{"id":"https://openalex.org/W2070013799","doi":"https://doi.org/10.1109/isspit.2013.6781899","title":"A new pixel shiftmap prediction method based on Generalized Regression Neural Network","display_name":"A new pixel shiftmap prediction method based on Generalized Regression Neural Network","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2070013799","doi":"https://doi.org/10.1109/isspit.2013.6781899","mag":"2070013799"},"language":"en","primary_location":{"id":"doi:10.1109/isspit.2013.6781899","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2013.6781899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Symposium on Signal Processing and Information Technology","raw_type":"proceedings-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/A5043781604","display_name":"Kalyan Kumar Halder","orcid":"https://orcid.org/0009-0001-4741-5911"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I4394709116","display_name":"UNSW Canberra","ror":"https://ror.org/0125wpx05","country_code":null,"type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I4394709116"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kalyan Kumar Halder","raw_affiliation_strings":["School of Engineering and Information Technology, The University of New South Wales, Canberra, Australia","[School of Engineering and Information Technology, University of New South, Wales Canberra, ACT, Australia]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, The University of New South Wales, Canberra, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]},{"raw_affiliation_string":"[School of Engineering and Information Technology, University of New South, Wales Canberra, ACT, Australia]","institution_ids":["https://openalex.org/I31746571","https://openalex.org/I4394709116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062579226","display_name":"Murat Tahtal\u0131","orcid":"https://orcid.org/0000-0003-4702-4002"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I4394709116","display_name":"UNSW Canberra","ror":"https://ror.org/0125wpx05","country_code":null,"type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I4394709116"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Murat Tahtali","raw_affiliation_strings":["School of Engineering and Information Technology, The University of New South Wales, Canberra, Australia","[School of Engineering and Information Technology, University of New South, Wales Canberra, ACT, Australia]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, The University of New South Wales, Canberra, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]},{"raw_affiliation_string":"[School of Engineering and Information Technology, University of New South, Wales Canberra, ACT, Australia]","institution_ids":["https://openalex.org/I31746571","https://openalex.org/I4394709116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032529996","display_name":"Sreenatha G. Anavatti","orcid":"https://orcid.org/0000-0002-4754-8191"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I4394709116","display_name":"UNSW Canberra","ror":"https://ror.org/0125wpx05","country_code":null,"type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I4394709116"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sreenatha G. Anavatti","raw_affiliation_strings":["School of Engineering and Information Technology, The University of New South Wales, Canberra, Australia","[School of Engineering and Information Technology, University of New South, Wales Canberra, ACT, Australia]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, The University of New South Wales, Canberra, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]},{"raw_affiliation_string":"[School of Engineering and Information Technology, University of New South, Wales Canberra, ACT, Australia]","institution_ids":["https://openalex.org/I31746571","https://openalex.org/I4394709116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9799,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81012941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"5","issue":null,"first_page":"000309","last_page":"000314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9972000122070312,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9966999888420105,"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/pixel","display_name":"Pixel","score":0.7462372183799744},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7392525672912598},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.7164434194564819},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7126600742340088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6718266010284424},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.6411647796630859},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6007376909255981},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44781729578971863},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4453062117099762},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4370443522930145},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38881248235702515},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2418426275253296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1926722228527069},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14009907841682434}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7462372183799744},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7392525672912598},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.7164434194564819},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7126600742340088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6718266010284424},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6411647796630859},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6007376909255981},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44781729578971863},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4453062117099762},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4370443522930145},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38881248235702515},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2418426275253296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1926722228527069},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14009907841682434},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspit.2013.6781899","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2013.6781899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Symposium on Signal Processing and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W215363133","https://openalex.org/W1867429401","https://openalex.org/W1970958080","https://openalex.org/W1978545186","https://openalex.org/W1978767683","https://openalex.org/W1998382633","https://openalex.org/W2025319249","https://openalex.org/W2029282731","https://openalex.org/W2029663212","https://openalex.org/W2035229000","https://openalex.org/W2052041893","https://openalex.org/W2067343550","https://openalex.org/W2092533129","https://openalex.org/W2097558395","https://openalex.org/W2126511344","https://openalex.org/W2142853128","https://openalex.org/W2147555557","https://openalex.org/W2149723649","https://openalex.org/W2161663128","https://openalex.org/W2186665482","https://openalex.org/W2314613087","https://openalex.org/W2327952377","https://openalex.org/W6639126518","https://openalex.org/W6657927642"],"related_works":["https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W2312753042","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852","https://openalex.org/W2621086889","https://openalex.org/W3174513558"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,17],"new":[4],"atmospheric":[5],"warp":[6],"estimation":[7,25,87],"method":[8,60,71,84],"based":[9],"on":[10],"Artificial":[11],"Neural":[12,20],"Network":[13,21],"(ANN).":[14],"We":[15],"employed":[16],"Generalized":[18],"Regression":[19],"(GRNN)":[22],"for":[23,44],"a-priori":[24],"of":[26,33,48,63,69,88],"the":[27,34,49,55,64,70,82,89],"upcoming":[28,90],"warped":[29],"frames":[30,51,91],"using":[31,74],"history":[32],"previous":[35],"frames.":[36],"A":[37],"non-rigid":[38],"image":[39],"registration":[40],"technique":[41],"is":[42,61,72],"used":[43],"determining":[45],"pixel":[46],"shifts":[47],"captured":[50],"with":[52,92],"respect":[53],"to":[54],"reference":[56],"frame.":[57],"The":[58,67],"proposed":[59,83],"independent":[62],"pixel-wander":[65],"model.":[66],"performance":[68],"evaluated":[73],"various":[75],"quality":[76],"metrics.":[77],"Simulation":[78],"results":[79],"show":[80],"that":[81],"provides":[85],"substantial":[86],"considerable":[93],"errors.":[94]},"counts_by_year":[{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
