{"id":"https://openalex.org/W4288769057","doi":"https://doi.org/10.1109/lgrs.2022.3194892","title":"Multimodal Registration of Optical Images and Digital Elevation Models Using Terrain Features","display_name":"Multimodal Registration of Optical Images and Digital Elevation Models Using Terrain Features","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4288769057","doi":"https://doi.org/10.1109/lgrs.2022.3194892"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3194892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3194892","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","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/A5112595520","display_name":"Jiayang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayang Zhao","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","School of Geography and Information Engineering, China University of Geosciences, No. 68 Jincheng Street, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, No. 68 Jincheng Street, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100647778","display_name":"Hui Li","orcid":"https://orcid.org/0000-0001-9275-5408"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","School of Geography and Information Engineering, China University of Geosciences, No. 68 Jincheng Street, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9275-5408","affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, No. 68 Jincheng Street, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":0.1958,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.45314608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9987000226974487,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9943000078201294,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8118146061897278},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7586129307746887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7101318836212158},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5982943177223206},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5619511604309082},{"id":"https://openalex.org/keywords/subpixel-rendering","display_name":"Subpixel rendering","score":0.4913996458053589},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.4894498884677887},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.44961848855018616},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.4412734806537628},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41822394728660583},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40216854214668274},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.22609972953796387},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22137451171875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18255597352981567},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1018078625202179}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8118146061897278},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7586129307746887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7101318836212158},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5982943177223206},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5619511604309082},{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.4913996458053589},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.4894498884677887},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.44961848855018616},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.4412734806537628},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41822394728660583},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40216854214668274},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.22609972953796387},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22137451171875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18255597352981567},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1018078625202179},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3194892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3194892","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G111500537","display_name":null,"funder_award_id":"41201429","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6665164914","display_name":null,"funder_award_id":"41391240191","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":21,"referenced_works":["https://openalex.org/W2018123352","https://openalex.org/W2040114009","https://openalex.org/W2047101710","https://openalex.org/W2052094314","https://openalex.org/W2070240696","https://openalex.org/W2085288093","https://openalex.org/W2101623247","https://openalex.org/W2124404372","https://openalex.org/W2151103935","https://openalex.org/W2167538622","https://openalex.org/W2744292450","https://openalex.org/W2887116847","https://openalex.org/W2917905493","https://openalex.org/W2996444841","https://openalex.org/W3048631361","https://openalex.org/W3091804882","https://openalex.org/W3102692100","https://openalex.org/W3134976640","https://openalex.org/W3188333065","https://openalex.org/W4242237682","https://openalex.org/W4283717616"],"related_works":["https://openalex.org/W2369528593","https://openalex.org/W2385629811","https://openalex.org/W1982211112","https://openalex.org/W1967071448","https://openalex.org/W2089006188","https://openalex.org/W1563182311","https://openalex.org/W138041562","https://openalex.org/W2156395569","https://openalex.org/W4312759412","https://openalex.org/W3015686902"],"abstract_inverted_index":{"Registration":[0],"of":[1,67,106,151,175,181,188,200],"multimodal":[2,90,201],"images":[3,39,153,171],"such":[4,72],"as":[5,82],"optical":[6,38,69,86,96],"data":[7,97],"and":[8,40,98,133],"digital":[9],"elevation":[10],"models":[11],"(DEM)":[12],"is":[13,55,92,115,184],"a":[14,32,52,138,194],"challenging":[15],"task":[16],"due":[17],"to":[18,36,48,102,117,185],"significant":[19],"non-linear":[20],"differences":[21],"between":[22],"these":[23,50],"images.":[24,123,202],"To":[25],"address":[26],"the":[27,59,65,68,85,89,95,99,104,121,128,198],"problem,":[28],"this":[29,163],"paper":[30],"proposes":[31],"new":[33,195],"robust":[34,167],"approach":[35],"integrate":[37],"DEMs":[41],"by":[42,61,77],"using":[43,137],"terrain":[44,189],"features.":[45],"In":[46],"order":[47],"detect":[49,118],"features,":[51],"simulated":[53,100],"image":[54,70,101],"generated":[56],"based":[57],"on":[58,94,148],"DEM":[60],"illuminating":[62],"it":[63],"in":[64,84],"geometry":[66],"acquisition,":[71],"that":[73,162],"typical":[74],"textures":[75],"induced":[76],"topography":[78],"are":[79,125,135],"well":[80],"present":[81],"those":[83],"image.":[87],"Hence,":[88],"registration":[91,168],"performed":[93],"maximize":[103],"accuracy":[105],"feature":[107],"matching.":[108],"The":[109,142,179],"Affine":[110],"Scale-Invariant":[111],"Feature":[112],"Transform":[113],"(ASIFT)":[114],"used":[116],"keypoints":[119],"from":[120],"two":[122],"Correspondences":[124],"matched":[126],"through":[127],"nearest":[129],"neighbor":[130],"distance":[131],"ratio,":[132],"outliers":[134],"removed":[136],"two-step":[139],"elimination":[140],"procedure.":[141],"proposed":[143,182],"method":[144,164,183],"has":[145],"been":[146],"tested":[147],"five":[149],"pairs":[150],"optical-DEM":[152,170],"with":[154,172],"various":[155],"spatial":[156],"resolutions.":[157],"Experimental":[158],"results":[159],"have":[160],"shown":[161],"can":[165],"provide":[166],"for":[169,191,197],"high":[173],"accuracies":[174],"sub":[176],"pixel":[177],"level.":[178],"novelty":[180],"make":[186],"use":[187],"features":[190],"registration,":[192],"providing":[193],"perspective":[196],"integration":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}