{"id":"https://openalex.org/W4413267717","doi":"https://doi.org/10.1109/jstars.2025.3593386","title":"OS-PCMM: Automatic Registration Algorithm for Optical and SAR Image Based on Phase Congruency and Multimoment Feature","display_name":"OS-PCMM: Automatic Registration Algorithm for Optical and SAR Image Based on Phase Congruency and Multimoment Feature","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413267717","doi":"https://doi.org/10.1109/jstars.2025.3593386"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3593386","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3593386","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2025.3593386","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103228896","display_name":"Liang Yuan","orcid":"https://orcid.org/0000-0001-5494-1250"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Liang","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101972883","display_name":"Tao Su","orcid":"https://orcid.org/0000-0003-1529-4198"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Su","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086014775","display_name":"R. F. Wang","orcid":"https://orcid.org/0009-0003-1040-9766"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqiu Wang","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074330724","display_name":"Jiangtao Liu","orcid":"https://orcid.org/0000-0002-6176-1538"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Liu","raw_affiliation_strings":["School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","School of Information and Communications Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Information and Communications Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103228896"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19245183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"20418","last_page":"20440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9435999989509583,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9435999989509583,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9273999929428101,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12549","display_name":"Image and Object Detection Techniques","score":0.9200000166893005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7032880187034607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6284445524215698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6122204661369324},{"id":"https://openalex.org/keywords/phase-congruency","display_name":"Phase congruency","score":0.5826524496078491},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.5624023079872131},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.52435302734375},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5094898343086243},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5088672637939453},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5087161660194397},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4873810410499573},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.4819195568561554},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4708383083343506},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43590667843818665},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13741904497146606}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7032880187034607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6284445524215698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6122204661369324},{"id":"https://openalex.org/C2777316791","wikidata":"https://www.wikidata.org/wiki/Q17105246","display_name":"Phase congruency","level":3,"score":0.5826524496078491},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.5624023079872131},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.52435302734375},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5094898343086243},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5088672637939453},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5087161660194397},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4873810410499573},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.4819195568561554},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4708383083343506},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43590667843818665},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13741904497146606},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3593386","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3593386","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5165ee8e98504231aff2aa25a57f91e9","is_oa":true,"landing_page_url":"https://doaj.org/article/5165ee8e98504231aff2aa25a57f91e9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 20418-20440 