{"id":"https://openalex.org/W3206806767","doi":"https://doi.org/10.1109/igarss47720.2021.9553021","title":"Invariant Submerged Material Recognition with Fluorescence Lidar and Sparsity-Based Approaches","display_name":"Invariant Submerged Material Recognition with Fluorescence Lidar and Sparsity-Based Approaches","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3206806767","doi":"https://doi.org/10.1109/igarss47720.2021.9553021","mag":"3206806767"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},"type":"conference-paper","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/A5073606309","display_name":"Stefania Matteoli","orcid":"https://orcid.org/0000-0001-6940-9881"},"institutions":[{"id":"https://openalex.org/I4210100607","display_name":"Institute of Electronics, Computer and Telecommunication Engineering","ror":"https://ror.org/00n4jbh84","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefania Matteoli","raw_affiliation_strings":["National Research Council (CNR), Institute of Electronics Information Engineering and Telecommunications (IEIIT), Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council (CNR), Institute of Electronics Information Engineering and Telecommunications (IEIIT), Pisa, Italy","institution_ids":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089641976","display_name":"Giovanni Corsini","orcid":"https://orcid.org/0000-0002-9366-2470"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]},{"id":"https://openalex.org/I4210100607","display_name":"Institute of Electronics, Computer and Telecommunication Engineering","ror":"https://ror.org/00n4jbh84","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Corsini","raw_affiliation_strings":["National Research Council (CNR), Institute of Electronics Information Engineering and Telecommunications (IEIIT), Pisa, Italy","University of Pisa, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council (CNR), Institute of Electronics Information Engineering and Telecommunications (IEIIT), Pisa, Italy","institution_ids":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]},{"raw_affiliation_string":"University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064336799","display_name":"Marco Diani","orcid":"https://orcid.org/0000-0003-1520-1991"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco Diani","raw_affiliation_strings":["Italian Naval Academy, Livorno, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Italian Naval Academy, Livorno, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"5327","last_page":"5330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9843000173568726,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/invariant","display_name":"Invariant (physics)","score":0.709307074546814},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6808551549911499},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6574116945266724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5749127268791199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5165321230888367},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.47913119196891785},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.47705450654029846},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.42628684639930725},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3312909007072449},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2563706338405609},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2337704300880432},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.18460941314697266},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07213953137397766}],"concepts":[{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.709307074546814},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6808551549911499},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6574116945266724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5749127268791199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5165321230888367},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.47913119196891785},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.47705450654029846},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.42628684639930725},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3312909007072449},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2563706338405609},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2337704300880432},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.18460941314697266},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07213953137397766},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1161094","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1161094","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.49000000953674316,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1964717841","https://openalex.org/W1984621281","https://openalex.org/W1992701858","https://openalex.org/W2015502614","https://openalex.org/W2119480846","https://openalex.org/W2122825543","https://openalex.org/W2132387775","https://openalex.org/W2135046866","https://openalex.org/W2159602351","https://openalex.org/W2985837225","https://openalex.org/W2991488473","https://openalex.org/W3195362687"],"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/W1637798125","https://openalex.org/W2367926634"],"abstract_inverted_index":{"This":[0,36],"work":[1],"deals":[2],"with":[3,8],"submerged":[4],"object":[5],"recognition":[6],"methodologies":[7],"fluorescence":[9],"LIDAR":[10],"that":[11,80],"can":[12,83],"be":[13,84],"applied":[14],"when":[15],"no":[16],"prior":[17],"information":[18],"about":[19],"environmental":[20],"conditions":[21],"is":[22,61],"available.":[23],"Previous":[24],"invariant":[25],"methods":[26,82],"rely":[27],"upon":[28],"conventional":[29],"unconstrained":[30],"and":[31,54,65,89],"constrained":[32],"subspace":[33],"projection":[34],"concepts.":[35],"paper":[37],"investigates":[38],"application":[39],"of":[40,74],"sparsity-based":[41,81],"concepts":[42],"within":[43],"this":[44,87],"framework.":[45],"A":[46],"method":[47],"enforcing":[48],"both":[49],"L":[50,55],"<inf":[51,56],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[52,57],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</inf>":[53],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</inf>":[58],"norm":[59],"penalties":[60],"investigated.":[62],"Both":[63],"synthetic":[64],"real":[66],"data":[67],"are":[68],"employed":[69],"to":[70],"evaluate":[71],"the":[72,75],"potential":[73],"method.":[76],"Experimental":[77],"results":[78],"reveal":[79],"useful":[85],"in":[86],"context":[88],"deserve":[90],"further":[91],"investigation.":[92]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
