{"id":"https://openalex.org/W2991050648","doi":"https://doi.org/10.3390/rs11232836","title":"Matching RGB and Infrared Remote Sensing Images with Densely-Connected Convolutional Neural Networks","display_name":"Matching RGB and Infrared Remote Sensing Images with Densely-Connected Convolutional Neural Networks","publication_year":2019,"publication_date":"2019-11-29","ids":{"openalex":"https://openalex.org/W2991050648","doi":"https://doi.org/10.3390/rs11232836","mag":"2991050648"},"language":"en","primary_location":{"id":"doi:10.3390/rs11232836","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11232836","pdf_url":"https://www.mdpi.com/2072-4292/11/23/2836/pdf?version=1575015810","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/2072-4292/11/23/2836/pdf?version=1575015810","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018678135","display_name":"Ruojin Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruojin Zhu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014956377","display_name":"Dawen Yu","orcid":"https://orcid.org/0000-0003-3515-1602"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawen Yu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031588692","display_name":"Shunping Ji","orcid":"https://orcid.org/0000-0002-3088-1481"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shunping Ji","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078532329","display_name":"Meng L\u00fc","orcid":"https://orcid.org/0000-0002-6850-581X"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Meng Lu","raw_affiliation_strings":["Department of Physical Geography, Faculty of Geoscience, Utrecht University, Princetonlaan 8, 3584 CB Utrecht, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Physical Geography, Faculty of Geoscience, Utrecht University, Princetonlaan 8, 3584 CB Utrecht, The Netherlands","institution_ids":["https://openalex.org/I193662353"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031588692"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.0437,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.90000632,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"11","issue":"23","first_page":"2836","last_page":"2836"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9990000128746033,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9958000183105469,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8093104362487793},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7591663002967834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.744732677936554},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6016978025436401},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5679469108581543},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5589002370834351},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4767889976501465},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44834065437316895},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43868282437324524},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4199441075325012},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28503310680389404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19959136843681335},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08004915714263916}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8093104362487793},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7591663002967834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.744732677936554},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6016978025436401},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5679469108581543},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5589002370834351},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4767889976501465},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44834065437316895},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43868282437324524},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4199441075325012},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28503310680389404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19959136843681335},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08004915714263916},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs11232836","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11232836","pdf_url":"https://www.mdpi.com/2072-4292/11/23/2836/pdf?version=1575015810","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:eref.uni-bayreuth.de:66646","is_oa":false,"landing_page_url":"https://eref.uni-bayreuth.de/66646/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196442","display_name":"ERef Bayreuth (University of Bayreuth)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I54009628","host_organization_name":"University of Bayreuth","host_organization_lineage":["https://openalex.org/I54009628"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Artikel in einer Zeitschrift"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/23/2836/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11232836","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 11; Issue 23; Pages: 2836","raw_type":"Text"},{"id":"pmh:uu:oai:dspace.library.uu.nl:1874/390240","is_oa":true,"landing_page_url":"https://dspace.library.uu.nl/handle/1874/390240","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, 11(23). Multidisciplinary Digital Publishing Institute","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/rs11232836","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11232836","pdf_url":"https://www.mdpi.com/2072-4292/11/23/2836/pdf?version=1575015810","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/W2991050648.pdf","grobid_xml":"https://content.openalex.org/works/W2991050648.