{"id":"https://openalex.org/W3114370481","doi":"https://doi.org/10.1134/s0361768820080113","title":"Object Detection in Aerial Navigation using Wavelet Transform and Convolutional Neural Networks: A First Approach","display_name":"Object Detection in Aerial Navigation using Wavelet Transform and Convolutional Neural Networks: A First Approach","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3114370481","doi":"https://doi.org/10.1134/s0361768820080113","mag":"3114370481"},"language":"en","primary_location":{"id":"doi:10.1134/s0361768820080113","is_oa":false,"landing_page_url":"https://doi.org/10.1134/s0361768820080113","pdf_url":null,"source":{"id":"https://openalex.org/S150218641","display_name":"Programming and Computer Software","issn_l":"0361-7688","issn":["0361-7688","1608-3261"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Programming and Computer Software","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/A5024388629","display_name":"Juan Manuel Fortuna-Cervantes","orcid":"https://orcid.org/0000-0002-9229-3159"},"institutions":[{"id":"https://openalex.org/I196664497","display_name":"Autonomous University of San Luis Potos\u00ed","ror":"https://ror.org/000917t60","country_code":"MX","type":"education","lineage":["https://openalex.org/I196664497"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"J. M. Fortuna-Cervantes","raw_affiliation_strings":["Universidad Aut\u00f3noma de San Luis Potos\u00ed, Facultad de Ciencias-IICO, Karakorum1470, Lomas 4a, 78210, San Luis Potos\u00ed, S.L.P., Mexico"],"affiliations":[{"raw_affiliation_string":"Universidad Aut\u00f3noma de San Luis Potos\u00ed, Facultad de Ciencias-IICO, Karakorum1470, Lomas 4a, 78210, San Luis Potos\u00ed, S.L.P., Mexico","institution_ids":["https://openalex.org/I196664497"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087441541","display_name":"M. T. Ram\u00edrez-Torres","orcid":"https://orcid.org/0000-0002-7457-7318"},"institutions":[{"id":"https://openalex.org/I196664497","display_name":"Autonomous University of San Luis Potos\u00ed","ror":"https://ror.org/000917t60","country_code":"MX","type":"education","lineage":["https://openalex.org/I196664497"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"M. T. Ram\u00edrez-Torres","raw_affiliation_strings":["Universidad Aut\u00f3noma de San Luis Potos\u00ed, Coordinaci\u00f3n Acad\u00e9mica Regi\u00f3n Altiplano Oeste, Salinas-Santo Domingo 200, 78600, Salinas, S.L.P, Mexico"],"affiliations":[{"raw_affiliation_string":"Universidad Aut\u00f3noma de San Luis Potos\u00ed, Coordinaci\u00f3n Acad\u00e9mica Regi\u00f3n Altiplano Oeste, Salinas-Santo Domingo 200, 78600, Salinas, S.L.P, Mexico","institution_ids":["https://openalex.org/I196664497"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083995476","display_name":"Jos\u00e9 Mart\u00ednez-Carranza","orcid":"https://orcid.org/0000-0002-8914-1904"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"J. Mart\u00ednez-Carranza","raw_affiliation_strings":["Computer Science Department of the Instituto Nacional de Astrof\u00edsica \u00d3ptica y Electr\u00f3nica, Luis Enrique Erro 1, Sta. Ma. Tonantzintla, 72840, San Andr\u00e9s Cholula, Puebla, Mexico"],"affiliations":[{"raw_affiliation_string":"Computer Science Department of the Instituto Nacional de Astrof\u00edsica \u00d3ptica y Electr\u00f3nica, Luis Enrique Erro 1, Sta. Ma. Tonantzintla, 72840, San Andr\u00e9s Cholula, Puebla, Mexico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031479946","display_name":"J.S. Murgu\u00eda","orcid":"https://orcid.org/0000-0001-7239-8968"},"institutions":[{"id":"https://openalex.org/I196664497","display_name":"Autonomous University of San Luis Potos\u00ed","ror":"https://ror.org/000917t60","country_code":"MX","type":"education","lineage":["https://openalex.org/I196664497"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"J. S. Murgu\u00eda-Ibarra","raw_affiliation_strings":["Universidad Aut\u00f3noma de San Luis Potos\u00ed, Facultad de Ciencias, Chapultepec 1570, Privadas del Pedregal, 78295, San Luis Potos\u00ed, S.L.P., Mexico"],"affiliations":[{"raw_affiliation_string":"Universidad Aut\u00f3noma de San Luis Potos\u00ed, Facultad de Ciencias, Chapultepec 1570, Privadas del Pedregal, 78295, San Luis Potos\u00ed, S.L.P., Mexico","institution_ids":["https://openalex.org/I196664497"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053652190","display_name":"M. Mej\u00eda-Carlos","orcid":"https://orcid.org/0000-0003-2872-9461"},"institutions":[{"id":"https://openalex.org/I196664497","display_name":"Autonomous University of San Luis Potos\u00ed","ror":"https://ror.org/000917t60","country_code":"MX","type":"education","lineage":["https://openalex.org/I196664497"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"M. Mej\u00eda-Carlos","raw_affiliation_strings":["Universidad Aut\u00f3noma de San Luis Potos\u00ed, Facultad de Ciencias-IICO, Karakorum1470, Lomas 4a, 78210, San Luis Potos\u00ed, S.L.P., Mexico"],"affiliations":[{"raw_affiliation_string":"Universidad Aut\u00f3noma de San Luis Potos\u00ed, Facultad de Ciencias-IICO, Karakorum1470, Lomas 4a, 78210, San Luis