{"id":"https://openalex.org/W4291173982","doi":"https://doi.org/10.3390/rs14163857","title":"A Novel Multispectral Line Segment Matching Method Based on Phase Congruency and Multiple Local Homographies","display_name":"A Novel Multispectral Line Segment Matching Method Based on Phase Congruency and Multiple Local Homographies","publication_year":2022,"publication_date":"2022-08-09","ids":{"openalex":"https://openalex.org/W4291173982","doi":"https://doi.org/10.3390/rs14163857"},"language":"en","primary_location":{"id":"doi:10.3390/rs14163857","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163857","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3857/pdf?version=1660125192","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/16/3857/pdf?version=1660125192","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101558903","display_name":"Haochen Hu","orcid":"https://orcid.org/0000-0002-0110-4560"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Haochen Hu","raw_affiliation_strings":["Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-0110-4560","affiliations":[{"raw_affiliation_string":"Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732747","display_name":"Boyang Li","orcid":"https://orcid.org/0000-0002-6900-0901"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Boyang Li","raw_affiliation_strings":["Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-6900-0901","affiliations":[{"raw_affiliation_string":"Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenyu Yang","orcid":"https://orcid.org/0000-0001-7403-9133"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenyu Yang","raw_affiliation_strings":["Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-7403-9133","affiliations":[{"raw_affiliation_string":"Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038976027","display_name":"Chih\u2010Yung Wen","orcid":"https://orcid.org/0000-0002-1181-8786"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chih-Yung Wen","raw_affiliation_strings":["Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-1181-8786","affiliations":[{"raw_affiliation_string":"Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100732747"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":0.243,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.46162047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"14","issue":"16","first_page":"3857","last_page":"3857"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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":0.996399998664856,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9962000250816345,"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/multispectral-image","display_name":"Multispectral image","score":0.8431669473648071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6934433579444885},{"id":"https://openalex.org/keywords/phase-congruency","display_name":"Phase congruency","score":0.6785306334495544},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.6651246547698975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6448460817337036},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5885753035545349},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5469411611557007},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5218476057052612},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5203742384910583},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4929184913635254},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3810848295688629},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29660412669181824},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21357476711273193}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8431669473648071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6934433579444885},{"id":"https://openalex.org/C2777316791","wikidata":"https://www.wikidata.org/wiki/Q17105246","display_name":"Phase congruency","level":3,"score":0.6785306334495544},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.6651246547698975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6448460817337036},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5885753035545349},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5469411611557007},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5218476057052612},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5203742384910583},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4929184913635254},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3810848295688629},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29660412669181824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21357476711273193},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14163857","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163857","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3857/pdf?version=1660125192","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ad73aacc892640a8bffce438cb3bfb3f","is_oa":true,"landing_page_url":"https://doaj.org/article/ad73aacc892640a8bffce438cb3bfb3f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 16, p 3857 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/16/3857/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14163857","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 16; Pages: 3857","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14163857","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163857","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3857/pdf?version=1660125192","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4291173982.pdf","grobid_xml":"https://content.openalex.org/works/W4291173982.