717348"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4308259661","https://openalex.org/W4390813131","https://openalex.org/W2349383066","https://openalex.org/W4328132048","https://openalex.org/W1969901537","https://openalex.org/W2376202349"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,67],"new":[3],"approach":[4],"for":[5,97,175],"hidden":[6,178],"or":[7],"potential":[8],"object":[9,49],"detection":[10,21,77],"behind":[11,124],"the":[12,16,28,42,48,52,56,61,75,79,95,101,106,113,118,121,134,141,145,155,168],"vegetation":[13],"based":[14,99],"on":[15,100,154],"multi-echo":[17,64],"small-footprint":[18,159],"of":[19,60,78,87,133],"light":[20],"and":[22,46,92,120,144],"ranging(LiDAR)":[23],"point":[24,107],"cloud.":[25],"According":[26],"to":[27,36,44,51,71,139],"specific":[29],"characteristic":[30],"that":[31,167],"laser":[32],"beam":[33],"is":[34,137],"able":[35],"penetrate":[37],"foliage":[38],"gaps,":[39],"which":[40,109],"offers":[41],"opportunity":[43],"perceive":[45],"detect":[47],"invisible":[50],"naked":[53],"eye.":[54],"First,":[55],"waveform":[57,80,135,177],"sample":[58],"data":[59],"small":[62],"footprint":[63],"liDAR":[65],"uses":[66],"Gaussian":[68],"fitting":[69],"tool":[70],"curve":[72],"fitting.":[73],"Second,":[74],"peak":[76],"can":[81],"be":[82],"classified":[83],"in":[84,112],"statistical":[85],"results":[86,165],"its":[88],"wave":[89],"numbers.":[90],"Decomposition":[91],"correction":[93],"are":[94,110,152],"processing":[96],"classifying":[98],"statistic":[102],"data.":[103],"After":[104],"selecting":[105],"clouds":[108],"contained":[111],"multi-peaks":[114],"echoes,":[115],"we":[116],"obtain":[117],"tree":[119],"embedded":[122],"target":[123,146,179],"it":[125],"as":[126,128],"well":[127],"ground":[129],"elimination.":[130],"The":[131,164],"range":[132],"component":[136],"used":[138],"separate":[140],"penetrations":[142],"material":[143],"by":[147,158],"distance":[148],"discriminant":[149],"function.":[150],"Experiments":[151],"implemented":[153],"waveforms":[156],"acquired":[157],"LiDAR":[160,176],"system":[161],"VZ-1000":[162],"Sensor.":[163],"indicate":[166],"algorithm":[169],"could":[170],"provide":[171],"an":[172],"optimal":[173],"solution":[174],"detection.":[180]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}