{"id":"https://openalex.org/W2773652592","doi":"https://doi.org/10.1109/igarss.2017.8127524","title":"Registration of textured remote sensing images using directional Gabor frames","display_name":"Registration of textured remote sensing images using directional Gabor frames","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2773652592","doi":"https://doi.org/10.1109/igarss.2017.8127524","mag":"2773652592"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8127524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5112747549","display_name":"Hannah Olson","orcid":"https://orcid.org/0000-0002-1334-5396"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hannah Olson","raw_affiliation_strings":["Mathematics Department, University of Maryland, College Park, MD, 20742, USA","Mathematics Department, University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics Department, University of Maryland, College Park, MD, 20742, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Mathematics Department, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041174484","display_name":"Wojciech Czaja","orcid":"https://orcid.org/0000-0002-9956-1881"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wojciech Czaja","raw_affiliation_strings":["Mathematics Department, University of Maryland, College Park, MD, 20742, USA","Mathematics Department, University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics Department, University of Maryland, College Park, MD, 20742, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Mathematics Department, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028184718","display_name":"Jacqueline Le Moigne","orcid":"https://orcid.org/0000-0001-6055-3625"},"institutions":[{"id":"https://openalex.org/I1306266525","display_name":"Goddard Space Flight Center","ror":"https://ror.org/0171mag52","country_code":"US","type":"facility","lineage":["https://openalex.org/I1306266525","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacqueline Le Moigne","raw_affiliation_strings":["Software Engineering Division, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA","Software Engineering Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software Engineering Division, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA","institution_ids":["https://openalex.org/I1306266525"]},{"raw_affiliation_string":"Software Engineering Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA","institution_ids":["https://openalex.org/I1306266525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1592,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53700726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2585","last_page":"2588"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9980999827384949,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9980999827384949,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980000257492065,"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/T10052","display_name":"Medical Image Segmentation Techniques","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/gabor-wavelet","display_name":"Gabor wavelet","score":0.8274607062339783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7708227634429932},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7208521366119385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6183038353919983},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5932498574256897},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5549696087837219},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5370658040046692},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5121564865112305},{"id":"https://openalex.org/keywords/gabor-transform","display_name":"Gabor transform","score":0.46624818444252014},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.4429854452610016},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4225502610206604},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.42196351289749146},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3676624298095703},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.3512119650840759},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.3420508801937103},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3373163342475891},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.31901615858078003},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.18869265913963318}],"concepts":[{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.8274607062339783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7708227634429932},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7208521366119385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6183038353919983},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5932498574256897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5549696087837219},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5370658040046692},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5121564865112305},{"id":"https://openalex.org/C173149727","wikidata":"https://www.wikidata.org/wiki/Q996397","display_name":"Gabor transform","level":4,"score":0.46624818444252014},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.4429854452610016},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4225502610206604},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.42196351289749146},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3676624298095703},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.3512119650840759},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3420508801937103},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3373163342475891},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.31901615858078003},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.18869265913963318},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/igarss.2017.8127524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:casi.ntrs.nasa.gov:20180004233","is_oa":false,"landing_page_url":"http://hdl.handle.net/2060/20180004233","pdf_url":null,"source":{"id":"https://openalex.org/S4377196257","display_name":"NASA STI Repository (National Aeronautics and Space Administration)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210124779","host_organization_name":"National Aeronautics and Space Administration","host_organization_lineage":["https://openalex.org/I4210124779"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CASI","raw_type":"GSFC-E-DAA-TN44882"},{"id":"pmh:oai:casi.ntrs.nasa.gov:20180004656","is_oa":false,"landing_page_url":"http://hdl.handle.net/2060/20180004656","pdf_url":null,"source":{"id":"https://openalex.org/S4377196257","display_name":"NASA STI Repository (National Aeronautics and Space Administration)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210124779","host_organization_name":"National Aeronautics and Space Administration","host_organization_lineage":["https://openalex.org/I4210124779"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CASI","raw_type":"GSFC-E-DAA-TN43202"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1987221625","https://openalex.org/W2008136542","https://openalex.org/W2041950721","https://openalex.org/W2072157326","https://openalex.org/W2090950416","https://openalex.org/W2152501071","https://openalex.org/W2290958930","https://openalex.org/W6646799890"],"related_works":["https://openalex.org/W2070838085","https://openalex.org/W2495360253","https://openalex.org/W3156532881","https://openalex.org/W2382852560","https://openalex.org/W2355879620","https://openalex.org/W1830749786","https://openalex.org/W2066448268","https://openalex.org/W3016960874","https://openalex.org/W2162496653","https://openalex.org/W2373012758"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"to":[5,26,66],"utilize":[6],"a":[7],"new":[8],"concept":[9],"of":[10],"discrete":[11,53],"directional":[12,20,33,54],"Gabor":[13,21,55],"frames":[14,56],"for":[15,36],"automatic":[16],"image":[17,70],"registration.":[18],"The":[19],"representations":[22],"have":[23],"been":[24],"shown":[25],"provide":[27],"more":[28],"accurate":[29],"feature":[30],"extraction":[31],"than":[32],"wavelet":[34],"transforms":[35],"images":[37],"where":[38],"texture":[39],"is":[40],"the":[41,68],"dominant":[42],"feature.":[43],"Initial":[44],"experimental":[45],"results":[46],"are":[47,64],"presented":[48],"here":[49],"which":[50,60],"indicate":[51],"that":[52,62],"exhibit":[57],"strong":[58],"correlations,":[59],"indicates":[61],"they":[63],"likely":[65],"improve":[67],"existing":[69],"registration":[71],"toolbox.":[72]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}