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W190584210","https://openalex.org/W1504108853","https://openalex.org/W1533861849","https://openalex.org/W1677409904","https://openalex.org/W1772650917","https://openalex.org/W1929856797","https://openalex.org/W1955055330","https://openalex.org/W1964057156","https://openalex.org/W1972731536","https://openalex.org/W1992456892","https://openalex.org/W2012893378","https://openalex.org/W2050436472","https://openalex.org/W2052094314","https://openalex.org/W2055913573","https://openalex.org/W2059905564","https://openalex.org/W2114147217","https://openalex.org/W2133665775","https://openalex.org/W2136981502","https://openalex.org/W2144041313","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W2160072137","https://openalex.org/W2183341477","https://openalex.org/W2336389177","https://openalex.org/W2468674378","https://openalex.org/W2523746035","https://openalex.org/W2547675204","https://openalex.org/W2559871160","https://openalex.org/W2589547048","https://openalex.org/W2596901677","https://openalex.org/W2625291004","https://openalex.org/W2762410434","https://openalex.org/W2770945400","https://openalex.org/W2781778455","https://openalex.org/W2791873954","https://openalex.org/W2796284848","https://openalex.org/W2801667530","https://openalex.org/W2807771925","https://openalex.org/W2811146926","https://openalex.org/W2886287389","https://openalex.org/W2898848437","https://openalex.org/W2914661773","https://openalex.org/W2921571372","https://openalex.org/W2948182274","https://openalex.org/W2951060728","https://openalex.org/W2963775347","https://openalex.org/W2963855133","https://openalex.org/W3125136331","https://openalex.org/W3145984249","https://openalex.org/W3154811403","https://openalex.org/W6631943919","https://openalex.org/W6648435434"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W4390494008","https://openalex.org/W2922442631","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911","https://openalex.org/W2106540031"],"abstract_inverted_index":{"We":[0],"develop":[1],"a":[2,27,41,51,59,83,119,130,157],"deep":[3],"learning-based":[4],"matching":[5,153,174],"method":[6,25,167,220],"between":[7],"an":[8,15,96],"RGB":[9,35,110,124,159],"(red,":[10],"green":[11],"and":[12,14,36,40,95,111,117,125,144,160,195,197,215,227],"blue)":[13],"infrared":[16,37,112,126,161],"image":[17,38,57,127,162],"that":[18,32,45,165],"were":[19],"captured":[20],"from":[21,75],"satellite":[22,158],"sensors.":[23],"The":[24,79,105],"includes":[26],"convolutional":[28],"neural":[29],"network":[30,80,106],"(CNN)":[31],"compares":[33],"the":[34,47,55,63,115,123,134,138,145,148,152,179,185],"pair":[39],"template":[42],"searching":[43],"strategy":[44],"searches":[46],"correspondent":[48],"point":[49,61],"within":[50,137],"search":[52,139],"window":[53,140],"in":[54,62],"target":[56],"to":[58,71,88,101,183,203,222],"given":[60,131],"reference":[64,132,186],"image.":[65],"A":[66],"densely-connected":[67,86],"CNN":[68],"is":[69],"developed":[70],"extract":[72],"common":[73],"features":[74,94],"different":[76],"spectral":[77],"bands.":[78],"consists":[81],"of":[82,85,92,122,178,218],"series":[84],"convolutions":[87],"make":[89],"full":[90],"use":[91],"low-level":[93],"augmented":[97],"cross":[98],"entropy":[99],"loss":[100],"avoid":[102],"model":[103],"overfitting.":[104],"takes":[107],"band-wise":[108],"concatenated":[109],"images":[113,226],"as":[114,192],"input":[116],"outputs":[118],"similarity":[120,135],"score":[121,150],"pair.":[128],"For":[129],"point,":[133],"scores":[136],"are":[141],"calculated":[142],"pixel-by-pixel,":[143],"pixel":[146],"with":[147],"highest":[149],"becomes":[151],"candidate.":[154],"Experiments":[155],"on":[156,173],"dataset":[163],"demonstrated":[164,212],"our":[166,219],"obtained":[168],"more":[169,198],"than":[170,199],"75%":[171],"improvement":[172,201],"rate":[175],"(the":[176],"ratio":[177],"successfully":[180],"matched":[181],"points":[182],"all":[184],"points)":[187],"over":[188],"conventional":[189],"methods":[190],"such":[191],"SURF,":[193],"RIFT,":[194],"PSO-SIFT,":[196],"10%":[200],"compared":[202],"other":[204],"most":[205],"recent":[206],"CNN-based":[207],"structures.":[208],"Our":[209],"experiments":[210],"also":[211],"high":[213],"performance":[214],"generalization":[216],"ability":[217],"applying":[221],"multitemporal":[223],"remote":[224],"sensing":[225],"close-range":[228],"images.":[229]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2019-12-05T00:00:00"}