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1962010357","https://openalex.org/W1964496203","https://openalex.org/W1974450833","https://openalex.org/W1974880733","https://openalex.org/W2008849352","https://openalex.org/W2012893378","https://openalex.org/W2014710139","https://openalex.org/W2021278996","https://openalex.org/W2085261163","https://openalex.org/W2117228865","https://openalex.org/W2130951370","https://openalex.org/W2145267071","https://openalex.org/W2148504681","https://openalex.org/W2151103935","https://openalex.org/W2184279550","https://openalex.org/W2185786809","https://openalex.org/W2236419220","https://openalex.org/W2294464339","https://openalex.org/W2340546455","https://openalex.org/W2468674378","https://openalex.org/W2520920593","https://openalex.org/W2543234964","https://openalex.org/W2571981115","https://openalex.org/W2589547048","https://openalex.org/W2736527903","https://openalex.org/W2752130971","https://openalex.org/W2801667530","https://openalex.org/W2895623479","https://openalex.org/W2899147955","https://openalex.org/W2899761469","https://openalex.org/W2902731423","https://openalex.org/W2909424699","https://openalex.org/W2940702946","https://openalex.org/W2942911839","https://openalex.org/W2963200201","https://openalex.org/W2996444841","https://openalex.org/W3003913300","https://openalex.org/W3043075211","https://openalex.org/W3090517880","https://openalex.org/W3111829476","https://openalex.org/W3125136331","https://openalex.org/W3200807054","https://openalex.org/W4210761550","https://openalex.org/W4214568521","https://openalex.org/W4281717589","https://openalex.org/W4283451728","https://openalex.org/W4285005391","https://openalex.org/W6640974819"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W2981196697","https://openalex.org/W3012182724","https://openalex.org/W2115876589","https://openalex.org/W1988708904","https://openalex.org/W2091196744","https://openalex.org/W1584718735","https://openalex.org/W2135013219","https://openalex.org/W1892302881"],"abstract_inverted_index":{"Feature":[0],"matching":[1,33,129,171,183,221],"is":[2,136,188],"a":[3,29],"fundamental":[4],"procedure":[5],"in":[6,12,57,106],"several":[7],"image":[8,45],"processing":[9],"methods":[10,130],"applied":[11],"remote":[13],"sensing.":[14],"Multispectral":[15],"sensors":[16,51],"with":[17,125,155],"different":[18],"wavelengths":[19],"can":[20,144,209],"provide":[21],"complementary":[22],"information.":[23],"In":[24],"this":[25],"work,":[26],"we":[27],"propose":[28],"multispectral":[30,156,218],"line":[31,89,128,162,166,177,219],"segment":[32,90,220],"algorithm":[34],"based":[35],"on":[36],"phase":[37,70],"congruency":[38],"and":[39,54,66,101,143,165,179,195,217],"multiple":[40,148],"local":[41,74,149],"homographies":[42,75],"(PC-MLH)":[43],"for":[44,132,169],"pairs":[46],"captured":[47],"by":[48],"the":[49,110,126,146,173,182,201],"cross-spectrum":[50],"(visible":[52],"spectrum":[53],"infrared":[55],"spectrum)":[56],"man-made":[58],"scenarios.":[59],"The":[60,113,186,197],"feature":[61,80,157],"points":[62,81],"are":[63,76,104,120],"first":[64],"extracted":[65],"matched":[67,176],"according":[68],"to":[69,87,108],"congruency.":[71],"Next,":[72],"multi-layer":[73],"derived":[77],"from":[78],"clustered":[79],"via":[82],"random":[83],"sample":[84],"consensus":[85],"(RANSAC)":[86],"guide":[88],"matching.":[91,158],"Moreover,":[92],"three":[93],"geometric":[94],"constraints":[95],"(line":[96],"position":[97,167],"encoding,":[98],"overlap":[99],"ratio,":[100],"point-to-line":[102],"distance)":[103],"introduced":[105],"cascade":[107],"reduce":[109],"computational":[111],"complexity.":[112],"two":[114,151,191],"main":[115],"contributions":[116],"of":[117,161,175,203],"our":[118],"work":[119],"as":[121],"follows:":[122],"First,":[123],"compared":[124],"conventional":[127],"designed":[131],"single-spectrum":[133],"images,":[134],"PC-MLH":[135,208],"robust":[137],"against":[138],"nonlinear":[139],"radiation":[140],"distortion":[141],"(NRD)":[142],"handle":[145],"unknown":[147],"mapping,":[150],"common":[152],"challenges":[153],"associated":[154],"Second,":[159],"fusion":[160],"extraction":[163],"results":[164,198],"encoding":[168],"neighbouring":[170],"increase":[172],"number":[174],"segments":[178],"speed":[180],"up":[181],"process,":[184],"respectively.":[185],"method":[187],"validated":[189],"using":[190,207],"public":[192],"datasets,":[193],"CVC-multimodal":[194],"VIS-IR.":[196],"show":[199],"that":[200],"percentage":[202],"correct":[204],"matches":[205],"(PCM)":[206],"reach":[210],"94%,":[211],"which":[212],"significantly":[213],"outperforms":[214],"other":[215],"single-spectral":[216],"methods.":[222]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2022-08-13T00:00:00"}