Potos\u00ed, S.L.P., Mexico","institution_ids":["https://openalex.org/I196664497"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024388629"],"corresponding_institution_ids":["https://openalex.org/I196664497"],"apc_list":null,"apc_paid":null,"fwci":4.142,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.93404661,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"46","issue":"8","first_page":"536","last_page":"547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9988999962806702,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7964809536933899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.777807354927063},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7456413507461548},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6766522526741028},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5578107237815857},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5574594736099243},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5571194887161255},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5504313111305237},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5085200071334839},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4804670214653015},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.45847442746162415},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.4578778147697449},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.4178951680660248},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24824988842010498},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2196807861328125}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7964809536933899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.777807354927063},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7456413507461548},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6766522526741028},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5578107237815857},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5574594736099243},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5571194887161255},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5504313111305237},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5085200071334839},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4804670214653015},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.45847442746162415},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.4578778147697449},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.4178951680660248},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24824988842010498},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2196807861328125}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1134/s0361768820080113","is_oa":false,"landing_page_url":"https://doi.org/10.1134/s0361768820080113","pdf_url":null,"source":{"id":"https://openalex.org/S150218641","display_name":"Programming and Computer Software","issn_l":"0361-7688","issn":["0361-7688","1608-3261"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Programming and Computer Software","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W228380312","https://openalex.org/W639708223","https://openalex.org/W1512748702","https://openalex.org/W1658679052","https://openalex.org/W1686810756","https://openalex.org/W1965728067","https://openalex.org/W2163605009","https://openalex.org/W2167340365","https://openalex.org/W2219445277","https://openalex.org/W2478207761","https://openalex.org/W2577095784","https://openalex.org/W2737081839","https://openalex.org/W2786128974","https://openalex.org/W2792542990","https://openalex.org/W2793540079","https://openalex.org/W2794268423","https://openalex.org/W2794824091","https://openalex.org/W2804323365","https://openalex.org/W2890279507","https://openalex.org/W2891751906","https://openalex.org/W2948800831","https://openalex.org/W2961390542","https://openalex.org/W2963037989","https://openalex.org/W2964842587","https://openalex.org/W2966204135","https://openalex.org/W2987144017","https://openalex.org/W3008611995","https://openalex.org/W3012078714","https://openalex.org/W3106250896","https://openalex.org/W6813809844"],"related_works":["https://openalex.org/W1588899229","https://openalex.org/W2059234650","https://openalex.org/W2767651786","https://openalex.org/W2085792030","https://openalex.org/W1965790332","https://openalex.org/W2075963752","https://openalex.org/W1577789985","https://openalex.org/W2047056993","https://openalex.org/W2088158554","https://openalex.org/W2112061901"],"abstract_inverted_index":{"This":[0,86],"paper":[1],"proposes":[2],"a":[3,17,123,135,148,192,199,212],"first":[4],"approach":[5],"based":[6,43],"on":[7,44],"wavelet":[8,131,173],"analysis":[9,140],"inside":[10],"image":[11,25],"processing":[12],"for":[13,29],"object":[14],"detection":[15,69,197],"with":[16,164],"repetitive":[18],"pattern":[19],"and":[20,70,110,190],"binary":[21],"classification":[22,71],"in":[23,27,31,62,68,82,99,162,171,195,207],"the":[24,54,63,83,92,96,114,128,155,169,172,178,184,188,196,208],"plane,":[26],"particular":[28],"navigation":[30,210],"simulated":[32],"environments.":[33],"To":[34],"date,":[35],"it":[36],"has":[37],"become":[38],"common":[39],"to":[40,49,90,143,167,177],"use":[41,144,168],"algorithms":[42],"convolutional":[45],"neural":[46],"networks":[47],"(CNNs)":[48],"process":[50],"images":[51,77],"obtained":[52],"from":[53],"on-board":[55],"camera":[56],"of":[57,95,116,157,198,211],"unmanned":[58],"aerial":[59,209],"vehicles":[60],"(UAVs)":[61],"spatial":[64],"domain,":[65],"being":[66],"useful":[67],"tasks.":[72],"CNN":[73,117,124,165],"architecture":[74,125],"can":[75],"receive":[76],"without":[78],"pre-processing,":[79],"as":[80,175],"input":[81,176],"training":[84,179],"stage.":[85,180],"advantage":[87],"allows":[88,141],"us":[89,142],"extract":[91],"characteristic":[93],"features":[94],"image.":[97],"Nevertheless,":[98],"this":[100],"work,":[101],"we":[102,121,152],"argue":[103],"that":[104],"characteristics":[105],"at":[106],"different":[107],"frequencies,":[108],"low":[109],"high,":[111],"also":[112],"affect":[113],"performance":[115],"during":[118],"training.":[119],"Thus,":[120],"propose":[122],"complemented":[126],"by":[127],"2D":[129],"discrete":[130],"transform,":[132],"which":[133],"is":[134],"feature":[136],"extraction":[137],"method.":[138],"Wavelet":[139],"time-frequency":[145],"information":[146,170,182],"through":[147],"multiresolution":[149,158],"analysis.":[150],"Therefore,":[151],"have":[153],"investigated":[154],"combination":[156],"analysis,":[159],"via":[160],"wavelets,":[161],"conjunction":[163],"architectures,":[166],"domain":[174],"The":[181],"improves":[183],"learning":[185,203],"capacity,":[186],"eliminates":[187],"overfitting,":[189],"achieves":[191],"better":[193],"efficiency":[194],"target.":[200],"Also,":[201],"our":[202],"model":[204],"was":[205],"evaluated":[206],"drone.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