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3593386","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3593386","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8842644022","display_name":null,"funder_award_id":"62271319","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W1972731536","https://openalex.org/W1980113665","https://openalex.org/W2002260191","https://openalex.org/W2030233108","https://openalex.org/W2034872721","https://openalex.org/W2079700955","https://openalex.org/W2115072079","https://openalex.org/W2118113978","https://openalex.org/W2144123711","https://openalex.org/W2144502914","https://openalex.org/W2147555557","https://openalex.org/W2150134853","https://openalex.org/W2151103935","https://openalex.org/W2164822588","https://openalex.org/W2170282673","https://openalex.org/W2177274842","https://openalex.org/W2557974672","https://openalex.org/W2559871160","https://openalex.org/W2590500019","https://openalex.org/W2792119716","https://openalex.org/W2795346137","https://openalex.org/W2810454813","https://openalex.org/W2885031029","https://openalex.org/W2887116847","https://openalex.org/W2913429812","https://openalex.org/W2946382053","https://openalex.org/W2971888276","https://openalex.org/W2996444841","https://openalex.org/W3010777628","https://openalex.org/W3047057232","https://openalex.org/W3083799279","https://openalex.org/W3086184797","https://openalex.org/W3087985223","https://openalex.org/W3094092030","https://openalex.org/W3098156937","https://openalex.org/W3114674012","https://openalex.org/W3156527559","https://openalex.org/W3159453912","https://openalex.org/W3175531063","https://openalex.org/W3197101860","https://openalex.org/W3201629667","https://openalex.org/W3207760153","https://openalex.org/W3216504652","https://openalex.org/W4200384333","https://openalex.org/W4221141078","https://openalex.org/W4281696432","https://openalex.org/W4282969595","https://openalex.org/W4290715643","https://openalex.org/W4292970248","https://openalex.org/W4293444968","https://openalex.org/W4295934974","https://openalex.org/W4312649969","https://openalex.org/W4313398693","https://openalex.org/W4321021048","https://openalex.org/W4362474897","https://openalex.org/W4381597786","https://openalex.org/W4383337627","https://openalex.org/W4385603024","https://openalex.org/W4386633936","https://openalex.org/W4386840486","https://openalex.org/W4387272088","https://openalex.org/W4388262903","https://openalex.org/W4390187461","https://openalex.org/W4390670352","https://openalex.org/W4390827834","https://openalex.org/W4391872876","https://openalex.org/W4393034369","https://openalex.org/W4393560223","https://openalex.org/W4395096408","https://openalex.org/W4400579903","https://openalex.org/W4401091101","https://openalex.org/W4405769242","https://openalex.org/W4406209008","https://openalex.org/W6640974819","https://openalex.org/W6674754800"],"related_works":["https://openalex.org/W2351341560","https://openalex.org/W3187450193","https://openalex.org/W2057947461","https://openalex.org/W2020537709","https://openalex.org/W2360472014","https://openalex.org/W2991788066","https://openalex.org/W3133638330","https://openalex.org/W1584718735","https://openalex.org/W2135013219","https://openalex.org/W1892302881"],"abstract_inverted_index":{"Optical-SAR":[0],"image":[1,160],"registration":[2,43],"has":[3],"wide":[4],"applications":[5],"in":[6,17,158],"change":[7],"detection":[8,117],"and":[9,20,47,54,70,86,91,103,111,150,156,177],"disaster":[10],"early":[11],"warning.":[12],"However,":[13],"the":[14,24,77,84,94,140,170],"significant":[15],"differences":[16],"noise":[18],"characteristics":[19],"radiometric":[21,110],"properties":[22],"between":[23],"two":[25],"types":[26],"of":[27],"images":[28,49],"remain":[29],"major":[30],"challenges":[31],"for":[32,45],"achieving":[33],"accurate":[34],"registration.":[35],"In":[36],"this":[37],"article,":[38],"we":[39,82,138],"propose":[40],"an":[41],"automatic":[42],"algorithm":[44,173],"optical":[46],"SAR":[48],"based":[50],"on":[51,76,121,164],"phase":[52,72,79,95],"congruency":[53,73,80,96],"multimoment":[55,141],"features.":[56],"First,":[57],"a":[58,127],"multiangle":[59],"bandwidth":[60],"log-Gabor":[61],"filter":[62],"bank":[63],"is":[64,119],"designed":[65],"to":[66,109,130,180],"enhance":[67],"structural":[68],"details":[69],"extract":[71],"information.":[74],"Based":[75],"enhanced":[78],"map,":[81],"compute":[83],"maximum":[85],"minimum":[87],"moment":[88,123],"maps":[89],"(MaxMM":[90],"MinMM)":[92],"from":[93,148],"responses,":[97],"which,":[98],"respectively,":[99],"capture":[100],"salient":[101],"edge":[102],"corner":[104],"features":[105],"that":[106,169],"are":[107],"robust":[108],"geometric":[112],"variations.":[113],"A":[114],"novel":[115],"feature":[116,136],"strategy":[118],"applied":[120],"these":[122],"maps,":[124],"followed":[125],"by":[126],"voting":[128],"mechanism":[129],"select":[131],"highly":[132],"stable":[133],"keypoints.":[134],"For":[135],"description,":[137],"introduce":[139],"orientation":[142],"histogram,":[143],"which":[144],"concatenates":[145],"histograms":[146],"computed":[147],"MaxMM":[149],"MinMM,":[151],"significantly":[152],"improving":[153],"both":[154],"robustness":[155,178],"distinctiveness":[157],"heterogeneous":[159],"matching.":[161],"Comprehensive":[162],"experiments":[163],"real-world":[165],"multisource":[166],"datasets":[167],"demonstrate":[168],"proposed":[171],"OS-PCMM":[172],"achieves":[174],"superior":[175],"accuracy":[176],"compared":[179],"state-of-the-art":[181],"methods.":[182]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
